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autoware_cuda_pointcloud_preprocessor package from autoware_universe repo

autoware_agnocast_wrapper autoware_auto_common autoware_boundary_departure_checker autoware_component_interface_specs_universe autoware_component_interface_tools autoware_component_interface_utils autoware_cuda_dependency_meta autoware_fake_test_node autoware_glog_component autoware_goal_distance_calculator autoware_grid_map_utils autoware_path_distance_calculator autoware_polar_grid autoware_time_utils autoware_traffic_light_recognition_marker_publisher autoware_traffic_light_utils autoware_universe_utils tier4_api_utils autoware_autonomous_emergency_braking autoware_collision_detector autoware_control_command_gate autoware_control_performance_analysis autoware_control_validator autoware_external_cmd_selector autoware_joy_controller autoware_lane_departure_checker autoware_mpc_lateral_controller autoware_obstacle_collision_checker autoware_operation_mode_transition_manager autoware_pid_longitudinal_controller autoware_predicted_path_checker autoware_pure_pursuit autoware_shift_decider autoware_smart_mpc_trajectory_follower autoware_stop_mode_operator autoware_trajectory_follower_base autoware_trajectory_follower_node autoware_vehicle_cmd_gate autoware_control_evaluator autoware_kinematic_evaluator autoware_localization_evaluator autoware_perception_online_evaluator autoware_planning_evaluator autoware_scenario_simulator_v2_adapter autoware_diagnostic_graph_test_examples tier4_autoware_api_launch tier4_control_launch tier4_localization_launch tier4_map_launch tier4_perception_launch tier4_planning_launch tier4_sensing_launch tier4_simulator_launch tier4_system_launch tier4_vehicle_launch autoware_geo_pose_projector autoware_ar_tag_based_localizer autoware_landmark_manager autoware_lidar_marker_localizer autoware_localization_error_monitor autoware_pose2twist autoware_pose_covariance_modifier autoware_pose_estimator_arbiter autoware_pose_instability_detector yabloc_common yabloc_image_processing yabloc_monitor yabloc_particle_filter yabloc_pose_initializer autoware_map_tf_generator autoware_bevfusion autoware_bytetrack autoware_cluster_merger autoware_compare_map_segmentation autoware_crosswalk_traffic_light_estimator autoware_detected_object_feature_remover autoware_detected_object_validation autoware_detection_by_tracker autoware_elevation_map_loader autoware_euclidean_cluster autoware_ground_segmentation autoware_image_projection_based_fusion autoware_lidar_apollo_instance_segmentation autoware_lidar_centerpoint autoware_lidar_transfusion autoware_map_based_prediction autoware_multi_object_tracker autoware_object_merger autoware_object_range_splitter autoware_object_sorter autoware_object_velocity_splitter autoware_occupancy_grid_map_outlier_filter autoware_probabilistic_occupancy_grid_map autoware_radar_fusion_to_detected_object autoware_radar_object_tracker autoware_radar_tracks_msgs_converter autoware_raindrop_cluster_filter autoware_shape_estimation autoware_simpl_prediction autoware_simple_object_merger autoware_tensorrt_bevdet autoware_tensorrt_classifier autoware_tensorrt_common autoware_tensorrt_plugins autoware_tensorrt_yolox autoware_tracking_object_merger autoware_traffic_light_arbiter autoware_traffic_light_category_merger autoware_traffic_light_classifier autoware_traffic_light_fine_detector autoware_traffic_light_map_based_detector autoware_traffic_light_multi_camera_fusion autoware_traffic_light_occlusion_predictor autoware_traffic_light_selector autoware_traffic_light_visualization perception_utils autoware_costmap_generator autoware_diffusion_planner autoware_external_velocity_limit_selector autoware_freespace_planner autoware_freespace_planning_algorithms autoware_hazard_lights_selector autoware_mission_planner_universe autoware_path_optimizer autoware_path_smoother autoware_remaining_distance_time_calculator autoware_rtc_interface autoware_scenario_selector autoware_surround_obstacle_checker autoware_behavior_path_avoidance_by_lane_change_module autoware_behavior_path_bidirectional_traffic_module autoware_behavior_path_dynamic_obstacle_avoidance_module autoware_behavior_path_external_request_lane_change_module autoware_behavior_path_goal_planner_module autoware_behavior_path_lane_change_module autoware_behavior_path_planner autoware_behavior_path_planner_common autoware_behavior_path_sampling_planner_module autoware_behavior_path_side_shift_module autoware_behavior_path_start_planner_module autoware_behavior_path_static_obstacle_avoidance_module autoware_behavior_velocity_blind_spot_module autoware_behavior_velocity_crosswalk_module autoware_behavior_velocity_detection_area_module autoware_behavior_velocity_intersection_module autoware_behavior_velocity_no_drivable_lane_module autoware_behavior_velocity_no_stopping_area_module autoware_behavior_velocity_occlusion_spot_module autoware_behavior_velocity_rtc_interface autoware_behavior_velocity_run_out_module autoware_behavior_velocity_speed_bump_module autoware_behavior_velocity_template_module autoware_behavior_velocity_traffic_light_module autoware_behavior_velocity_virtual_traffic_light_module autoware_behavior_velocity_walkway_module autoware_motion_velocity_boundary_departure_prevention_module autoware_motion_velocity_dynamic_obstacle_stop_module autoware_motion_velocity_obstacle_cruise_module autoware_motion_velocity_obstacle_slow_down_module autoware_motion_velocity_obstacle_velocity_limiter_module autoware_motion_velocity_out_of_lane_module autoware_motion_velocity_road_user_stop_module autoware_motion_velocity_run_out_module autoware_planning_validator autoware_planning_validator_intersection_collision_checker autoware_planning_validator_latency_checker autoware_planning_validator_rear_collision_checker autoware_planning_validator_test_utils autoware_planning_validator_trajectory_checker autoware_bezier_sampler autoware_frenet_planner autoware_path_sampler autoware_sampler_common autoware_cuda_pointcloud_preprocessor autoware_cuda_utils autoware_image_diagnostics autoware_image_transport_decompressor autoware_imu_corrector autoware_pcl_extensions autoware_pointcloud_preprocessor autoware_radar_objects_adapter autoware_radar_scan_to_pointcloud2 autoware_radar_static_pointcloud_filter autoware_radar_threshold_filter autoware_radar_tracks_noise_filter autoware_livox_tag_filter autoware_carla_interface autoware_dummy_perception_publisher autoware_fault_injection autoware_learning_based_vehicle_model autoware_simple_planning_simulator autoware_vehicle_door_simulator tier4_dummy_object_rviz_plugin autoware_bluetooth_monitor autoware_command_mode_decider autoware_command_mode_decider_plugins autoware_command_mode_switcher autoware_command_mode_switcher_plugins autoware_command_mode_types autoware_component_monitor autoware_component_state_monitor autoware_adapi_visualizers autoware_automatic_pose_initializer autoware_default_adapi_universe autoware_diagnostic_graph_aggregator autoware_diagnostic_graph_utils autoware_dummy_diag_publisher autoware_dummy_infrastructure autoware_duplicated_node_checker autoware_hazard_status_converter autoware_mrm_comfortable_stop_operator autoware_mrm_emergency_stop_operator autoware_mrm_handler autoware_pipeline_latency_monitor autoware_processing_time_checker autoware_system_monitor autoware_topic_relay_controller autoware_topic_state_monitor autoware_velodyne_monitor reaction_analyzer autoware_accel_brake_map_calibrator autoware_external_cmd_converter autoware_raw_vehicle_cmd_converter autoware_steer_offset_estimator autoware_bag_time_manager_rviz_plugin autoware_traffic_light_rviz_plugin tier4_adapi_rviz_plugin tier4_camera_view_rviz_plugin tier4_control_mode_rviz_plugin tier4_datetime_rviz_plugin tier4_perception_rviz_plugin tier4_planning_factor_rviz_plugin tier4_state_rviz_plugin tier4_system_rviz_plugin tier4_traffic_light_rviz_plugin tier4_vehicle_rviz_plugin

ROS Distro
github

Package Summary

Tags No category tags.
Version 0.47.0
License Apache License 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description
Checkout URI https://github.com/autowarefoundation/autoware_universe.git
VCS Type git
VCS Version main
Last Updated 2025-08-16
Dev Status UNKNOWN
Released UNRELEASED
Tags planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

autoware_cuda_pointcloud_preprocessor

Additional Links

No additional links.

Maintainers

  • Kenzo Lobos-Tsunekawa
  • Amadeusz Szymko
  • Max Schmeller
  • David Wong
  • Manato Hirabayashi
  • Yihsiang Fang

Authors

  • Kenzo Lobos-Tsunekawa

autoware_cuda_pointcloud_preprocessor

Purpose

The pointcloud preprocessing implemented in autoware_pointcloud_preprocessor has been thoroughly tested in autoware. However, the latency it introduces does not scale well with modern LiDAR devices due to the high number of points they introduce.

To alleviate this issue, this package reimplements most of the pipeline presented in autoware_pointcloud_preprocessor leveraging the use of GPGPUs. In particular, this package makes use of CUDA to provide accelerated versions of the already established implementations, while also maintaining compatibility with normal ROS nodes/topics. <!– cSpell: ignore GPGPUs >

Inner-workings / Algorithms

A detailed description of each filter’s algorithm is available in the following links.

Filter Name Description Detail
cuda_pointcloud_preprocessor Implements the cropping, distortion correction, and outlier filtering (ring-based) of the autoware_pointcloud_preprocessor’s CPU versions. link
cuda_concatenate_and_time_sync_node Implements pointcloud concatenation an synchronization following autoware_pointcloud_preprocessor’s CPU implementation. link
cuda_voxel_grid_downsample_filter Implements voxel downsample filtering of the autoware_pointcloud_preprocessor’s CPU version link

(Optional) Future extensions / Unimplemented parts

The subsample filters implemented in autoware_pointcloud_preprocessor will have similar counterparts in this package.

CHANGELOG

Changelog for package autoware_cuda_pointcloud_preprocessor

0.47.0 (2025-08-11)

  • style(pre-commit): update to clang-format-20 (#11088) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

  • fix(autoware cuda pointcloud preprocessor): trim IMU/twist queues correctly (#11055) fix(autoware_cuda_pointcloud_preprocessor): keep IMU/twist messages up to the one before the first point's timestamp

  • perf(autoware_cuda_pointcloud_preprocessor): execute thrust operations on the node's own CUDA stream (#10998)

    • perf(autoware_cuda_pointcloud_preprocessor): replace default thrust calls with ones with explicit cuda stream

    * chore: remove non-functional mempool allocator ---------

  • chore(autoware_cuda_pointcloud_preprocessor): add code owners (#11065)

  • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info (#10851)

    • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info
    • style(pre-commit): autofix
    • feat(autoware_cuda_pointcloud_preprocessor): handle concatenated pointcloud meta info
    • feat(autoware_pointcloud_preprocessor): serialized config of matching strategy
    • feat(autoware_pointcloud_preprocessor): update msg
    • feat(autoware_pointcloud_preprocessor): update msg (2)
    • docs(autoware_pointcloud_preprocessor): add cloud info topic description
    • feat(autoware_pointcloud_preprocessor): add unit tests for cloud info
    • fix(autoware_pointcloud_preprocessor): pre-commit
    • fix(autoware_pointcloud_preprocessor): remove *_struct headers inclusion
    • fix(autoware_pointcloud_preprocessor): check if the matching strategy cannot be enumerated
    • test(autoware_pointcloud_preprocessor): full cloud repr
    • feat(autoware_pointcloud_preprocessor): auto success set & more unit tests
    • feat(autoware_pointcloud_preprocessor): publish info regardless cloud content
    • style(autoware_pointcloud_preprocessor): typo
    • feat(autoware_pointcloud_preprocessor): make update_concatenated_point_cloud_config static for easier integration

    * docs(autoware_pointcloud_preprocessor): typo Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • fix(autoware_pointcloud_preprocessor): publish cloud info out of condition block
    • fix(autoware_pointcloud_preprocessor): container access with safe bound checking
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 1 - content)
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 2 - files name)
    • style(autoware_pointcloud_preprocessor): naming convention for main API
    • doc(autoware_pointcloud_preprocessor): add docstring

    * feat(autoware_pointcloud_preprocessor): add remap to launch files ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

  • fix(autoware_cuda_pointcloud_preprocessor): ensure type and API safety (#10987)

    • fix: return early on invalid pointcloud format
    • chore: add/remove (un)necessary initializer braces
    • chore: remove useless default destructor
    • fix: make layout check inline to comply with ODR
    • fix: check CUDA error for each API call
    • chore: fix most type-related clang-tidy warnings
    • chore: create point fields with less boilerplate
    • chore: change [num_]{.title-ref} fields back to [size_t]{.title-ref}
    • change [thrust::count]{.title-ref} result variables to [size_t]{.title-ref}

    * chore: static_assert that OutputPointType and InputPointType match Autoware point types ---------

  • Contributors: Amadeusz Szymko, David Wong, Max Schmeller, Mete Fatih

File truncated at 100 lines see the full file

Launch files

  • launch/cuda_concatenate_and_time_sync_node.launch.xml
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output [default: /sensing/lidar/concatenated/pointcloud]
      • output_info [default: /sensing/lidar/concatenated/pointcloud_info]
      • param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/concatenate_and_time_sync_node.param.yaml]
  • launch/cuda_pointcloud_preprocessor.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw_ex]
      • input/imu [default: /sensing/imu/imu_data]
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output/pointcloud [default: /sensing/lidar/top/test]
      • cuda_pointcloud_preprocessor_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_pointcloud_preprocessor.param.yaml]
  • launch/cuda_voxel_grid_downsample_filter.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw]
      • output/pointcloud [default: /sensing/lidar/top/downsampled]
      • debug [default: false]
      • cuda_voxel_gird_downsample_filter_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_voxel_grid_downsample_filter.param.yaml]

Messages

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Services

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Plugins

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autoware_cuda_pointcloud_preprocessor package from autoware_universe repo

autoware_agnocast_wrapper autoware_auto_common autoware_boundary_departure_checker autoware_component_interface_specs_universe autoware_component_interface_tools autoware_component_interface_utils autoware_cuda_dependency_meta autoware_fake_test_node autoware_glog_component autoware_goal_distance_calculator autoware_grid_map_utils autoware_path_distance_calculator autoware_polar_grid autoware_time_utils autoware_traffic_light_recognition_marker_publisher autoware_traffic_light_utils autoware_universe_utils tier4_api_utils autoware_autonomous_emergency_braking autoware_collision_detector autoware_control_command_gate autoware_control_performance_analysis autoware_control_validator autoware_external_cmd_selector autoware_joy_controller autoware_lane_departure_checker autoware_mpc_lateral_controller autoware_obstacle_collision_checker autoware_operation_mode_transition_manager autoware_pid_longitudinal_controller autoware_predicted_path_checker autoware_pure_pursuit autoware_shift_decider autoware_smart_mpc_trajectory_follower autoware_stop_mode_operator autoware_trajectory_follower_base autoware_trajectory_follower_node autoware_vehicle_cmd_gate autoware_control_evaluator autoware_kinematic_evaluator autoware_localization_evaluator autoware_perception_online_evaluator autoware_planning_evaluator autoware_scenario_simulator_v2_adapter autoware_diagnostic_graph_test_examples tier4_autoware_api_launch tier4_control_launch tier4_localization_launch tier4_map_launch tier4_perception_launch tier4_planning_launch tier4_sensing_launch tier4_simulator_launch tier4_system_launch tier4_vehicle_launch autoware_geo_pose_projector autoware_ar_tag_based_localizer autoware_landmark_manager autoware_lidar_marker_localizer autoware_localization_error_monitor autoware_pose2twist autoware_pose_covariance_modifier autoware_pose_estimator_arbiter autoware_pose_instability_detector yabloc_common yabloc_image_processing yabloc_monitor yabloc_particle_filter yabloc_pose_initializer autoware_map_tf_generator autoware_bevfusion autoware_bytetrack autoware_cluster_merger autoware_compare_map_segmentation autoware_crosswalk_traffic_light_estimator autoware_detected_object_feature_remover autoware_detected_object_validation autoware_detection_by_tracker autoware_elevation_map_loader autoware_euclidean_cluster autoware_ground_segmentation autoware_image_projection_based_fusion autoware_lidar_apollo_instance_segmentation autoware_lidar_centerpoint autoware_lidar_transfusion autoware_map_based_prediction autoware_multi_object_tracker autoware_object_merger autoware_object_range_splitter autoware_object_sorter autoware_object_velocity_splitter autoware_occupancy_grid_map_outlier_filter autoware_probabilistic_occupancy_grid_map autoware_radar_fusion_to_detected_object autoware_radar_object_tracker autoware_radar_tracks_msgs_converter autoware_raindrop_cluster_filter autoware_shape_estimation autoware_simpl_prediction autoware_simple_object_merger autoware_tensorrt_bevdet autoware_tensorrt_classifier autoware_tensorrt_common autoware_tensorrt_plugins autoware_tensorrt_yolox autoware_tracking_object_merger autoware_traffic_light_arbiter autoware_traffic_light_category_merger autoware_traffic_light_classifier autoware_traffic_light_fine_detector autoware_traffic_light_map_based_detector autoware_traffic_light_multi_camera_fusion autoware_traffic_light_occlusion_predictor autoware_traffic_light_selector autoware_traffic_light_visualization perception_utils autoware_costmap_generator autoware_diffusion_planner autoware_external_velocity_limit_selector autoware_freespace_planner autoware_freespace_planning_algorithms autoware_hazard_lights_selector autoware_mission_planner_universe autoware_path_optimizer autoware_path_smoother autoware_remaining_distance_time_calculator autoware_rtc_interface autoware_scenario_selector autoware_surround_obstacle_checker autoware_behavior_path_avoidance_by_lane_change_module autoware_behavior_path_bidirectional_traffic_module autoware_behavior_path_dynamic_obstacle_avoidance_module autoware_behavior_path_external_request_lane_change_module autoware_behavior_path_goal_planner_module autoware_behavior_path_lane_change_module autoware_behavior_path_planner autoware_behavior_path_planner_common autoware_behavior_path_sampling_planner_module autoware_behavior_path_side_shift_module autoware_behavior_path_start_planner_module autoware_behavior_path_static_obstacle_avoidance_module autoware_behavior_velocity_blind_spot_module autoware_behavior_velocity_crosswalk_module autoware_behavior_velocity_detection_area_module autoware_behavior_velocity_intersection_module autoware_behavior_velocity_no_drivable_lane_module autoware_behavior_velocity_no_stopping_area_module autoware_behavior_velocity_occlusion_spot_module autoware_behavior_velocity_rtc_interface autoware_behavior_velocity_run_out_module autoware_behavior_velocity_speed_bump_module autoware_behavior_velocity_template_module autoware_behavior_velocity_traffic_light_module autoware_behavior_velocity_virtual_traffic_light_module autoware_behavior_velocity_walkway_module autoware_motion_velocity_boundary_departure_prevention_module autoware_motion_velocity_dynamic_obstacle_stop_module autoware_motion_velocity_obstacle_cruise_module autoware_motion_velocity_obstacle_slow_down_module autoware_motion_velocity_obstacle_velocity_limiter_module autoware_motion_velocity_out_of_lane_module autoware_motion_velocity_road_user_stop_module autoware_motion_velocity_run_out_module autoware_planning_validator autoware_planning_validator_intersection_collision_checker autoware_planning_validator_latency_checker autoware_planning_validator_rear_collision_checker autoware_planning_validator_test_utils autoware_planning_validator_trajectory_checker autoware_bezier_sampler autoware_frenet_planner autoware_path_sampler autoware_sampler_common autoware_cuda_pointcloud_preprocessor autoware_cuda_utils autoware_image_diagnostics autoware_image_transport_decompressor autoware_imu_corrector autoware_pcl_extensions autoware_pointcloud_preprocessor autoware_radar_objects_adapter autoware_radar_scan_to_pointcloud2 autoware_radar_static_pointcloud_filter autoware_radar_threshold_filter autoware_radar_tracks_noise_filter autoware_livox_tag_filter autoware_carla_interface autoware_dummy_perception_publisher autoware_fault_injection autoware_learning_based_vehicle_model autoware_simple_planning_simulator autoware_vehicle_door_simulator tier4_dummy_object_rviz_plugin autoware_bluetooth_monitor autoware_command_mode_decider autoware_command_mode_decider_plugins autoware_command_mode_switcher autoware_command_mode_switcher_plugins autoware_command_mode_types autoware_component_monitor autoware_component_state_monitor autoware_adapi_visualizers autoware_automatic_pose_initializer autoware_default_adapi_universe autoware_diagnostic_graph_aggregator autoware_diagnostic_graph_utils autoware_dummy_diag_publisher autoware_dummy_infrastructure autoware_duplicated_node_checker autoware_hazard_status_converter autoware_mrm_comfortable_stop_operator autoware_mrm_emergency_stop_operator autoware_mrm_handler autoware_pipeline_latency_monitor autoware_processing_time_checker autoware_system_monitor autoware_topic_relay_controller autoware_topic_state_monitor autoware_velodyne_monitor reaction_analyzer autoware_accel_brake_map_calibrator autoware_external_cmd_converter autoware_raw_vehicle_cmd_converter autoware_steer_offset_estimator autoware_bag_time_manager_rviz_plugin autoware_traffic_light_rviz_plugin tier4_adapi_rviz_plugin tier4_camera_view_rviz_plugin tier4_control_mode_rviz_plugin tier4_datetime_rviz_plugin tier4_perception_rviz_plugin tier4_planning_factor_rviz_plugin tier4_state_rviz_plugin tier4_system_rviz_plugin tier4_traffic_light_rviz_plugin tier4_vehicle_rviz_plugin

ROS Distro
github

Package Summary

Tags No category tags.
Version 0.47.0
License Apache License 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description
Checkout URI https://github.com/autowarefoundation/autoware_universe.git
VCS Type git
VCS Version main
Last Updated 2025-08-16
Dev Status UNKNOWN
Released UNRELEASED
Tags planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

autoware_cuda_pointcloud_preprocessor

Additional Links

No additional links.

Maintainers

  • Kenzo Lobos-Tsunekawa
  • Amadeusz Szymko
  • Max Schmeller
  • David Wong
  • Manato Hirabayashi
  • Yihsiang Fang

Authors

  • Kenzo Lobos-Tsunekawa

autoware_cuda_pointcloud_preprocessor

Purpose

The pointcloud preprocessing implemented in autoware_pointcloud_preprocessor has been thoroughly tested in autoware. However, the latency it introduces does not scale well with modern LiDAR devices due to the high number of points they introduce.

To alleviate this issue, this package reimplements most of the pipeline presented in autoware_pointcloud_preprocessor leveraging the use of GPGPUs. In particular, this package makes use of CUDA to provide accelerated versions of the already established implementations, while also maintaining compatibility with normal ROS nodes/topics. <!– cSpell: ignore GPGPUs >

Inner-workings / Algorithms

A detailed description of each filter’s algorithm is available in the following links.

Filter Name Description Detail
cuda_pointcloud_preprocessor Implements the cropping, distortion correction, and outlier filtering (ring-based) of the autoware_pointcloud_preprocessor’s CPU versions. link
cuda_concatenate_and_time_sync_node Implements pointcloud concatenation an synchronization following autoware_pointcloud_preprocessor’s CPU implementation. link
cuda_voxel_grid_downsample_filter Implements voxel downsample filtering of the autoware_pointcloud_preprocessor’s CPU version link

(Optional) Future extensions / Unimplemented parts

The subsample filters implemented in autoware_pointcloud_preprocessor will have similar counterparts in this package.

CHANGELOG

Changelog for package autoware_cuda_pointcloud_preprocessor

0.47.0 (2025-08-11)

  • style(pre-commit): update to clang-format-20 (#11088) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

  • fix(autoware cuda pointcloud preprocessor): trim IMU/twist queues correctly (#11055) fix(autoware_cuda_pointcloud_preprocessor): keep IMU/twist messages up to the one before the first point's timestamp

  • perf(autoware_cuda_pointcloud_preprocessor): execute thrust operations on the node's own CUDA stream (#10998)

    • perf(autoware_cuda_pointcloud_preprocessor): replace default thrust calls with ones with explicit cuda stream

    * chore: remove non-functional mempool allocator ---------

  • chore(autoware_cuda_pointcloud_preprocessor): add code owners (#11065)

  • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info (#10851)

    • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info
    • style(pre-commit): autofix
    • feat(autoware_cuda_pointcloud_preprocessor): handle concatenated pointcloud meta info
    • feat(autoware_pointcloud_preprocessor): serialized config of matching strategy
    • feat(autoware_pointcloud_preprocessor): update msg
    • feat(autoware_pointcloud_preprocessor): update msg (2)
    • docs(autoware_pointcloud_preprocessor): add cloud info topic description
    • feat(autoware_pointcloud_preprocessor): add unit tests for cloud info
    • fix(autoware_pointcloud_preprocessor): pre-commit
    • fix(autoware_pointcloud_preprocessor): remove *_struct headers inclusion
    • fix(autoware_pointcloud_preprocessor): check if the matching strategy cannot be enumerated
    • test(autoware_pointcloud_preprocessor): full cloud repr
    • feat(autoware_pointcloud_preprocessor): auto success set & more unit tests
    • feat(autoware_pointcloud_preprocessor): publish info regardless cloud content
    • style(autoware_pointcloud_preprocessor): typo
    • feat(autoware_pointcloud_preprocessor): make update_concatenated_point_cloud_config static for easier integration

    * docs(autoware_pointcloud_preprocessor): typo Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • fix(autoware_pointcloud_preprocessor): publish cloud info out of condition block
    • fix(autoware_pointcloud_preprocessor): container access with safe bound checking
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 1 - content)
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 2 - files name)
    • style(autoware_pointcloud_preprocessor): naming convention for main API
    • doc(autoware_pointcloud_preprocessor): add docstring

    * feat(autoware_pointcloud_preprocessor): add remap to launch files ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

  • fix(autoware_cuda_pointcloud_preprocessor): ensure type and API safety (#10987)

    • fix: return early on invalid pointcloud format
    • chore: add/remove (un)necessary initializer braces
    • chore: remove useless default destructor
    • fix: make layout check inline to comply with ODR
    • fix: check CUDA error for each API call
    • chore: fix most type-related clang-tidy warnings
    • chore: create point fields with less boilerplate
    • chore: change [num_]{.title-ref} fields back to [size_t]{.title-ref}
    • change [thrust::count]{.title-ref} result variables to [size_t]{.title-ref}

    * chore: static_assert that OutputPointType and InputPointType match Autoware point types ---------

  • Contributors: Amadeusz Szymko, David Wong, Max Schmeller, Mete Fatih

File truncated at 100 lines see the full file

Launch files

  • launch/cuda_concatenate_and_time_sync_node.launch.xml
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output [default: /sensing/lidar/concatenated/pointcloud]
      • output_info [default: /sensing/lidar/concatenated/pointcloud_info]
      • param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/concatenate_and_time_sync_node.param.yaml]
  • launch/cuda_pointcloud_preprocessor.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw_ex]
      • input/imu [default: /sensing/imu/imu_data]
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output/pointcloud [default: /sensing/lidar/top/test]
      • cuda_pointcloud_preprocessor_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_pointcloud_preprocessor.param.yaml]
  • launch/cuda_voxel_grid_downsample_filter.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw]
      • output/pointcloud [default: /sensing/lidar/top/downsampled]
      • debug [default: false]
      • cuda_voxel_gird_downsample_filter_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_voxel_grid_downsample_filter.param.yaml]

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Recent questions tagged autoware_cuda_pointcloud_preprocessor at Robotics Stack Exchange

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autoware_cuda_pointcloud_preprocessor package from autoware_universe repo

autoware_agnocast_wrapper autoware_auto_common autoware_boundary_departure_checker autoware_component_interface_specs_universe autoware_component_interface_tools autoware_component_interface_utils autoware_cuda_dependency_meta autoware_fake_test_node autoware_glog_component autoware_goal_distance_calculator autoware_grid_map_utils autoware_path_distance_calculator autoware_polar_grid autoware_time_utils autoware_traffic_light_recognition_marker_publisher autoware_traffic_light_utils autoware_universe_utils tier4_api_utils autoware_autonomous_emergency_braking autoware_collision_detector autoware_control_command_gate autoware_control_performance_analysis autoware_control_validator autoware_external_cmd_selector autoware_joy_controller autoware_lane_departure_checker autoware_mpc_lateral_controller autoware_obstacle_collision_checker autoware_operation_mode_transition_manager autoware_pid_longitudinal_controller autoware_predicted_path_checker autoware_pure_pursuit autoware_shift_decider autoware_smart_mpc_trajectory_follower autoware_stop_mode_operator autoware_trajectory_follower_base autoware_trajectory_follower_node autoware_vehicle_cmd_gate autoware_control_evaluator autoware_kinematic_evaluator autoware_localization_evaluator autoware_perception_online_evaluator autoware_planning_evaluator autoware_scenario_simulator_v2_adapter autoware_diagnostic_graph_test_examples tier4_autoware_api_launch tier4_control_launch tier4_localization_launch tier4_map_launch tier4_perception_launch tier4_planning_launch tier4_sensing_launch tier4_simulator_launch tier4_system_launch tier4_vehicle_launch autoware_geo_pose_projector autoware_ar_tag_based_localizer autoware_landmark_manager autoware_lidar_marker_localizer autoware_localization_error_monitor autoware_pose2twist autoware_pose_covariance_modifier autoware_pose_estimator_arbiter autoware_pose_instability_detector yabloc_common yabloc_image_processing yabloc_monitor yabloc_particle_filter yabloc_pose_initializer autoware_map_tf_generator autoware_bevfusion autoware_bytetrack autoware_cluster_merger autoware_compare_map_segmentation autoware_crosswalk_traffic_light_estimator autoware_detected_object_feature_remover autoware_detected_object_validation autoware_detection_by_tracker autoware_elevation_map_loader autoware_euclidean_cluster autoware_ground_segmentation autoware_image_projection_based_fusion autoware_lidar_apollo_instance_segmentation autoware_lidar_centerpoint autoware_lidar_transfusion autoware_map_based_prediction autoware_multi_object_tracker autoware_object_merger autoware_object_range_splitter autoware_object_sorter autoware_object_velocity_splitter autoware_occupancy_grid_map_outlier_filter autoware_probabilistic_occupancy_grid_map autoware_radar_fusion_to_detected_object autoware_radar_object_tracker autoware_radar_tracks_msgs_converter autoware_raindrop_cluster_filter autoware_shape_estimation autoware_simpl_prediction autoware_simple_object_merger autoware_tensorrt_bevdet autoware_tensorrt_classifier autoware_tensorrt_common autoware_tensorrt_plugins autoware_tensorrt_yolox autoware_tracking_object_merger autoware_traffic_light_arbiter autoware_traffic_light_category_merger autoware_traffic_light_classifier autoware_traffic_light_fine_detector autoware_traffic_light_map_based_detector autoware_traffic_light_multi_camera_fusion autoware_traffic_light_occlusion_predictor autoware_traffic_light_selector autoware_traffic_light_visualization perception_utils autoware_costmap_generator autoware_diffusion_planner autoware_external_velocity_limit_selector autoware_freespace_planner autoware_freespace_planning_algorithms autoware_hazard_lights_selector autoware_mission_planner_universe autoware_path_optimizer autoware_path_smoother autoware_remaining_distance_time_calculator autoware_rtc_interface autoware_scenario_selector autoware_surround_obstacle_checker autoware_behavior_path_avoidance_by_lane_change_module autoware_behavior_path_bidirectional_traffic_module autoware_behavior_path_dynamic_obstacle_avoidance_module autoware_behavior_path_external_request_lane_change_module autoware_behavior_path_goal_planner_module autoware_behavior_path_lane_change_module autoware_behavior_path_planner autoware_behavior_path_planner_common autoware_behavior_path_sampling_planner_module autoware_behavior_path_side_shift_module autoware_behavior_path_start_planner_module autoware_behavior_path_static_obstacle_avoidance_module autoware_behavior_velocity_blind_spot_module autoware_behavior_velocity_crosswalk_module autoware_behavior_velocity_detection_area_module autoware_behavior_velocity_intersection_module autoware_behavior_velocity_no_drivable_lane_module autoware_behavior_velocity_no_stopping_area_module autoware_behavior_velocity_occlusion_spot_module autoware_behavior_velocity_rtc_interface autoware_behavior_velocity_run_out_module autoware_behavior_velocity_speed_bump_module autoware_behavior_velocity_template_module autoware_behavior_velocity_traffic_light_module autoware_behavior_velocity_virtual_traffic_light_module autoware_behavior_velocity_walkway_module autoware_motion_velocity_boundary_departure_prevention_module autoware_motion_velocity_dynamic_obstacle_stop_module autoware_motion_velocity_obstacle_cruise_module autoware_motion_velocity_obstacle_slow_down_module autoware_motion_velocity_obstacle_velocity_limiter_module autoware_motion_velocity_out_of_lane_module autoware_motion_velocity_road_user_stop_module autoware_motion_velocity_run_out_module autoware_planning_validator autoware_planning_validator_intersection_collision_checker autoware_planning_validator_latency_checker autoware_planning_validator_rear_collision_checker autoware_planning_validator_test_utils autoware_planning_validator_trajectory_checker autoware_bezier_sampler autoware_frenet_planner autoware_path_sampler autoware_sampler_common autoware_cuda_pointcloud_preprocessor autoware_cuda_utils autoware_image_diagnostics autoware_image_transport_decompressor autoware_imu_corrector autoware_pcl_extensions autoware_pointcloud_preprocessor autoware_radar_objects_adapter autoware_radar_scan_to_pointcloud2 autoware_radar_static_pointcloud_filter autoware_radar_threshold_filter autoware_radar_tracks_noise_filter autoware_livox_tag_filter autoware_carla_interface autoware_dummy_perception_publisher autoware_fault_injection autoware_learning_based_vehicle_model autoware_simple_planning_simulator autoware_vehicle_door_simulator tier4_dummy_object_rviz_plugin autoware_bluetooth_monitor autoware_command_mode_decider autoware_command_mode_decider_plugins autoware_command_mode_switcher autoware_command_mode_switcher_plugins autoware_command_mode_types autoware_component_monitor autoware_component_state_monitor autoware_adapi_visualizers autoware_automatic_pose_initializer autoware_default_adapi_universe autoware_diagnostic_graph_aggregator autoware_diagnostic_graph_utils autoware_dummy_diag_publisher autoware_dummy_infrastructure autoware_duplicated_node_checker autoware_hazard_status_converter autoware_mrm_comfortable_stop_operator autoware_mrm_emergency_stop_operator autoware_mrm_handler autoware_pipeline_latency_monitor autoware_processing_time_checker autoware_system_monitor autoware_topic_relay_controller autoware_topic_state_monitor autoware_velodyne_monitor reaction_analyzer autoware_accel_brake_map_calibrator autoware_external_cmd_converter autoware_raw_vehicle_cmd_converter autoware_steer_offset_estimator autoware_bag_time_manager_rviz_plugin autoware_traffic_light_rviz_plugin tier4_adapi_rviz_plugin tier4_camera_view_rviz_plugin tier4_control_mode_rviz_plugin tier4_datetime_rviz_plugin tier4_perception_rviz_plugin tier4_planning_factor_rviz_plugin tier4_state_rviz_plugin tier4_system_rviz_plugin tier4_traffic_light_rviz_plugin tier4_vehicle_rviz_plugin

ROS Distro
github

Package Summary

Tags No category tags.
Version 0.47.0
License Apache License 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description
Checkout URI https://github.com/autowarefoundation/autoware_universe.git
VCS Type git
VCS Version main
Last Updated 2025-08-16
Dev Status UNKNOWN
Released UNRELEASED
Tags planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

autoware_cuda_pointcloud_preprocessor

Additional Links

No additional links.

Maintainers

  • Kenzo Lobos-Tsunekawa
  • Amadeusz Szymko
  • Max Schmeller
  • David Wong
  • Manato Hirabayashi
  • Yihsiang Fang

Authors

  • Kenzo Lobos-Tsunekawa

autoware_cuda_pointcloud_preprocessor

Purpose

The pointcloud preprocessing implemented in autoware_pointcloud_preprocessor has been thoroughly tested in autoware. However, the latency it introduces does not scale well with modern LiDAR devices due to the high number of points they introduce.

To alleviate this issue, this package reimplements most of the pipeline presented in autoware_pointcloud_preprocessor leveraging the use of GPGPUs. In particular, this package makes use of CUDA to provide accelerated versions of the already established implementations, while also maintaining compatibility with normal ROS nodes/topics. <!– cSpell: ignore GPGPUs >

Inner-workings / Algorithms

A detailed description of each filter’s algorithm is available in the following links.

Filter Name Description Detail
cuda_pointcloud_preprocessor Implements the cropping, distortion correction, and outlier filtering (ring-based) of the autoware_pointcloud_preprocessor’s CPU versions. link
cuda_concatenate_and_time_sync_node Implements pointcloud concatenation an synchronization following autoware_pointcloud_preprocessor’s CPU implementation. link
cuda_voxel_grid_downsample_filter Implements voxel downsample filtering of the autoware_pointcloud_preprocessor’s CPU version link

(Optional) Future extensions / Unimplemented parts

The subsample filters implemented in autoware_pointcloud_preprocessor will have similar counterparts in this package.

CHANGELOG

Changelog for package autoware_cuda_pointcloud_preprocessor

0.47.0 (2025-08-11)

  • style(pre-commit): update to clang-format-20 (#11088) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

  • fix(autoware cuda pointcloud preprocessor): trim IMU/twist queues correctly (#11055) fix(autoware_cuda_pointcloud_preprocessor): keep IMU/twist messages up to the one before the first point's timestamp

  • perf(autoware_cuda_pointcloud_preprocessor): execute thrust operations on the node's own CUDA stream (#10998)

    • perf(autoware_cuda_pointcloud_preprocessor): replace default thrust calls with ones with explicit cuda stream

    * chore: remove non-functional mempool allocator ---------

  • chore(autoware_cuda_pointcloud_preprocessor): add code owners (#11065)

  • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info (#10851)

    • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info
    • style(pre-commit): autofix
    • feat(autoware_cuda_pointcloud_preprocessor): handle concatenated pointcloud meta info
    • feat(autoware_pointcloud_preprocessor): serialized config of matching strategy
    • feat(autoware_pointcloud_preprocessor): update msg
    • feat(autoware_pointcloud_preprocessor): update msg (2)
    • docs(autoware_pointcloud_preprocessor): add cloud info topic description
    • feat(autoware_pointcloud_preprocessor): add unit tests for cloud info
    • fix(autoware_pointcloud_preprocessor): pre-commit
    • fix(autoware_pointcloud_preprocessor): remove *_struct headers inclusion
    • fix(autoware_pointcloud_preprocessor): check if the matching strategy cannot be enumerated
    • test(autoware_pointcloud_preprocessor): full cloud repr
    • feat(autoware_pointcloud_preprocessor): auto success set & more unit tests
    • feat(autoware_pointcloud_preprocessor): publish info regardless cloud content
    • style(autoware_pointcloud_preprocessor): typo
    • feat(autoware_pointcloud_preprocessor): make update_concatenated_point_cloud_config static for easier integration

    * docs(autoware_pointcloud_preprocessor): typo Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • fix(autoware_pointcloud_preprocessor): publish cloud info out of condition block
    • fix(autoware_pointcloud_preprocessor): container access with safe bound checking
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 1 - content)
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 2 - files name)
    • style(autoware_pointcloud_preprocessor): naming convention for main API
    • doc(autoware_pointcloud_preprocessor): add docstring

    * feat(autoware_pointcloud_preprocessor): add remap to launch files ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

  • fix(autoware_cuda_pointcloud_preprocessor): ensure type and API safety (#10987)

    • fix: return early on invalid pointcloud format
    • chore: add/remove (un)necessary initializer braces
    • chore: remove useless default destructor
    • fix: make layout check inline to comply with ODR
    • fix: check CUDA error for each API call
    • chore: fix most type-related clang-tidy warnings
    • chore: create point fields with less boilerplate
    • chore: change [num_]{.title-ref} fields back to [size_t]{.title-ref}
    • change [thrust::count]{.title-ref} result variables to [size_t]{.title-ref}

    * chore: static_assert that OutputPointType and InputPointType match Autoware point types ---------

  • Contributors: Amadeusz Szymko, David Wong, Max Schmeller, Mete Fatih

File truncated at 100 lines see the full file

Launch files

  • launch/cuda_concatenate_and_time_sync_node.launch.xml
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output [default: /sensing/lidar/concatenated/pointcloud]
      • output_info [default: /sensing/lidar/concatenated/pointcloud_info]
      • param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/concatenate_and_time_sync_node.param.yaml]
  • launch/cuda_pointcloud_preprocessor.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw_ex]
      • input/imu [default: /sensing/imu/imu_data]
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output/pointcloud [default: /sensing/lidar/top/test]
      • cuda_pointcloud_preprocessor_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_pointcloud_preprocessor.param.yaml]
  • launch/cuda_voxel_grid_downsample_filter.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw]
      • output/pointcloud [default: /sensing/lidar/top/downsampled]
      • debug [default: false]
      • cuda_voxel_gird_downsample_filter_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_voxel_grid_downsample_filter.param.yaml]

Messages

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Plugins

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Recent questions tagged autoware_cuda_pointcloud_preprocessor at Robotics Stack Exchange

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Package symbol

autoware_cuda_pointcloud_preprocessor package from autoware_universe repo

autoware_agnocast_wrapper autoware_auto_common autoware_boundary_departure_checker autoware_component_interface_specs_universe autoware_component_interface_tools autoware_component_interface_utils autoware_cuda_dependency_meta autoware_fake_test_node autoware_glog_component autoware_goal_distance_calculator autoware_grid_map_utils autoware_path_distance_calculator autoware_polar_grid autoware_time_utils autoware_traffic_light_recognition_marker_publisher autoware_traffic_light_utils autoware_universe_utils tier4_api_utils autoware_autonomous_emergency_braking autoware_collision_detector autoware_control_command_gate autoware_control_performance_analysis autoware_control_validator autoware_external_cmd_selector autoware_joy_controller autoware_lane_departure_checker autoware_mpc_lateral_controller autoware_obstacle_collision_checker autoware_operation_mode_transition_manager autoware_pid_longitudinal_controller autoware_predicted_path_checker autoware_pure_pursuit autoware_shift_decider autoware_smart_mpc_trajectory_follower autoware_stop_mode_operator autoware_trajectory_follower_base autoware_trajectory_follower_node autoware_vehicle_cmd_gate autoware_control_evaluator autoware_kinematic_evaluator autoware_localization_evaluator autoware_perception_online_evaluator autoware_planning_evaluator autoware_scenario_simulator_v2_adapter autoware_diagnostic_graph_test_examples tier4_autoware_api_launch tier4_control_launch tier4_localization_launch tier4_map_launch tier4_perception_launch tier4_planning_launch tier4_sensing_launch tier4_simulator_launch tier4_system_launch tier4_vehicle_launch autoware_geo_pose_projector autoware_ar_tag_based_localizer autoware_landmark_manager autoware_lidar_marker_localizer autoware_localization_error_monitor autoware_pose2twist autoware_pose_covariance_modifier autoware_pose_estimator_arbiter autoware_pose_instability_detector yabloc_common yabloc_image_processing yabloc_monitor yabloc_particle_filter yabloc_pose_initializer autoware_map_tf_generator autoware_bevfusion autoware_bytetrack autoware_cluster_merger autoware_compare_map_segmentation autoware_crosswalk_traffic_light_estimator autoware_detected_object_feature_remover autoware_detected_object_validation autoware_detection_by_tracker autoware_elevation_map_loader autoware_euclidean_cluster autoware_ground_segmentation autoware_image_projection_based_fusion autoware_lidar_apollo_instance_segmentation autoware_lidar_centerpoint autoware_lidar_transfusion autoware_map_based_prediction autoware_multi_object_tracker autoware_object_merger autoware_object_range_splitter autoware_object_sorter autoware_object_velocity_splitter autoware_occupancy_grid_map_outlier_filter autoware_probabilistic_occupancy_grid_map autoware_radar_fusion_to_detected_object autoware_radar_object_tracker autoware_radar_tracks_msgs_converter autoware_raindrop_cluster_filter autoware_shape_estimation autoware_simpl_prediction autoware_simple_object_merger autoware_tensorrt_bevdet autoware_tensorrt_classifier autoware_tensorrt_common autoware_tensorrt_plugins autoware_tensorrt_yolox autoware_tracking_object_merger autoware_traffic_light_arbiter autoware_traffic_light_category_merger autoware_traffic_light_classifier autoware_traffic_light_fine_detector autoware_traffic_light_map_based_detector autoware_traffic_light_multi_camera_fusion autoware_traffic_light_occlusion_predictor autoware_traffic_light_selector autoware_traffic_light_visualization perception_utils autoware_costmap_generator autoware_diffusion_planner autoware_external_velocity_limit_selector autoware_freespace_planner autoware_freespace_planning_algorithms autoware_hazard_lights_selector autoware_mission_planner_universe autoware_path_optimizer autoware_path_smoother autoware_remaining_distance_time_calculator autoware_rtc_interface autoware_scenario_selector autoware_surround_obstacle_checker autoware_behavior_path_avoidance_by_lane_change_module autoware_behavior_path_bidirectional_traffic_module autoware_behavior_path_dynamic_obstacle_avoidance_module autoware_behavior_path_external_request_lane_change_module autoware_behavior_path_goal_planner_module autoware_behavior_path_lane_change_module autoware_behavior_path_planner autoware_behavior_path_planner_common autoware_behavior_path_sampling_planner_module autoware_behavior_path_side_shift_module autoware_behavior_path_start_planner_module autoware_behavior_path_static_obstacle_avoidance_module autoware_behavior_velocity_blind_spot_module autoware_behavior_velocity_crosswalk_module autoware_behavior_velocity_detection_area_module autoware_behavior_velocity_intersection_module autoware_behavior_velocity_no_drivable_lane_module autoware_behavior_velocity_no_stopping_area_module autoware_behavior_velocity_occlusion_spot_module autoware_behavior_velocity_rtc_interface autoware_behavior_velocity_run_out_module autoware_behavior_velocity_speed_bump_module autoware_behavior_velocity_template_module autoware_behavior_velocity_traffic_light_module autoware_behavior_velocity_virtual_traffic_light_module autoware_behavior_velocity_walkway_module autoware_motion_velocity_boundary_departure_prevention_module autoware_motion_velocity_dynamic_obstacle_stop_module autoware_motion_velocity_obstacle_cruise_module autoware_motion_velocity_obstacle_slow_down_module autoware_motion_velocity_obstacle_velocity_limiter_module autoware_motion_velocity_out_of_lane_module autoware_motion_velocity_road_user_stop_module autoware_motion_velocity_run_out_module autoware_planning_validator autoware_planning_validator_intersection_collision_checker autoware_planning_validator_latency_checker autoware_planning_validator_rear_collision_checker autoware_planning_validator_test_utils autoware_planning_validator_trajectory_checker autoware_bezier_sampler autoware_frenet_planner autoware_path_sampler autoware_sampler_common autoware_cuda_pointcloud_preprocessor autoware_cuda_utils autoware_image_diagnostics autoware_image_transport_decompressor autoware_imu_corrector autoware_pcl_extensions autoware_pointcloud_preprocessor autoware_radar_objects_adapter autoware_radar_scan_to_pointcloud2 autoware_radar_static_pointcloud_filter autoware_radar_threshold_filter autoware_radar_tracks_noise_filter autoware_livox_tag_filter autoware_carla_interface autoware_dummy_perception_publisher autoware_fault_injection autoware_learning_based_vehicle_model autoware_simple_planning_simulator autoware_vehicle_door_simulator tier4_dummy_object_rviz_plugin autoware_bluetooth_monitor autoware_command_mode_decider autoware_command_mode_decider_plugins autoware_command_mode_switcher autoware_command_mode_switcher_plugins autoware_command_mode_types autoware_component_monitor autoware_component_state_monitor autoware_adapi_visualizers autoware_automatic_pose_initializer autoware_default_adapi_universe autoware_diagnostic_graph_aggregator autoware_diagnostic_graph_utils autoware_dummy_diag_publisher autoware_dummy_infrastructure autoware_duplicated_node_checker autoware_hazard_status_converter autoware_mrm_comfortable_stop_operator autoware_mrm_emergency_stop_operator autoware_mrm_handler autoware_pipeline_latency_monitor autoware_processing_time_checker autoware_system_monitor autoware_topic_relay_controller autoware_topic_state_monitor autoware_velodyne_monitor reaction_analyzer autoware_accel_brake_map_calibrator autoware_external_cmd_converter autoware_raw_vehicle_cmd_converter autoware_steer_offset_estimator autoware_bag_time_manager_rviz_plugin autoware_traffic_light_rviz_plugin tier4_adapi_rviz_plugin tier4_camera_view_rviz_plugin tier4_control_mode_rviz_plugin tier4_datetime_rviz_plugin tier4_perception_rviz_plugin tier4_planning_factor_rviz_plugin tier4_state_rviz_plugin tier4_system_rviz_plugin tier4_traffic_light_rviz_plugin tier4_vehicle_rviz_plugin

ROS Distro
github

Package Summary

Tags No category tags.
Version 0.47.0
License Apache License 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description
Checkout URI https://github.com/autowarefoundation/autoware_universe.git
VCS Type git
VCS Version main
Last Updated 2025-08-16
Dev Status UNKNOWN
Released UNRELEASED
Tags planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

autoware_cuda_pointcloud_preprocessor

Additional Links

No additional links.

Maintainers

  • Kenzo Lobos-Tsunekawa
  • Amadeusz Szymko
  • Max Schmeller
  • David Wong
  • Manato Hirabayashi
  • Yihsiang Fang

Authors

  • Kenzo Lobos-Tsunekawa

autoware_cuda_pointcloud_preprocessor

Purpose

The pointcloud preprocessing implemented in autoware_pointcloud_preprocessor has been thoroughly tested in autoware. However, the latency it introduces does not scale well with modern LiDAR devices due to the high number of points they introduce.

To alleviate this issue, this package reimplements most of the pipeline presented in autoware_pointcloud_preprocessor leveraging the use of GPGPUs. In particular, this package makes use of CUDA to provide accelerated versions of the already established implementations, while also maintaining compatibility with normal ROS nodes/topics. <!– cSpell: ignore GPGPUs >

Inner-workings / Algorithms

A detailed description of each filter’s algorithm is available in the following links.

Filter Name Description Detail
cuda_pointcloud_preprocessor Implements the cropping, distortion correction, and outlier filtering (ring-based) of the autoware_pointcloud_preprocessor’s CPU versions. link
cuda_concatenate_and_time_sync_node Implements pointcloud concatenation an synchronization following autoware_pointcloud_preprocessor’s CPU implementation. link
cuda_voxel_grid_downsample_filter Implements voxel downsample filtering of the autoware_pointcloud_preprocessor’s CPU version link

(Optional) Future extensions / Unimplemented parts

The subsample filters implemented in autoware_pointcloud_preprocessor will have similar counterparts in this package.

CHANGELOG

Changelog for package autoware_cuda_pointcloud_preprocessor

0.47.0 (2025-08-11)

  • style(pre-commit): update to clang-format-20 (#11088) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

  • fix(autoware cuda pointcloud preprocessor): trim IMU/twist queues correctly (#11055) fix(autoware_cuda_pointcloud_preprocessor): keep IMU/twist messages up to the one before the first point's timestamp

  • perf(autoware_cuda_pointcloud_preprocessor): execute thrust operations on the node's own CUDA stream (#10998)

    • perf(autoware_cuda_pointcloud_preprocessor): replace default thrust calls with ones with explicit cuda stream

    * chore: remove non-functional mempool allocator ---------

  • chore(autoware_cuda_pointcloud_preprocessor): add code owners (#11065)

  • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info (#10851)

    • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info
    • style(pre-commit): autofix
    • feat(autoware_cuda_pointcloud_preprocessor): handle concatenated pointcloud meta info
    • feat(autoware_pointcloud_preprocessor): serialized config of matching strategy
    • feat(autoware_pointcloud_preprocessor): update msg
    • feat(autoware_pointcloud_preprocessor): update msg (2)
    • docs(autoware_pointcloud_preprocessor): add cloud info topic description
    • feat(autoware_pointcloud_preprocessor): add unit tests for cloud info
    • fix(autoware_pointcloud_preprocessor): pre-commit
    • fix(autoware_pointcloud_preprocessor): remove *_struct headers inclusion
    • fix(autoware_pointcloud_preprocessor): check if the matching strategy cannot be enumerated
    • test(autoware_pointcloud_preprocessor): full cloud repr
    • feat(autoware_pointcloud_preprocessor): auto success set & more unit tests
    • feat(autoware_pointcloud_preprocessor): publish info regardless cloud content
    • style(autoware_pointcloud_preprocessor): typo
    • feat(autoware_pointcloud_preprocessor): make update_concatenated_point_cloud_config static for easier integration

    * docs(autoware_pointcloud_preprocessor): typo Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • fix(autoware_pointcloud_preprocessor): publish cloud info out of condition block
    • fix(autoware_pointcloud_preprocessor): container access with safe bound checking
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 1 - content)
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 2 - files name)
    • style(autoware_pointcloud_preprocessor): naming convention for main API
    • doc(autoware_pointcloud_preprocessor): add docstring

    * feat(autoware_pointcloud_preprocessor): add remap to launch files ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

  • fix(autoware_cuda_pointcloud_preprocessor): ensure type and API safety (#10987)

    • fix: return early on invalid pointcloud format
    • chore: add/remove (un)necessary initializer braces
    • chore: remove useless default destructor
    • fix: make layout check inline to comply with ODR
    • fix: check CUDA error for each API call
    • chore: fix most type-related clang-tidy warnings
    • chore: create point fields with less boilerplate
    • chore: change [num_]{.title-ref} fields back to [size_t]{.title-ref}
    • change [thrust::count]{.title-ref} result variables to [size_t]{.title-ref}

    * chore: static_assert that OutputPointType and InputPointType match Autoware point types ---------

  • Contributors: Amadeusz Szymko, David Wong, Max Schmeller, Mete Fatih

File truncated at 100 lines see the full file

Launch files

  • launch/cuda_concatenate_and_time_sync_node.launch.xml
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output [default: /sensing/lidar/concatenated/pointcloud]
      • output_info [default: /sensing/lidar/concatenated/pointcloud_info]
      • param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/concatenate_and_time_sync_node.param.yaml]
  • launch/cuda_pointcloud_preprocessor.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw_ex]
      • input/imu [default: /sensing/imu/imu_data]
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output/pointcloud [default: /sensing/lidar/top/test]
      • cuda_pointcloud_preprocessor_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_pointcloud_preprocessor.param.yaml]
  • launch/cuda_voxel_grid_downsample_filter.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw]
      • output/pointcloud [default: /sensing/lidar/top/downsampled]
      • debug [default: false]
      • cuda_voxel_gird_downsample_filter_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_voxel_grid_downsample_filter.param.yaml]

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

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Package symbol

autoware_cuda_pointcloud_preprocessor package from autoware_universe repo

autoware_agnocast_wrapper autoware_auto_common autoware_boundary_departure_checker autoware_component_interface_specs_universe autoware_component_interface_tools autoware_component_interface_utils autoware_cuda_dependency_meta autoware_fake_test_node autoware_glog_component autoware_goal_distance_calculator autoware_grid_map_utils autoware_path_distance_calculator autoware_polar_grid autoware_time_utils autoware_traffic_light_recognition_marker_publisher autoware_traffic_light_utils autoware_universe_utils tier4_api_utils autoware_autonomous_emergency_braking autoware_collision_detector autoware_control_command_gate autoware_control_performance_analysis autoware_control_validator autoware_external_cmd_selector autoware_joy_controller autoware_lane_departure_checker autoware_mpc_lateral_controller autoware_obstacle_collision_checker autoware_operation_mode_transition_manager autoware_pid_longitudinal_controller autoware_predicted_path_checker autoware_pure_pursuit autoware_shift_decider autoware_smart_mpc_trajectory_follower autoware_stop_mode_operator autoware_trajectory_follower_base autoware_trajectory_follower_node autoware_vehicle_cmd_gate autoware_control_evaluator autoware_kinematic_evaluator autoware_localization_evaluator autoware_perception_online_evaluator autoware_planning_evaluator autoware_scenario_simulator_v2_adapter autoware_diagnostic_graph_test_examples tier4_autoware_api_launch tier4_control_launch tier4_localization_launch tier4_map_launch tier4_perception_launch tier4_planning_launch tier4_sensing_launch tier4_simulator_launch tier4_system_launch tier4_vehicle_launch autoware_geo_pose_projector autoware_ar_tag_based_localizer autoware_landmark_manager autoware_lidar_marker_localizer autoware_localization_error_monitor autoware_pose2twist autoware_pose_covariance_modifier autoware_pose_estimator_arbiter autoware_pose_instability_detector yabloc_common yabloc_image_processing yabloc_monitor yabloc_particle_filter yabloc_pose_initializer autoware_map_tf_generator autoware_bevfusion autoware_bytetrack autoware_cluster_merger autoware_compare_map_segmentation autoware_crosswalk_traffic_light_estimator autoware_detected_object_feature_remover autoware_detected_object_validation autoware_detection_by_tracker autoware_elevation_map_loader autoware_euclidean_cluster autoware_ground_segmentation autoware_image_projection_based_fusion autoware_lidar_apollo_instance_segmentation autoware_lidar_centerpoint autoware_lidar_transfusion autoware_map_based_prediction autoware_multi_object_tracker autoware_object_merger autoware_object_range_splitter autoware_object_sorter autoware_object_velocity_splitter autoware_occupancy_grid_map_outlier_filter autoware_probabilistic_occupancy_grid_map autoware_radar_fusion_to_detected_object autoware_radar_object_tracker autoware_radar_tracks_msgs_converter autoware_raindrop_cluster_filter autoware_shape_estimation autoware_simpl_prediction autoware_simple_object_merger autoware_tensorrt_bevdet autoware_tensorrt_classifier autoware_tensorrt_common autoware_tensorrt_plugins autoware_tensorrt_yolox autoware_tracking_object_merger autoware_traffic_light_arbiter autoware_traffic_light_category_merger autoware_traffic_light_classifier autoware_traffic_light_fine_detector autoware_traffic_light_map_based_detector autoware_traffic_light_multi_camera_fusion autoware_traffic_light_occlusion_predictor autoware_traffic_light_selector autoware_traffic_light_visualization perception_utils autoware_costmap_generator autoware_diffusion_planner autoware_external_velocity_limit_selector autoware_freespace_planner autoware_freespace_planning_algorithms autoware_hazard_lights_selector autoware_mission_planner_universe autoware_path_optimizer autoware_path_smoother autoware_remaining_distance_time_calculator autoware_rtc_interface autoware_scenario_selector autoware_surround_obstacle_checker autoware_behavior_path_avoidance_by_lane_change_module autoware_behavior_path_bidirectional_traffic_module autoware_behavior_path_dynamic_obstacle_avoidance_module autoware_behavior_path_external_request_lane_change_module autoware_behavior_path_goal_planner_module autoware_behavior_path_lane_change_module autoware_behavior_path_planner autoware_behavior_path_planner_common autoware_behavior_path_sampling_planner_module autoware_behavior_path_side_shift_module autoware_behavior_path_start_planner_module autoware_behavior_path_static_obstacle_avoidance_module autoware_behavior_velocity_blind_spot_module autoware_behavior_velocity_crosswalk_module autoware_behavior_velocity_detection_area_module autoware_behavior_velocity_intersection_module autoware_behavior_velocity_no_drivable_lane_module autoware_behavior_velocity_no_stopping_area_module autoware_behavior_velocity_occlusion_spot_module autoware_behavior_velocity_rtc_interface autoware_behavior_velocity_run_out_module autoware_behavior_velocity_speed_bump_module autoware_behavior_velocity_template_module autoware_behavior_velocity_traffic_light_module autoware_behavior_velocity_virtual_traffic_light_module autoware_behavior_velocity_walkway_module autoware_motion_velocity_boundary_departure_prevention_module autoware_motion_velocity_dynamic_obstacle_stop_module autoware_motion_velocity_obstacle_cruise_module autoware_motion_velocity_obstacle_slow_down_module autoware_motion_velocity_obstacle_velocity_limiter_module autoware_motion_velocity_out_of_lane_module autoware_motion_velocity_road_user_stop_module autoware_motion_velocity_run_out_module autoware_planning_validator autoware_planning_validator_intersection_collision_checker autoware_planning_validator_latency_checker autoware_planning_validator_rear_collision_checker autoware_planning_validator_test_utils autoware_planning_validator_trajectory_checker autoware_bezier_sampler autoware_frenet_planner autoware_path_sampler autoware_sampler_common autoware_cuda_pointcloud_preprocessor autoware_cuda_utils autoware_image_diagnostics autoware_image_transport_decompressor autoware_imu_corrector autoware_pcl_extensions autoware_pointcloud_preprocessor autoware_radar_objects_adapter autoware_radar_scan_to_pointcloud2 autoware_radar_static_pointcloud_filter autoware_radar_threshold_filter autoware_radar_tracks_noise_filter autoware_livox_tag_filter autoware_carla_interface autoware_dummy_perception_publisher autoware_fault_injection autoware_learning_based_vehicle_model autoware_simple_planning_simulator autoware_vehicle_door_simulator tier4_dummy_object_rviz_plugin autoware_bluetooth_monitor autoware_command_mode_decider autoware_command_mode_decider_plugins autoware_command_mode_switcher autoware_command_mode_switcher_plugins autoware_command_mode_types autoware_component_monitor autoware_component_state_monitor autoware_adapi_visualizers autoware_automatic_pose_initializer autoware_default_adapi_universe autoware_diagnostic_graph_aggregator autoware_diagnostic_graph_utils autoware_dummy_diag_publisher autoware_dummy_infrastructure autoware_duplicated_node_checker autoware_hazard_status_converter autoware_mrm_comfortable_stop_operator autoware_mrm_emergency_stop_operator autoware_mrm_handler autoware_pipeline_latency_monitor autoware_processing_time_checker autoware_system_monitor autoware_topic_relay_controller autoware_topic_state_monitor autoware_velodyne_monitor reaction_analyzer autoware_accel_brake_map_calibrator autoware_external_cmd_converter autoware_raw_vehicle_cmd_converter autoware_steer_offset_estimator autoware_bag_time_manager_rviz_plugin autoware_traffic_light_rviz_plugin tier4_adapi_rviz_plugin tier4_camera_view_rviz_plugin tier4_control_mode_rviz_plugin tier4_datetime_rviz_plugin tier4_perception_rviz_plugin tier4_planning_factor_rviz_plugin tier4_state_rviz_plugin tier4_system_rviz_plugin tier4_traffic_light_rviz_plugin tier4_vehicle_rviz_plugin

ROS Distro
github

Package Summary

Tags No category tags.
Version 0.47.0
License Apache License 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description
Checkout URI https://github.com/autowarefoundation/autoware_universe.git
VCS Type git
VCS Version main
Last Updated 2025-08-16
Dev Status UNKNOWN
Released UNRELEASED
Tags planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

autoware_cuda_pointcloud_preprocessor

Additional Links

No additional links.

Maintainers

  • Kenzo Lobos-Tsunekawa
  • Amadeusz Szymko
  • Max Schmeller
  • David Wong
  • Manato Hirabayashi
  • Yihsiang Fang

Authors

  • Kenzo Lobos-Tsunekawa

autoware_cuda_pointcloud_preprocessor

Purpose

The pointcloud preprocessing implemented in autoware_pointcloud_preprocessor has been thoroughly tested in autoware. However, the latency it introduces does not scale well with modern LiDAR devices due to the high number of points they introduce.

To alleviate this issue, this package reimplements most of the pipeline presented in autoware_pointcloud_preprocessor leveraging the use of GPGPUs. In particular, this package makes use of CUDA to provide accelerated versions of the already established implementations, while also maintaining compatibility with normal ROS nodes/topics. <!– cSpell: ignore GPGPUs >

Inner-workings / Algorithms

A detailed description of each filter’s algorithm is available in the following links.

Filter Name Description Detail
cuda_pointcloud_preprocessor Implements the cropping, distortion correction, and outlier filtering (ring-based) of the autoware_pointcloud_preprocessor’s CPU versions. link
cuda_concatenate_and_time_sync_node Implements pointcloud concatenation an synchronization following autoware_pointcloud_preprocessor’s CPU implementation. link
cuda_voxel_grid_downsample_filter Implements voxel downsample filtering of the autoware_pointcloud_preprocessor’s CPU version link

(Optional) Future extensions / Unimplemented parts

The subsample filters implemented in autoware_pointcloud_preprocessor will have similar counterparts in this package.

CHANGELOG

Changelog for package autoware_cuda_pointcloud_preprocessor

0.47.0 (2025-08-11)

  • style(pre-commit): update to clang-format-20 (#11088) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

  • fix(autoware cuda pointcloud preprocessor): trim IMU/twist queues correctly (#11055) fix(autoware_cuda_pointcloud_preprocessor): keep IMU/twist messages up to the one before the first point's timestamp

  • perf(autoware_cuda_pointcloud_preprocessor): execute thrust operations on the node's own CUDA stream (#10998)

    • perf(autoware_cuda_pointcloud_preprocessor): replace default thrust calls with ones with explicit cuda stream

    * chore: remove non-functional mempool allocator ---------

  • chore(autoware_cuda_pointcloud_preprocessor): add code owners (#11065)

  • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info (#10851)

    • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info
    • style(pre-commit): autofix
    • feat(autoware_cuda_pointcloud_preprocessor): handle concatenated pointcloud meta info
    • feat(autoware_pointcloud_preprocessor): serialized config of matching strategy
    • feat(autoware_pointcloud_preprocessor): update msg
    • feat(autoware_pointcloud_preprocessor): update msg (2)
    • docs(autoware_pointcloud_preprocessor): add cloud info topic description
    • feat(autoware_pointcloud_preprocessor): add unit tests for cloud info
    • fix(autoware_pointcloud_preprocessor): pre-commit
    • fix(autoware_pointcloud_preprocessor): remove *_struct headers inclusion
    • fix(autoware_pointcloud_preprocessor): check if the matching strategy cannot be enumerated
    • test(autoware_pointcloud_preprocessor): full cloud repr
    • feat(autoware_pointcloud_preprocessor): auto success set & more unit tests
    • feat(autoware_pointcloud_preprocessor): publish info regardless cloud content
    • style(autoware_pointcloud_preprocessor): typo
    • feat(autoware_pointcloud_preprocessor): make update_concatenated_point_cloud_config static for easier integration

    * docs(autoware_pointcloud_preprocessor): typo Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • fix(autoware_pointcloud_preprocessor): publish cloud info out of condition block
    • fix(autoware_pointcloud_preprocessor): container access with safe bound checking
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 1 - content)
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 2 - files name)
    • style(autoware_pointcloud_preprocessor): naming convention for main API
    • doc(autoware_pointcloud_preprocessor): add docstring

    * feat(autoware_pointcloud_preprocessor): add remap to launch files ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

  • fix(autoware_cuda_pointcloud_preprocessor): ensure type and API safety (#10987)

    • fix: return early on invalid pointcloud format
    • chore: add/remove (un)necessary initializer braces
    • chore: remove useless default destructor
    • fix: make layout check inline to comply with ODR
    • fix: check CUDA error for each API call
    • chore: fix most type-related clang-tidy warnings
    • chore: create point fields with less boilerplate
    • chore: change [num_]{.title-ref} fields back to [size_t]{.title-ref}
    • change [thrust::count]{.title-ref} result variables to [size_t]{.title-ref}

    * chore: static_assert that OutputPointType and InputPointType match Autoware point types ---------

  • Contributors: Amadeusz Szymko, David Wong, Max Schmeller, Mete Fatih

File truncated at 100 lines see the full file

Launch files

  • launch/cuda_concatenate_and_time_sync_node.launch.xml
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output [default: /sensing/lidar/concatenated/pointcloud]
      • output_info [default: /sensing/lidar/concatenated/pointcloud_info]
      • param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/concatenate_and_time_sync_node.param.yaml]
  • launch/cuda_pointcloud_preprocessor.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw_ex]
      • input/imu [default: /sensing/imu/imu_data]
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output/pointcloud [default: /sensing/lidar/top/test]
      • cuda_pointcloud_preprocessor_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_pointcloud_preprocessor.param.yaml]
  • launch/cuda_voxel_grid_downsample_filter.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw]
      • output/pointcloud [default: /sensing/lidar/top/downsampled]
      • debug [default: false]
      • cuda_voxel_gird_downsample_filter_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_voxel_grid_downsample_filter.param.yaml]

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Recent questions tagged autoware_cuda_pointcloud_preprocessor at Robotics Stack Exchange

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autoware_cuda_pointcloud_preprocessor package from autoware_universe repo

autoware_agnocast_wrapper autoware_auto_common autoware_boundary_departure_checker autoware_component_interface_specs_universe autoware_component_interface_tools autoware_component_interface_utils autoware_cuda_dependency_meta autoware_fake_test_node autoware_glog_component autoware_goal_distance_calculator autoware_grid_map_utils autoware_path_distance_calculator autoware_polar_grid autoware_time_utils autoware_traffic_light_recognition_marker_publisher autoware_traffic_light_utils autoware_universe_utils tier4_api_utils autoware_autonomous_emergency_braking autoware_collision_detector autoware_control_command_gate autoware_control_performance_analysis autoware_control_validator autoware_external_cmd_selector autoware_joy_controller autoware_lane_departure_checker autoware_mpc_lateral_controller autoware_obstacle_collision_checker autoware_operation_mode_transition_manager autoware_pid_longitudinal_controller autoware_predicted_path_checker autoware_pure_pursuit autoware_shift_decider autoware_smart_mpc_trajectory_follower autoware_stop_mode_operator autoware_trajectory_follower_base autoware_trajectory_follower_node autoware_vehicle_cmd_gate autoware_control_evaluator autoware_kinematic_evaluator autoware_localization_evaluator autoware_perception_online_evaluator autoware_planning_evaluator autoware_scenario_simulator_v2_adapter autoware_diagnostic_graph_test_examples tier4_autoware_api_launch tier4_control_launch tier4_localization_launch tier4_map_launch tier4_perception_launch tier4_planning_launch tier4_sensing_launch tier4_simulator_launch tier4_system_launch tier4_vehicle_launch autoware_geo_pose_projector autoware_ar_tag_based_localizer autoware_landmark_manager autoware_lidar_marker_localizer autoware_localization_error_monitor autoware_pose2twist autoware_pose_covariance_modifier autoware_pose_estimator_arbiter autoware_pose_instability_detector yabloc_common yabloc_image_processing yabloc_monitor yabloc_particle_filter yabloc_pose_initializer autoware_map_tf_generator autoware_bevfusion autoware_bytetrack autoware_cluster_merger autoware_compare_map_segmentation autoware_crosswalk_traffic_light_estimator autoware_detected_object_feature_remover autoware_detected_object_validation autoware_detection_by_tracker autoware_elevation_map_loader autoware_euclidean_cluster autoware_ground_segmentation autoware_image_projection_based_fusion autoware_lidar_apollo_instance_segmentation autoware_lidar_centerpoint autoware_lidar_transfusion autoware_map_based_prediction autoware_multi_object_tracker autoware_object_merger autoware_object_range_splitter autoware_object_sorter autoware_object_velocity_splitter autoware_occupancy_grid_map_outlier_filter autoware_probabilistic_occupancy_grid_map autoware_radar_fusion_to_detected_object autoware_radar_object_tracker autoware_radar_tracks_msgs_converter autoware_raindrop_cluster_filter autoware_shape_estimation autoware_simpl_prediction autoware_simple_object_merger autoware_tensorrt_bevdet autoware_tensorrt_classifier autoware_tensorrt_common autoware_tensorrt_plugins autoware_tensorrt_yolox autoware_tracking_object_merger autoware_traffic_light_arbiter autoware_traffic_light_category_merger autoware_traffic_light_classifier autoware_traffic_light_fine_detector autoware_traffic_light_map_based_detector autoware_traffic_light_multi_camera_fusion autoware_traffic_light_occlusion_predictor autoware_traffic_light_selector autoware_traffic_light_visualization perception_utils autoware_costmap_generator autoware_diffusion_planner autoware_external_velocity_limit_selector autoware_freespace_planner autoware_freespace_planning_algorithms autoware_hazard_lights_selector autoware_mission_planner_universe autoware_path_optimizer autoware_path_smoother autoware_remaining_distance_time_calculator autoware_rtc_interface autoware_scenario_selector autoware_surround_obstacle_checker autoware_behavior_path_avoidance_by_lane_change_module autoware_behavior_path_bidirectional_traffic_module autoware_behavior_path_dynamic_obstacle_avoidance_module autoware_behavior_path_external_request_lane_change_module autoware_behavior_path_goal_planner_module autoware_behavior_path_lane_change_module autoware_behavior_path_planner autoware_behavior_path_planner_common autoware_behavior_path_sampling_planner_module autoware_behavior_path_side_shift_module autoware_behavior_path_start_planner_module autoware_behavior_path_static_obstacle_avoidance_module autoware_behavior_velocity_blind_spot_module autoware_behavior_velocity_crosswalk_module autoware_behavior_velocity_detection_area_module autoware_behavior_velocity_intersection_module autoware_behavior_velocity_no_drivable_lane_module autoware_behavior_velocity_no_stopping_area_module autoware_behavior_velocity_occlusion_spot_module autoware_behavior_velocity_rtc_interface autoware_behavior_velocity_run_out_module autoware_behavior_velocity_speed_bump_module autoware_behavior_velocity_template_module autoware_behavior_velocity_traffic_light_module autoware_behavior_velocity_virtual_traffic_light_module autoware_behavior_velocity_walkway_module autoware_motion_velocity_boundary_departure_prevention_module autoware_motion_velocity_dynamic_obstacle_stop_module autoware_motion_velocity_obstacle_cruise_module autoware_motion_velocity_obstacle_slow_down_module autoware_motion_velocity_obstacle_velocity_limiter_module autoware_motion_velocity_out_of_lane_module autoware_motion_velocity_road_user_stop_module autoware_motion_velocity_run_out_module autoware_planning_validator autoware_planning_validator_intersection_collision_checker autoware_planning_validator_latency_checker autoware_planning_validator_rear_collision_checker autoware_planning_validator_test_utils autoware_planning_validator_trajectory_checker autoware_bezier_sampler autoware_frenet_planner autoware_path_sampler autoware_sampler_common autoware_cuda_pointcloud_preprocessor autoware_cuda_utils autoware_image_diagnostics autoware_image_transport_decompressor autoware_imu_corrector autoware_pcl_extensions autoware_pointcloud_preprocessor autoware_radar_objects_adapter autoware_radar_scan_to_pointcloud2 autoware_radar_static_pointcloud_filter autoware_radar_threshold_filter autoware_radar_tracks_noise_filter autoware_livox_tag_filter autoware_carla_interface autoware_dummy_perception_publisher autoware_fault_injection autoware_learning_based_vehicle_model autoware_simple_planning_simulator autoware_vehicle_door_simulator tier4_dummy_object_rviz_plugin autoware_bluetooth_monitor autoware_command_mode_decider autoware_command_mode_decider_plugins autoware_command_mode_switcher autoware_command_mode_switcher_plugins autoware_command_mode_types autoware_component_monitor autoware_component_state_monitor autoware_adapi_visualizers autoware_automatic_pose_initializer autoware_default_adapi_universe autoware_diagnostic_graph_aggregator autoware_diagnostic_graph_utils autoware_dummy_diag_publisher autoware_dummy_infrastructure autoware_duplicated_node_checker autoware_hazard_status_converter autoware_mrm_comfortable_stop_operator autoware_mrm_emergency_stop_operator autoware_mrm_handler autoware_pipeline_latency_monitor autoware_processing_time_checker autoware_system_monitor autoware_topic_relay_controller autoware_topic_state_monitor autoware_velodyne_monitor reaction_analyzer autoware_accel_brake_map_calibrator autoware_external_cmd_converter autoware_raw_vehicle_cmd_converter autoware_steer_offset_estimator autoware_bag_time_manager_rviz_plugin autoware_traffic_light_rviz_plugin tier4_adapi_rviz_plugin tier4_camera_view_rviz_plugin tier4_control_mode_rviz_plugin tier4_datetime_rviz_plugin tier4_perception_rviz_plugin tier4_planning_factor_rviz_plugin tier4_state_rviz_plugin tier4_system_rviz_plugin tier4_traffic_light_rviz_plugin tier4_vehicle_rviz_plugin

ROS Distro
github

Package Summary

Tags No category tags.
Version 0.47.0
License Apache License 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description
Checkout URI https://github.com/autowarefoundation/autoware_universe.git
VCS Type git
VCS Version main
Last Updated 2025-08-16
Dev Status UNKNOWN
Released UNRELEASED
Tags planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

autoware_cuda_pointcloud_preprocessor

Additional Links

No additional links.

Maintainers

  • Kenzo Lobos-Tsunekawa
  • Amadeusz Szymko
  • Max Schmeller
  • David Wong
  • Manato Hirabayashi
  • Yihsiang Fang

Authors

  • Kenzo Lobos-Tsunekawa

autoware_cuda_pointcloud_preprocessor

Purpose

The pointcloud preprocessing implemented in autoware_pointcloud_preprocessor has been thoroughly tested in autoware. However, the latency it introduces does not scale well with modern LiDAR devices due to the high number of points they introduce.

To alleviate this issue, this package reimplements most of the pipeline presented in autoware_pointcloud_preprocessor leveraging the use of GPGPUs. In particular, this package makes use of CUDA to provide accelerated versions of the already established implementations, while also maintaining compatibility with normal ROS nodes/topics. <!– cSpell: ignore GPGPUs >

Inner-workings / Algorithms

A detailed description of each filter’s algorithm is available in the following links.

Filter Name Description Detail
cuda_pointcloud_preprocessor Implements the cropping, distortion correction, and outlier filtering (ring-based) of the autoware_pointcloud_preprocessor’s CPU versions. link
cuda_concatenate_and_time_sync_node Implements pointcloud concatenation an synchronization following autoware_pointcloud_preprocessor’s CPU implementation. link
cuda_voxel_grid_downsample_filter Implements voxel downsample filtering of the autoware_pointcloud_preprocessor’s CPU version link

(Optional) Future extensions / Unimplemented parts

The subsample filters implemented in autoware_pointcloud_preprocessor will have similar counterparts in this package.

CHANGELOG

Changelog for package autoware_cuda_pointcloud_preprocessor

0.47.0 (2025-08-11)

  • style(pre-commit): update to clang-format-20 (#11088) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

  • fix(autoware cuda pointcloud preprocessor): trim IMU/twist queues correctly (#11055) fix(autoware_cuda_pointcloud_preprocessor): keep IMU/twist messages up to the one before the first point's timestamp

  • perf(autoware_cuda_pointcloud_preprocessor): execute thrust operations on the node's own CUDA stream (#10998)

    • perf(autoware_cuda_pointcloud_preprocessor): replace default thrust calls with ones with explicit cuda stream

    * chore: remove non-functional mempool allocator ---------

  • chore(autoware_cuda_pointcloud_preprocessor): add code owners (#11065)

  • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info (#10851)

    • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info
    • style(pre-commit): autofix
    • feat(autoware_cuda_pointcloud_preprocessor): handle concatenated pointcloud meta info
    • feat(autoware_pointcloud_preprocessor): serialized config of matching strategy
    • feat(autoware_pointcloud_preprocessor): update msg
    • feat(autoware_pointcloud_preprocessor): update msg (2)
    • docs(autoware_pointcloud_preprocessor): add cloud info topic description
    • feat(autoware_pointcloud_preprocessor): add unit tests for cloud info
    • fix(autoware_pointcloud_preprocessor): pre-commit
    • fix(autoware_pointcloud_preprocessor): remove *_struct headers inclusion
    • fix(autoware_pointcloud_preprocessor): check if the matching strategy cannot be enumerated
    • test(autoware_pointcloud_preprocessor): full cloud repr
    • feat(autoware_pointcloud_preprocessor): auto success set & more unit tests
    • feat(autoware_pointcloud_preprocessor): publish info regardless cloud content
    • style(autoware_pointcloud_preprocessor): typo
    • feat(autoware_pointcloud_preprocessor): make update_concatenated_point_cloud_config static for easier integration

    * docs(autoware_pointcloud_preprocessor): typo Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • fix(autoware_pointcloud_preprocessor): publish cloud info out of condition block
    • fix(autoware_pointcloud_preprocessor): container access with safe bound checking
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 1 - content)
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 2 - files name)
    • style(autoware_pointcloud_preprocessor): naming convention for main API
    • doc(autoware_pointcloud_preprocessor): add docstring

    * feat(autoware_pointcloud_preprocessor): add remap to launch files ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

  • fix(autoware_cuda_pointcloud_preprocessor): ensure type and API safety (#10987)

    • fix: return early on invalid pointcloud format
    • chore: add/remove (un)necessary initializer braces
    • chore: remove useless default destructor
    • fix: make layout check inline to comply with ODR
    • fix: check CUDA error for each API call
    • chore: fix most type-related clang-tidy warnings
    • chore: create point fields with less boilerplate
    • chore: change [num_]{.title-ref} fields back to [size_t]{.title-ref}
    • change [thrust::count]{.title-ref} result variables to [size_t]{.title-ref}

    * chore: static_assert that OutputPointType and InputPointType match Autoware point types ---------

  • Contributors: Amadeusz Szymko, David Wong, Max Schmeller, Mete Fatih

File truncated at 100 lines see the full file

Launch files

  • launch/cuda_concatenate_and_time_sync_node.launch.xml
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output [default: /sensing/lidar/concatenated/pointcloud]
      • output_info [default: /sensing/lidar/concatenated/pointcloud_info]
      • param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/concatenate_and_time_sync_node.param.yaml]
  • launch/cuda_pointcloud_preprocessor.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw_ex]
      • input/imu [default: /sensing/imu/imu_data]
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output/pointcloud [default: /sensing/lidar/top/test]
      • cuda_pointcloud_preprocessor_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_pointcloud_preprocessor.param.yaml]
  • launch/cuda_voxel_grid_downsample_filter.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw]
      • output/pointcloud [default: /sensing/lidar/top/downsampled]
      • debug [default: false]
      • cuda_voxel_gird_downsample_filter_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_voxel_grid_downsample_filter.param.yaml]

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Recent questions tagged autoware_cuda_pointcloud_preprocessor at Robotics Stack Exchange

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autoware_cuda_pointcloud_preprocessor package from autoware_universe repo

autoware_agnocast_wrapper autoware_auto_common autoware_boundary_departure_checker autoware_component_interface_specs_universe autoware_component_interface_tools autoware_component_interface_utils autoware_cuda_dependency_meta autoware_fake_test_node autoware_glog_component autoware_goal_distance_calculator autoware_grid_map_utils autoware_path_distance_calculator autoware_polar_grid autoware_time_utils autoware_traffic_light_recognition_marker_publisher autoware_traffic_light_utils autoware_universe_utils tier4_api_utils autoware_autonomous_emergency_braking autoware_collision_detector autoware_control_command_gate autoware_control_performance_analysis autoware_control_validator autoware_external_cmd_selector autoware_joy_controller autoware_lane_departure_checker autoware_mpc_lateral_controller autoware_obstacle_collision_checker autoware_operation_mode_transition_manager autoware_pid_longitudinal_controller autoware_predicted_path_checker autoware_pure_pursuit autoware_shift_decider autoware_smart_mpc_trajectory_follower autoware_stop_mode_operator autoware_trajectory_follower_base autoware_trajectory_follower_node autoware_vehicle_cmd_gate autoware_control_evaluator autoware_kinematic_evaluator autoware_localization_evaluator autoware_perception_online_evaluator autoware_planning_evaluator autoware_scenario_simulator_v2_adapter autoware_diagnostic_graph_test_examples tier4_autoware_api_launch tier4_control_launch tier4_localization_launch tier4_map_launch tier4_perception_launch tier4_planning_launch tier4_sensing_launch tier4_simulator_launch tier4_system_launch tier4_vehicle_launch autoware_geo_pose_projector autoware_ar_tag_based_localizer autoware_landmark_manager autoware_lidar_marker_localizer autoware_localization_error_monitor autoware_pose2twist autoware_pose_covariance_modifier autoware_pose_estimator_arbiter autoware_pose_instability_detector yabloc_common yabloc_image_processing yabloc_monitor yabloc_particle_filter yabloc_pose_initializer autoware_map_tf_generator autoware_bevfusion autoware_bytetrack autoware_cluster_merger autoware_compare_map_segmentation autoware_crosswalk_traffic_light_estimator autoware_detected_object_feature_remover autoware_detected_object_validation autoware_detection_by_tracker autoware_elevation_map_loader autoware_euclidean_cluster autoware_ground_segmentation autoware_image_projection_based_fusion autoware_lidar_apollo_instance_segmentation autoware_lidar_centerpoint autoware_lidar_transfusion autoware_map_based_prediction autoware_multi_object_tracker autoware_object_merger autoware_object_range_splitter autoware_object_sorter autoware_object_velocity_splitter autoware_occupancy_grid_map_outlier_filter autoware_probabilistic_occupancy_grid_map autoware_radar_fusion_to_detected_object autoware_radar_object_tracker autoware_radar_tracks_msgs_converter autoware_raindrop_cluster_filter autoware_shape_estimation autoware_simpl_prediction autoware_simple_object_merger autoware_tensorrt_bevdet autoware_tensorrt_classifier autoware_tensorrt_common autoware_tensorrt_plugins autoware_tensorrt_yolox autoware_tracking_object_merger autoware_traffic_light_arbiter autoware_traffic_light_category_merger autoware_traffic_light_classifier autoware_traffic_light_fine_detector autoware_traffic_light_map_based_detector autoware_traffic_light_multi_camera_fusion autoware_traffic_light_occlusion_predictor autoware_traffic_light_selector autoware_traffic_light_visualization perception_utils autoware_costmap_generator autoware_diffusion_planner autoware_external_velocity_limit_selector autoware_freespace_planner autoware_freespace_planning_algorithms autoware_hazard_lights_selector autoware_mission_planner_universe autoware_path_optimizer autoware_path_smoother autoware_remaining_distance_time_calculator autoware_rtc_interface autoware_scenario_selector autoware_surround_obstacle_checker autoware_behavior_path_avoidance_by_lane_change_module autoware_behavior_path_bidirectional_traffic_module autoware_behavior_path_dynamic_obstacle_avoidance_module autoware_behavior_path_external_request_lane_change_module autoware_behavior_path_goal_planner_module autoware_behavior_path_lane_change_module autoware_behavior_path_planner autoware_behavior_path_planner_common autoware_behavior_path_sampling_planner_module autoware_behavior_path_side_shift_module autoware_behavior_path_start_planner_module autoware_behavior_path_static_obstacle_avoidance_module autoware_behavior_velocity_blind_spot_module autoware_behavior_velocity_crosswalk_module autoware_behavior_velocity_detection_area_module autoware_behavior_velocity_intersection_module autoware_behavior_velocity_no_drivable_lane_module autoware_behavior_velocity_no_stopping_area_module autoware_behavior_velocity_occlusion_spot_module autoware_behavior_velocity_rtc_interface autoware_behavior_velocity_run_out_module autoware_behavior_velocity_speed_bump_module autoware_behavior_velocity_template_module autoware_behavior_velocity_traffic_light_module autoware_behavior_velocity_virtual_traffic_light_module autoware_behavior_velocity_walkway_module autoware_motion_velocity_boundary_departure_prevention_module autoware_motion_velocity_dynamic_obstacle_stop_module autoware_motion_velocity_obstacle_cruise_module autoware_motion_velocity_obstacle_slow_down_module autoware_motion_velocity_obstacle_velocity_limiter_module autoware_motion_velocity_out_of_lane_module autoware_motion_velocity_road_user_stop_module autoware_motion_velocity_run_out_module autoware_planning_validator autoware_planning_validator_intersection_collision_checker autoware_planning_validator_latency_checker autoware_planning_validator_rear_collision_checker autoware_planning_validator_test_utils autoware_planning_validator_trajectory_checker autoware_bezier_sampler autoware_frenet_planner autoware_path_sampler autoware_sampler_common autoware_cuda_pointcloud_preprocessor autoware_cuda_utils autoware_image_diagnostics autoware_image_transport_decompressor autoware_imu_corrector autoware_pcl_extensions autoware_pointcloud_preprocessor autoware_radar_objects_adapter autoware_radar_scan_to_pointcloud2 autoware_radar_static_pointcloud_filter autoware_radar_threshold_filter autoware_radar_tracks_noise_filter autoware_livox_tag_filter autoware_carla_interface autoware_dummy_perception_publisher autoware_fault_injection autoware_learning_based_vehicle_model autoware_simple_planning_simulator autoware_vehicle_door_simulator tier4_dummy_object_rviz_plugin autoware_bluetooth_monitor autoware_command_mode_decider autoware_command_mode_decider_plugins autoware_command_mode_switcher autoware_command_mode_switcher_plugins autoware_command_mode_types autoware_component_monitor autoware_component_state_monitor autoware_adapi_visualizers autoware_automatic_pose_initializer autoware_default_adapi_universe autoware_diagnostic_graph_aggregator autoware_diagnostic_graph_utils autoware_dummy_diag_publisher autoware_dummy_infrastructure autoware_duplicated_node_checker autoware_hazard_status_converter autoware_mrm_comfortable_stop_operator autoware_mrm_emergency_stop_operator autoware_mrm_handler autoware_pipeline_latency_monitor autoware_processing_time_checker autoware_system_monitor autoware_topic_relay_controller autoware_topic_state_monitor autoware_velodyne_monitor reaction_analyzer autoware_accel_brake_map_calibrator autoware_external_cmd_converter autoware_raw_vehicle_cmd_converter autoware_steer_offset_estimator autoware_bag_time_manager_rviz_plugin autoware_traffic_light_rviz_plugin tier4_adapi_rviz_plugin tier4_camera_view_rviz_plugin tier4_control_mode_rviz_plugin tier4_datetime_rviz_plugin tier4_perception_rviz_plugin tier4_planning_factor_rviz_plugin tier4_state_rviz_plugin tier4_system_rviz_plugin tier4_traffic_light_rviz_plugin tier4_vehicle_rviz_plugin

ROS Distro
github

Package Summary

Tags No category tags.
Version 0.47.0
License Apache License 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description
Checkout URI https://github.com/autowarefoundation/autoware_universe.git
VCS Type git
VCS Version main
Last Updated 2025-08-16
Dev Status UNKNOWN
Released UNRELEASED
Tags planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

autoware_cuda_pointcloud_preprocessor

Additional Links

No additional links.

Maintainers

  • Kenzo Lobos-Tsunekawa
  • Amadeusz Szymko
  • Max Schmeller
  • David Wong
  • Manato Hirabayashi
  • Yihsiang Fang

Authors

  • Kenzo Lobos-Tsunekawa

autoware_cuda_pointcloud_preprocessor

Purpose

The pointcloud preprocessing implemented in autoware_pointcloud_preprocessor has been thoroughly tested in autoware. However, the latency it introduces does not scale well with modern LiDAR devices due to the high number of points they introduce.

To alleviate this issue, this package reimplements most of the pipeline presented in autoware_pointcloud_preprocessor leveraging the use of GPGPUs. In particular, this package makes use of CUDA to provide accelerated versions of the already established implementations, while also maintaining compatibility with normal ROS nodes/topics. <!– cSpell: ignore GPGPUs >

Inner-workings / Algorithms

A detailed description of each filter’s algorithm is available in the following links.

Filter Name Description Detail
cuda_pointcloud_preprocessor Implements the cropping, distortion correction, and outlier filtering (ring-based) of the autoware_pointcloud_preprocessor’s CPU versions. link
cuda_concatenate_and_time_sync_node Implements pointcloud concatenation an synchronization following autoware_pointcloud_preprocessor’s CPU implementation. link
cuda_voxel_grid_downsample_filter Implements voxel downsample filtering of the autoware_pointcloud_preprocessor’s CPU version link

(Optional) Future extensions / Unimplemented parts

The subsample filters implemented in autoware_pointcloud_preprocessor will have similar counterparts in this package.

CHANGELOG

Changelog for package autoware_cuda_pointcloud_preprocessor

0.47.0 (2025-08-11)

  • style(pre-commit): update to clang-format-20 (#11088) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

  • fix(autoware cuda pointcloud preprocessor): trim IMU/twist queues correctly (#11055) fix(autoware_cuda_pointcloud_preprocessor): keep IMU/twist messages up to the one before the first point's timestamp

  • perf(autoware_cuda_pointcloud_preprocessor): execute thrust operations on the node's own CUDA stream (#10998)

    • perf(autoware_cuda_pointcloud_preprocessor): replace default thrust calls with ones with explicit cuda stream

    * chore: remove non-functional mempool allocator ---------

  • chore(autoware_cuda_pointcloud_preprocessor): add code owners (#11065)

  • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info (#10851)

    • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info
    • style(pre-commit): autofix
    • feat(autoware_cuda_pointcloud_preprocessor): handle concatenated pointcloud meta info
    • feat(autoware_pointcloud_preprocessor): serialized config of matching strategy
    • feat(autoware_pointcloud_preprocessor): update msg
    • feat(autoware_pointcloud_preprocessor): update msg (2)
    • docs(autoware_pointcloud_preprocessor): add cloud info topic description
    • feat(autoware_pointcloud_preprocessor): add unit tests for cloud info
    • fix(autoware_pointcloud_preprocessor): pre-commit
    • fix(autoware_pointcloud_preprocessor): remove *_struct headers inclusion
    • fix(autoware_pointcloud_preprocessor): check if the matching strategy cannot be enumerated
    • test(autoware_pointcloud_preprocessor): full cloud repr
    • feat(autoware_pointcloud_preprocessor): auto success set & more unit tests
    • feat(autoware_pointcloud_preprocessor): publish info regardless cloud content
    • style(autoware_pointcloud_preprocessor): typo
    • feat(autoware_pointcloud_preprocessor): make update_concatenated_point_cloud_config static for easier integration

    * docs(autoware_pointcloud_preprocessor): typo Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • fix(autoware_pointcloud_preprocessor): publish cloud info out of condition block
    • fix(autoware_pointcloud_preprocessor): container access with safe bound checking
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 1 - content)
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 2 - files name)
    • style(autoware_pointcloud_preprocessor): naming convention for main API
    • doc(autoware_pointcloud_preprocessor): add docstring

    * feat(autoware_pointcloud_preprocessor): add remap to launch files ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

  • fix(autoware_cuda_pointcloud_preprocessor): ensure type and API safety (#10987)

    • fix: return early on invalid pointcloud format
    • chore: add/remove (un)necessary initializer braces
    • chore: remove useless default destructor
    • fix: make layout check inline to comply with ODR
    • fix: check CUDA error for each API call
    • chore: fix most type-related clang-tidy warnings
    • chore: create point fields with less boilerplate
    • chore: change [num_]{.title-ref} fields back to [size_t]{.title-ref}
    • change [thrust::count]{.title-ref} result variables to [size_t]{.title-ref}

    * chore: static_assert that OutputPointType and InputPointType match Autoware point types ---------

  • Contributors: Amadeusz Szymko, David Wong, Max Schmeller, Mete Fatih

File truncated at 100 lines see the full file

Launch files

  • launch/cuda_concatenate_and_time_sync_node.launch.xml
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output [default: /sensing/lidar/concatenated/pointcloud]
      • output_info [default: /sensing/lidar/concatenated/pointcloud_info]
      • param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/concatenate_and_time_sync_node.param.yaml]
  • launch/cuda_pointcloud_preprocessor.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw_ex]
      • input/imu [default: /sensing/imu/imu_data]
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output/pointcloud [default: /sensing/lidar/top/test]
      • cuda_pointcloud_preprocessor_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_pointcloud_preprocessor.param.yaml]
  • launch/cuda_voxel_grid_downsample_filter.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw]
      • output/pointcloud [default: /sensing/lidar/top/downsampled]
      • debug [default: false]
      • cuda_voxel_gird_downsample_filter_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_voxel_grid_downsample_filter.param.yaml]

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged autoware_cuda_pointcloud_preprocessor at Robotics Stack Exchange

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autoware_cuda_pointcloud_preprocessor package from autoware_universe repo

autoware_agnocast_wrapper autoware_auto_common autoware_boundary_departure_checker autoware_component_interface_specs_universe autoware_component_interface_tools autoware_component_interface_utils autoware_cuda_dependency_meta autoware_fake_test_node autoware_glog_component autoware_goal_distance_calculator autoware_grid_map_utils autoware_path_distance_calculator autoware_polar_grid autoware_time_utils autoware_traffic_light_recognition_marker_publisher autoware_traffic_light_utils autoware_universe_utils tier4_api_utils autoware_autonomous_emergency_braking autoware_collision_detector autoware_control_command_gate autoware_control_performance_analysis autoware_control_validator autoware_external_cmd_selector autoware_joy_controller autoware_lane_departure_checker autoware_mpc_lateral_controller autoware_obstacle_collision_checker autoware_operation_mode_transition_manager autoware_pid_longitudinal_controller autoware_predicted_path_checker autoware_pure_pursuit autoware_shift_decider autoware_smart_mpc_trajectory_follower autoware_stop_mode_operator autoware_trajectory_follower_base autoware_trajectory_follower_node autoware_vehicle_cmd_gate autoware_control_evaluator autoware_kinematic_evaluator autoware_localization_evaluator autoware_perception_online_evaluator autoware_planning_evaluator autoware_scenario_simulator_v2_adapter autoware_diagnostic_graph_test_examples tier4_autoware_api_launch tier4_control_launch tier4_localization_launch tier4_map_launch tier4_perception_launch tier4_planning_launch tier4_sensing_launch tier4_simulator_launch tier4_system_launch tier4_vehicle_launch autoware_geo_pose_projector autoware_ar_tag_based_localizer autoware_landmark_manager autoware_lidar_marker_localizer autoware_localization_error_monitor autoware_pose2twist autoware_pose_covariance_modifier autoware_pose_estimator_arbiter autoware_pose_instability_detector yabloc_common yabloc_image_processing yabloc_monitor yabloc_particle_filter yabloc_pose_initializer autoware_map_tf_generator autoware_bevfusion autoware_bytetrack autoware_cluster_merger autoware_compare_map_segmentation autoware_crosswalk_traffic_light_estimator autoware_detected_object_feature_remover autoware_detected_object_validation autoware_detection_by_tracker autoware_elevation_map_loader autoware_euclidean_cluster autoware_ground_segmentation autoware_image_projection_based_fusion autoware_lidar_apollo_instance_segmentation autoware_lidar_centerpoint autoware_lidar_transfusion autoware_map_based_prediction autoware_multi_object_tracker autoware_object_merger autoware_object_range_splitter autoware_object_sorter autoware_object_velocity_splitter autoware_occupancy_grid_map_outlier_filter autoware_probabilistic_occupancy_grid_map autoware_radar_fusion_to_detected_object autoware_radar_object_tracker autoware_radar_tracks_msgs_converter autoware_raindrop_cluster_filter autoware_shape_estimation autoware_simpl_prediction autoware_simple_object_merger autoware_tensorrt_bevdet autoware_tensorrt_classifier autoware_tensorrt_common autoware_tensorrt_plugins autoware_tensorrt_yolox autoware_tracking_object_merger autoware_traffic_light_arbiter autoware_traffic_light_category_merger autoware_traffic_light_classifier autoware_traffic_light_fine_detector autoware_traffic_light_map_based_detector autoware_traffic_light_multi_camera_fusion autoware_traffic_light_occlusion_predictor autoware_traffic_light_selector autoware_traffic_light_visualization perception_utils autoware_costmap_generator autoware_diffusion_planner autoware_external_velocity_limit_selector autoware_freespace_planner autoware_freespace_planning_algorithms autoware_hazard_lights_selector autoware_mission_planner_universe autoware_path_optimizer autoware_path_smoother autoware_remaining_distance_time_calculator autoware_rtc_interface autoware_scenario_selector autoware_surround_obstacle_checker autoware_behavior_path_avoidance_by_lane_change_module autoware_behavior_path_bidirectional_traffic_module autoware_behavior_path_dynamic_obstacle_avoidance_module autoware_behavior_path_external_request_lane_change_module autoware_behavior_path_goal_planner_module autoware_behavior_path_lane_change_module autoware_behavior_path_planner autoware_behavior_path_planner_common autoware_behavior_path_sampling_planner_module autoware_behavior_path_side_shift_module autoware_behavior_path_start_planner_module autoware_behavior_path_static_obstacle_avoidance_module autoware_behavior_velocity_blind_spot_module autoware_behavior_velocity_crosswalk_module autoware_behavior_velocity_detection_area_module autoware_behavior_velocity_intersection_module autoware_behavior_velocity_no_drivable_lane_module autoware_behavior_velocity_no_stopping_area_module autoware_behavior_velocity_occlusion_spot_module autoware_behavior_velocity_rtc_interface autoware_behavior_velocity_run_out_module autoware_behavior_velocity_speed_bump_module autoware_behavior_velocity_template_module autoware_behavior_velocity_traffic_light_module autoware_behavior_velocity_virtual_traffic_light_module autoware_behavior_velocity_walkway_module autoware_motion_velocity_boundary_departure_prevention_module autoware_motion_velocity_dynamic_obstacle_stop_module autoware_motion_velocity_obstacle_cruise_module autoware_motion_velocity_obstacle_slow_down_module autoware_motion_velocity_obstacle_velocity_limiter_module autoware_motion_velocity_out_of_lane_module autoware_motion_velocity_road_user_stop_module autoware_motion_velocity_run_out_module autoware_planning_validator autoware_planning_validator_intersection_collision_checker autoware_planning_validator_latency_checker autoware_planning_validator_rear_collision_checker autoware_planning_validator_test_utils autoware_planning_validator_trajectory_checker autoware_bezier_sampler autoware_frenet_planner autoware_path_sampler autoware_sampler_common autoware_cuda_pointcloud_preprocessor autoware_cuda_utils autoware_image_diagnostics autoware_image_transport_decompressor autoware_imu_corrector autoware_pcl_extensions autoware_pointcloud_preprocessor autoware_radar_objects_adapter autoware_radar_scan_to_pointcloud2 autoware_radar_static_pointcloud_filter autoware_radar_threshold_filter autoware_radar_tracks_noise_filter autoware_livox_tag_filter autoware_carla_interface autoware_dummy_perception_publisher autoware_fault_injection autoware_learning_based_vehicle_model autoware_simple_planning_simulator autoware_vehicle_door_simulator tier4_dummy_object_rviz_plugin autoware_bluetooth_monitor autoware_command_mode_decider autoware_command_mode_decider_plugins autoware_command_mode_switcher autoware_command_mode_switcher_plugins autoware_command_mode_types autoware_component_monitor autoware_component_state_monitor autoware_adapi_visualizers autoware_automatic_pose_initializer autoware_default_adapi_universe autoware_diagnostic_graph_aggregator autoware_diagnostic_graph_utils autoware_dummy_diag_publisher autoware_dummy_infrastructure autoware_duplicated_node_checker autoware_hazard_status_converter autoware_mrm_comfortable_stop_operator autoware_mrm_emergency_stop_operator autoware_mrm_handler autoware_pipeline_latency_monitor autoware_processing_time_checker autoware_system_monitor autoware_topic_relay_controller autoware_topic_state_monitor autoware_velodyne_monitor reaction_analyzer autoware_accel_brake_map_calibrator autoware_external_cmd_converter autoware_raw_vehicle_cmd_converter autoware_steer_offset_estimator autoware_bag_time_manager_rviz_plugin autoware_traffic_light_rviz_plugin tier4_adapi_rviz_plugin tier4_camera_view_rviz_plugin tier4_control_mode_rviz_plugin tier4_datetime_rviz_plugin tier4_perception_rviz_plugin tier4_planning_factor_rviz_plugin tier4_state_rviz_plugin tier4_system_rviz_plugin tier4_traffic_light_rviz_plugin tier4_vehicle_rviz_plugin

ROS Distro
github

Package Summary

Tags No category tags.
Version 0.47.0
License Apache License 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description
Checkout URI https://github.com/autowarefoundation/autoware_universe.git
VCS Type git
VCS Version main
Last Updated 2025-08-16
Dev Status UNKNOWN
Released UNRELEASED
Tags planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

autoware_cuda_pointcloud_preprocessor

Additional Links

No additional links.

Maintainers

  • Kenzo Lobos-Tsunekawa
  • Amadeusz Szymko
  • Max Schmeller
  • David Wong
  • Manato Hirabayashi
  • Yihsiang Fang

Authors

  • Kenzo Lobos-Tsunekawa

autoware_cuda_pointcloud_preprocessor

Purpose

The pointcloud preprocessing implemented in autoware_pointcloud_preprocessor has been thoroughly tested in autoware. However, the latency it introduces does not scale well with modern LiDAR devices due to the high number of points they introduce.

To alleviate this issue, this package reimplements most of the pipeline presented in autoware_pointcloud_preprocessor leveraging the use of GPGPUs. In particular, this package makes use of CUDA to provide accelerated versions of the already established implementations, while also maintaining compatibility with normal ROS nodes/topics. <!– cSpell: ignore GPGPUs >

Inner-workings / Algorithms

A detailed description of each filter’s algorithm is available in the following links.

Filter Name Description Detail
cuda_pointcloud_preprocessor Implements the cropping, distortion correction, and outlier filtering (ring-based) of the autoware_pointcloud_preprocessor’s CPU versions. link
cuda_concatenate_and_time_sync_node Implements pointcloud concatenation an synchronization following autoware_pointcloud_preprocessor’s CPU implementation. link
cuda_voxel_grid_downsample_filter Implements voxel downsample filtering of the autoware_pointcloud_preprocessor’s CPU version link

(Optional) Future extensions / Unimplemented parts

The subsample filters implemented in autoware_pointcloud_preprocessor will have similar counterparts in this package.

CHANGELOG

Changelog for package autoware_cuda_pointcloud_preprocessor

0.47.0 (2025-08-11)

  • style(pre-commit): update to clang-format-20 (#11088) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

  • fix(autoware cuda pointcloud preprocessor): trim IMU/twist queues correctly (#11055) fix(autoware_cuda_pointcloud_preprocessor): keep IMU/twist messages up to the one before the first point's timestamp

  • perf(autoware_cuda_pointcloud_preprocessor): execute thrust operations on the node's own CUDA stream (#10998)

    • perf(autoware_cuda_pointcloud_preprocessor): replace default thrust calls with ones with explicit cuda stream

    * chore: remove non-functional mempool allocator ---------

  • chore(autoware_cuda_pointcloud_preprocessor): add code owners (#11065)

  • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info (#10851)

    • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info
    • style(pre-commit): autofix
    • feat(autoware_cuda_pointcloud_preprocessor): handle concatenated pointcloud meta info
    • feat(autoware_pointcloud_preprocessor): serialized config of matching strategy
    • feat(autoware_pointcloud_preprocessor): update msg
    • feat(autoware_pointcloud_preprocessor): update msg (2)
    • docs(autoware_pointcloud_preprocessor): add cloud info topic description
    • feat(autoware_pointcloud_preprocessor): add unit tests for cloud info
    • fix(autoware_pointcloud_preprocessor): pre-commit
    • fix(autoware_pointcloud_preprocessor): remove *_struct headers inclusion
    • fix(autoware_pointcloud_preprocessor): check if the matching strategy cannot be enumerated
    • test(autoware_pointcloud_preprocessor): full cloud repr
    • feat(autoware_pointcloud_preprocessor): auto success set & more unit tests
    • feat(autoware_pointcloud_preprocessor): publish info regardless cloud content
    • style(autoware_pointcloud_preprocessor): typo
    • feat(autoware_pointcloud_preprocessor): make update_concatenated_point_cloud_config static for easier integration

    * docs(autoware_pointcloud_preprocessor): typo Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • fix(autoware_pointcloud_preprocessor): publish cloud info out of condition block
    • fix(autoware_pointcloud_preprocessor): container access with safe bound checking
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 1 - content)
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 2 - files name)
    • style(autoware_pointcloud_preprocessor): naming convention for main API
    • doc(autoware_pointcloud_preprocessor): add docstring

    * feat(autoware_pointcloud_preprocessor): add remap to launch files ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

  • fix(autoware_cuda_pointcloud_preprocessor): ensure type and API safety (#10987)

    • fix: return early on invalid pointcloud format
    • chore: add/remove (un)necessary initializer braces
    • chore: remove useless default destructor
    • fix: make layout check inline to comply with ODR
    • fix: check CUDA error for each API call
    • chore: fix most type-related clang-tidy warnings
    • chore: create point fields with less boilerplate
    • chore: change [num_]{.title-ref} fields back to [size_t]{.title-ref}
    • change [thrust::count]{.title-ref} result variables to [size_t]{.title-ref}

    * chore: static_assert that OutputPointType and InputPointType match Autoware point types ---------

  • Contributors: Amadeusz Szymko, David Wong, Max Schmeller, Mete Fatih

File truncated at 100 lines see the full file

Launch files

  • launch/cuda_concatenate_and_time_sync_node.launch.xml
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output [default: /sensing/lidar/concatenated/pointcloud]
      • output_info [default: /sensing/lidar/concatenated/pointcloud_info]
      • param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/concatenate_and_time_sync_node.param.yaml]
  • launch/cuda_pointcloud_preprocessor.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw_ex]
      • input/imu [default: /sensing/imu/imu_data]
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output/pointcloud [default: /sensing/lidar/top/test]
      • cuda_pointcloud_preprocessor_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_pointcloud_preprocessor.param.yaml]
  • launch/cuda_voxel_grid_downsample_filter.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw]
      • output/pointcloud [default: /sensing/lidar/top/downsampled]
      • debug [default: false]
      • cuda_voxel_gird_downsample_filter_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_voxel_grid_downsample_filter.param.yaml]

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autoware_cuda_pointcloud_preprocessor package from autoware_universe repo

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autoware_behavior_path_bidirectional_traffic_module autoware_behavior_path_dynamic_obstacle_avoidance_module autoware_behavior_path_external_request_lane_change_module autoware_behavior_path_goal_planner_module autoware_behavior_path_lane_change_module autoware_behavior_path_planner autoware_behavior_path_planner_common autoware_behavior_path_sampling_planner_module autoware_behavior_path_side_shift_module autoware_behavior_path_start_planner_module autoware_behavior_path_static_obstacle_avoidance_module autoware_behavior_velocity_blind_spot_module autoware_behavior_velocity_crosswalk_module autoware_behavior_velocity_detection_area_module autoware_behavior_velocity_intersection_module autoware_behavior_velocity_no_drivable_lane_module autoware_behavior_velocity_no_stopping_area_module autoware_behavior_velocity_occlusion_spot_module autoware_behavior_velocity_rtc_interface autoware_behavior_velocity_run_out_module autoware_behavior_velocity_speed_bump_module autoware_behavior_velocity_template_module autoware_behavior_velocity_traffic_light_module autoware_behavior_velocity_virtual_traffic_light_module autoware_behavior_velocity_walkway_module autoware_motion_velocity_boundary_departure_prevention_module autoware_motion_velocity_dynamic_obstacle_stop_module autoware_motion_velocity_obstacle_cruise_module autoware_motion_velocity_obstacle_slow_down_module autoware_motion_velocity_obstacle_velocity_limiter_module autoware_motion_velocity_out_of_lane_module autoware_motion_velocity_road_user_stop_module autoware_motion_velocity_run_out_module autoware_planning_validator autoware_planning_validator_intersection_collision_checker autoware_planning_validator_latency_checker autoware_planning_validator_rear_collision_checker autoware_planning_validator_test_utils autoware_planning_validator_trajectory_checker autoware_bezier_sampler autoware_frenet_planner autoware_path_sampler autoware_sampler_common autoware_cuda_pointcloud_preprocessor 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ROS Distro
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Package Summary

Tags No category tags.
Version 0.47.0
License Apache License 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description
Checkout URI https://github.com/autowarefoundation/autoware_universe.git
VCS Type git
VCS Version main
Last Updated 2025-08-16
Dev Status UNKNOWN
Released UNRELEASED
Tags planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

autoware_cuda_pointcloud_preprocessor

Additional Links

No additional links.

Maintainers

  • Kenzo Lobos-Tsunekawa
  • Amadeusz Szymko
  • Max Schmeller
  • David Wong
  • Manato Hirabayashi
  • Yihsiang Fang

Authors

  • Kenzo Lobos-Tsunekawa

autoware_cuda_pointcloud_preprocessor

Purpose

The pointcloud preprocessing implemented in autoware_pointcloud_preprocessor has been thoroughly tested in autoware. However, the latency it introduces does not scale well with modern LiDAR devices due to the high number of points they introduce.

To alleviate this issue, this package reimplements most of the pipeline presented in autoware_pointcloud_preprocessor leveraging the use of GPGPUs. In particular, this package makes use of CUDA to provide accelerated versions of the already established implementations, while also maintaining compatibility with normal ROS nodes/topics. <!– cSpell: ignore GPGPUs >

Inner-workings / Algorithms

A detailed description of each filter’s algorithm is available in the following links.

Filter Name Description Detail
cuda_pointcloud_preprocessor Implements the cropping, distortion correction, and outlier filtering (ring-based) of the autoware_pointcloud_preprocessor’s CPU versions. link
cuda_concatenate_and_time_sync_node Implements pointcloud concatenation an synchronization following autoware_pointcloud_preprocessor’s CPU implementation. link
cuda_voxel_grid_downsample_filter Implements voxel downsample filtering of the autoware_pointcloud_preprocessor’s CPU version link

(Optional) Future extensions / Unimplemented parts

The subsample filters implemented in autoware_pointcloud_preprocessor will have similar counterparts in this package.

CHANGELOG

Changelog for package autoware_cuda_pointcloud_preprocessor

0.47.0 (2025-08-11)

  • style(pre-commit): update to clang-format-20 (#11088) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

  • fix(autoware cuda pointcloud preprocessor): trim IMU/twist queues correctly (#11055) fix(autoware_cuda_pointcloud_preprocessor): keep IMU/twist messages up to the one before the first point's timestamp

  • perf(autoware_cuda_pointcloud_preprocessor): execute thrust operations on the node's own CUDA stream (#10998)

    • perf(autoware_cuda_pointcloud_preprocessor): replace default thrust calls with ones with explicit cuda stream

    * chore: remove non-functional mempool allocator ---------

  • chore(autoware_cuda_pointcloud_preprocessor): add code owners (#11065)

  • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info (#10851)

    • feat(autoware_pointcloud_preprocessor): add publisher for concatenated pointcloud meta info
    • style(pre-commit): autofix
    • feat(autoware_cuda_pointcloud_preprocessor): handle concatenated pointcloud meta info
    • feat(autoware_pointcloud_preprocessor): serialized config of matching strategy
    • feat(autoware_pointcloud_preprocessor): update msg
    • feat(autoware_pointcloud_preprocessor): update msg (2)
    • docs(autoware_pointcloud_preprocessor): add cloud info topic description
    • feat(autoware_pointcloud_preprocessor): add unit tests for cloud info
    • fix(autoware_pointcloud_preprocessor): pre-commit
    • fix(autoware_pointcloud_preprocessor): remove *_struct headers inclusion
    • fix(autoware_pointcloud_preprocessor): check if the matching strategy cannot be enumerated
    • test(autoware_pointcloud_preprocessor): full cloud repr
    • feat(autoware_pointcloud_preprocessor): auto success set & more unit tests
    • feat(autoware_pointcloud_preprocessor): publish info regardless cloud content
    • style(autoware_pointcloud_preprocessor): typo
    • feat(autoware_pointcloud_preprocessor): make update_concatenated_point_cloud_config static for easier integration

    * docs(autoware_pointcloud_preprocessor): typo Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • fix(autoware_pointcloud_preprocessor): publish cloud info out of condition block
    • fix(autoware_pointcloud_preprocessor): container access with safe bound checking
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 1 - content)
    • style(autoware_pointcloud_preprocessor): unify naming convention (part 2 - files name)
    • style(autoware_pointcloud_preprocessor): naming convention for main API
    • doc(autoware_pointcloud_preprocessor): add docstring

    * feat(autoware_pointcloud_preprocessor): add remap to launch files ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

  • fix(autoware_cuda_pointcloud_preprocessor): ensure type and API safety (#10987)

    • fix: return early on invalid pointcloud format
    • chore: add/remove (un)necessary initializer braces
    • chore: remove useless default destructor
    • fix: make layout check inline to comply with ODR
    • fix: check CUDA error for each API call
    • chore: fix most type-related clang-tidy warnings
    • chore: create point fields with less boilerplate
    • chore: change [num_]{.title-ref} fields back to [size_t]{.title-ref}
    • change [thrust::count]{.title-ref} result variables to [size_t]{.title-ref}

    * chore: static_assert that OutputPointType and InputPointType match Autoware point types ---------

  • Contributors: Amadeusz Szymko, David Wong, Max Schmeller, Mete Fatih

File truncated at 100 lines see the full file

Launch files

  • launch/cuda_concatenate_and_time_sync_node.launch.xml
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output [default: /sensing/lidar/concatenated/pointcloud]
      • output_info [default: /sensing/lidar/concatenated/pointcloud_info]
      • param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/concatenate_and_time_sync_node.param.yaml]
  • launch/cuda_pointcloud_preprocessor.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw_ex]
      • input/imu [default: /sensing/imu/imu_data]
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output/pointcloud [default: /sensing/lidar/top/test]
      • cuda_pointcloud_preprocessor_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_pointcloud_preprocessor.param.yaml]
  • launch/cuda_voxel_grid_downsample_filter.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/pointcloud_raw]
      • output/pointcloud [default: /sensing/lidar/top/downsampled]
      • debug [default: false]
      • cuda_voxel_gird_downsample_filter_param_file [default: $(find-pkg-share autoware_cuda_pointcloud_preprocessor)/config/cuda_voxel_grid_downsample_filter.param.yaml]

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Recent questions tagged autoware_cuda_pointcloud_preprocessor at Robotics Stack Exchange