Package Summary
| Tags | No category tags. |
| Version | 0.48.0 |
| 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 | 2025-12-03 |
| 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
Additional Links
Maintainers
- Yoshi Ri
- Yukihiro Saito
- Taekjin Lee
Authors
- Kosuke Takeuchi
- Yukihiro Saito
autoware_lidar_apollo_instance_segmentation

Purpose
This node segments 3D pointcloud data from lidar sensors into obstacles, e.g., cars, trucks, bicycles, and pedestrians based on CNN based model and obstacle clustering method.
Inner-workings / Algorithms
See the original design by Apollo.
Inputs / Outputs
Input
| Name | Type | Description |
|---|---|---|
input/pointcloud |
sensor_msgs/PointCloud2 |
Pointcloud data from lidar sensors |
Output
| Name | Type | Description |
|---|---|---|
output/labeled_clusters |
tier4_perception_msgs/DetectedObjectsWithFeature |
Detected objects with labeled pointcloud cluster. |
debug/instance_pointcloud |
sensor_msgs/PointCloud2 |
Segmented pointcloud for visualization. |
Parameters
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/hdl-64.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vlp-16.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vls-128.schema.json”) }}
Assumptions / Known limits
There is no training code for CNN model.
Note
This package makes use of three external codes. The trained files are provided by apollo. The trained files are automatically downloaded when you build.
Original URL
- VLP-16 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne16/deploy.caffemodel
- HDL-64 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne64/deploy.caffemodel
- VLS-128 : https://github.com/ApolloAuto/apollo/raw/91844c80ee4bd0cc838b4de4c625852363c258b5/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne128/deploy.caffemodel
Supported lidars are velodyne 16, 64 and 128, but you can also use velodyne 32 and other lidars with good accuracy.
/******************************************************************************
* Copyright 2017 The Apollo Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*****************************************************************************/
- tensorRTWrapper : It is used under the lib directory.
```txt MIT License
Copyright (c) 2018 lewes6369
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
File truncated at 100 lines see the full file
Changelog for package autoware_lidar_apollo_instance_segmentation
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
refactor(autoware_lidar_apollo_instance_segmentation): refactor launch and parameter (#11405) refactor params
-
fix(autoware_lidar_apollo_instance_segmentation): remove invalid key and change variable int to double (#11396)
- remove invalid key and change variable int to double
- change type to int
* update schema ---------
-
fix(lidar_apollo_instance_segmentation): revert apollo parameter pr 10097 (#11357)
* Revert "feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)" This reverts commit dcb9739b5c684afaede1f164f259b7364a7c32cf.
- feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>> ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome, Taekjin LEE, Vishal Chauhan
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
-
Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
-
chore: perception code owner update
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
| Name |
|---|
| libpcl-all-dev |
Dependant Packages
| Name | Deps |
|---|---|
| tier4_perception_launch |
Launch files
- launch/lidar_apollo_instance_segmentation.launch.xml
-
- input/pointcloud [default: /sensing/lidar/pointcloud]
- model [default: model_128]
- output/objects [default: labeled_clusters]
- build_only [default: false]
- base_name [default: vlp-16]
- base_name [default: hdl-64]
- base_name [default: vls-128]
- data_path [default: $(env HOME)/autoware_data]
- onnx_file [default: $(var data_path)/lidar_apollo_instance_segmentation/$(var base_name).onnx]
- param_file [default: $(find-pkg-share autoware_lidar_apollo_instance_segmentation)/config/$(var base_name).param.yaml]
- target_frame [default: base_link]
- precision [default: fp32]
Messages
Services
Plugins
Recent questions tagged autoware_lidar_apollo_instance_segmentation at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 0.48.0 |
| 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 | 2025-12-03 |
| 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
Additional Links
Maintainers
- Yoshi Ri
- Yukihiro Saito
- Taekjin Lee
Authors
- Kosuke Takeuchi
- Yukihiro Saito
autoware_lidar_apollo_instance_segmentation

Purpose
This node segments 3D pointcloud data from lidar sensors into obstacles, e.g., cars, trucks, bicycles, and pedestrians based on CNN based model and obstacle clustering method.
Inner-workings / Algorithms
See the original design by Apollo.
Inputs / Outputs
Input
| Name | Type | Description |
|---|---|---|
input/pointcloud |
sensor_msgs/PointCloud2 |
Pointcloud data from lidar sensors |
Output
| Name | Type | Description |
|---|---|---|
output/labeled_clusters |
tier4_perception_msgs/DetectedObjectsWithFeature |
Detected objects with labeled pointcloud cluster. |
debug/instance_pointcloud |
sensor_msgs/PointCloud2 |
Segmented pointcloud for visualization. |
Parameters
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/hdl-64.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vlp-16.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vls-128.schema.json”) }}
Assumptions / Known limits
There is no training code for CNN model.
Note
This package makes use of three external codes. The trained files are provided by apollo. The trained files are automatically downloaded when you build.
Original URL
- VLP-16 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne16/deploy.caffemodel
- HDL-64 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne64/deploy.caffemodel
- VLS-128 : https://github.com/ApolloAuto/apollo/raw/91844c80ee4bd0cc838b4de4c625852363c258b5/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne128/deploy.caffemodel
Supported lidars are velodyne 16, 64 and 128, but you can also use velodyne 32 and other lidars with good accuracy.
/******************************************************************************
* Copyright 2017 The Apollo Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*****************************************************************************/
- tensorRTWrapper : It is used under the lib directory.
```txt MIT License
Copyright (c) 2018 lewes6369
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
File truncated at 100 lines see the full file
Changelog for package autoware_lidar_apollo_instance_segmentation
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
refactor(autoware_lidar_apollo_instance_segmentation): refactor launch and parameter (#11405) refactor params
-
fix(autoware_lidar_apollo_instance_segmentation): remove invalid key and change variable int to double (#11396)
- remove invalid key and change variable int to double
- change type to int
* update schema ---------
-
fix(lidar_apollo_instance_segmentation): revert apollo parameter pr 10097 (#11357)
* Revert "feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)" This reverts commit dcb9739b5c684afaede1f164f259b7364a7c32cf.
- feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>> ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome, Taekjin LEE, Vishal Chauhan
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
-
Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
-
chore: perception code owner update
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
| Name |
|---|
| libpcl-all-dev |
Dependant Packages
| Name | Deps |
|---|---|
| tier4_perception_launch |
Launch files
- launch/lidar_apollo_instance_segmentation.launch.xml
-
- input/pointcloud [default: /sensing/lidar/pointcloud]
- model [default: model_128]
- output/objects [default: labeled_clusters]
- build_only [default: false]
- base_name [default: vlp-16]
- base_name [default: hdl-64]
- base_name [default: vls-128]
- data_path [default: $(env HOME)/autoware_data]
- onnx_file [default: $(var data_path)/lidar_apollo_instance_segmentation/$(var base_name).onnx]
- param_file [default: $(find-pkg-share autoware_lidar_apollo_instance_segmentation)/config/$(var base_name).param.yaml]
- target_frame [default: base_link]
- precision [default: fp32]
Messages
Services
Plugins
Recent questions tagged autoware_lidar_apollo_instance_segmentation at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 0.48.0 |
| 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 | 2025-12-03 |
| 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
Additional Links
Maintainers
- Yoshi Ri
- Yukihiro Saito
- Taekjin Lee
Authors
- Kosuke Takeuchi
- Yukihiro Saito
autoware_lidar_apollo_instance_segmentation

Purpose
This node segments 3D pointcloud data from lidar sensors into obstacles, e.g., cars, trucks, bicycles, and pedestrians based on CNN based model and obstacle clustering method.
Inner-workings / Algorithms
See the original design by Apollo.
Inputs / Outputs
Input
| Name | Type | Description |
|---|---|---|
input/pointcloud |
sensor_msgs/PointCloud2 |
Pointcloud data from lidar sensors |
Output
| Name | Type | Description |
|---|---|---|
output/labeled_clusters |
tier4_perception_msgs/DetectedObjectsWithFeature |
Detected objects with labeled pointcloud cluster. |
debug/instance_pointcloud |
sensor_msgs/PointCloud2 |
Segmented pointcloud for visualization. |
Parameters
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/hdl-64.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vlp-16.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vls-128.schema.json”) }}
Assumptions / Known limits
There is no training code for CNN model.
Note
This package makes use of three external codes. The trained files are provided by apollo. The trained files are automatically downloaded when you build.
Original URL
- VLP-16 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne16/deploy.caffemodel
- HDL-64 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne64/deploy.caffemodel
- VLS-128 : https://github.com/ApolloAuto/apollo/raw/91844c80ee4bd0cc838b4de4c625852363c258b5/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne128/deploy.caffemodel
Supported lidars are velodyne 16, 64 and 128, but you can also use velodyne 32 and other lidars with good accuracy.
/******************************************************************************
* Copyright 2017 The Apollo Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*****************************************************************************/
- tensorRTWrapper : It is used under the lib directory.
```txt MIT License
Copyright (c) 2018 lewes6369
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
File truncated at 100 lines see the full file
Changelog for package autoware_lidar_apollo_instance_segmentation
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
refactor(autoware_lidar_apollo_instance_segmentation): refactor launch and parameter (#11405) refactor params
-
fix(autoware_lidar_apollo_instance_segmentation): remove invalid key and change variable int to double (#11396)
- remove invalid key and change variable int to double
- change type to int
* update schema ---------
-
fix(lidar_apollo_instance_segmentation): revert apollo parameter pr 10097 (#11357)
* Revert "feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)" This reverts commit dcb9739b5c684afaede1f164f259b7364a7c32cf.
- feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>> ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome, Taekjin LEE, Vishal Chauhan
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
-
Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
-
chore: perception code owner update
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
| Name |
|---|
| libpcl-all-dev |
Dependant Packages
| Name | Deps |
|---|---|
| tier4_perception_launch |
Launch files
- launch/lidar_apollo_instance_segmentation.launch.xml
-
- input/pointcloud [default: /sensing/lidar/pointcloud]
- model [default: model_128]
- output/objects [default: labeled_clusters]
- build_only [default: false]
- base_name [default: vlp-16]
- base_name [default: hdl-64]
- base_name [default: vls-128]
- data_path [default: $(env HOME)/autoware_data]
- onnx_file [default: $(var data_path)/lidar_apollo_instance_segmentation/$(var base_name).onnx]
- param_file [default: $(find-pkg-share autoware_lidar_apollo_instance_segmentation)/config/$(var base_name).param.yaml]
- target_frame [default: base_link]
- precision [default: fp32]
Messages
Services
Plugins
Recent questions tagged autoware_lidar_apollo_instance_segmentation at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 0.48.0 |
| 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 | 2025-12-03 |
| 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
Additional Links
Maintainers
- Yoshi Ri
- Yukihiro Saito
- Taekjin Lee
Authors
- Kosuke Takeuchi
- Yukihiro Saito
autoware_lidar_apollo_instance_segmentation

Purpose
This node segments 3D pointcloud data from lidar sensors into obstacles, e.g., cars, trucks, bicycles, and pedestrians based on CNN based model and obstacle clustering method.
Inner-workings / Algorithms
See the original design by Apollo.
Inputs / Outputs
Input
| Name | Type | Description |
|---|---|---|
input/pointcloud |
sensor_msgs/PointCloud2 |
Pointcloud data from lidar sensors |
Output
| Name | Type | Description |
|---|---|---|
output/labeled_clusters |
tier4_perception_msgs/DetectedObjectsWithFeature |
Detected objects with labeled pointcloud cluster. |
debug/instance_pointcloud |
sensor_msgs/PointCloud2 |
Segmented pointcloud for visualization. |
Parameters
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/hdl-64.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vlp-16.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vls-128.schema.json”) }}
Assumptions / Known limits
There is no training code for CNN model.
Note
This package makes use of three external codes. The trained files are provided by apollo. The trained files are automatically downloaded when you build.
Original URL
- VLP-16 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne16/deploy.caffemodel
- HDL-64 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne64/deploy.caffemodel
- VLS-128 : https://github.com/ApolloAuto/apollo/raw/91844c80ee4bd0cc838b4de4c625852363c258b5/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne128/deploy.caffemodel
Supported lidars are velodyne 16, 64 and 128, but you can also use velodyne 32 and other lidars with good accuracy.
/******************************************************************************
* Copyright 2017 The Apollo Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*****************************************************************************/
- tensorRTWrapper : It is used under the lib directory.
```txt MIT License
Copyright (c) 2018 lewes6369
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
File truncated at 100 lines see the full file
Changelog for package autoware_lidar_apollo_instance_segmentation
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
refactor(autoware_lidar_apollo_instance_segmentation): refactor launch and parameter (#11405) refactor params
-
fix(autoware_lidar_apollo_instance_segmentation): remove invalid key and change variable int to double (#11396)
- remove invalid key and change variable int to double
- change type to int
* update schema ---------
-
fix(lidar_apollo_instance_segmentation): revert apollo parameter pr 10097 (#11357)
* Revert "feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)" This reverts commit dcb9739b5c684afaede1f164f259b7364a7c32cf.
- feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>> ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome, Taekjin LEE, Vishal Chauhan
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
-
Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
-
chore: perception code owner update
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
| Name |
|---|
| libpcl-all-dev |
Dependant Packages
| Name | Deps |
|---|---|
| tier4_perception_launch |
Launch files
- launch/lidar_apollo_instance_segmentation.launch.xml
-
- input/pointcloud [default: /sensing/lidar/pointcloud]
- model [default: model_128]
- output/objects [default: labeled_clusters]
- build_only [default: false]
- base_name [default: vlp-16]
- base_name [default: hdl-64]
- base_name [default: vls-128]
- data_path [default: $(env HOME)/autoware_data]
- onnx_file [default: $(var data_path)/lidar_apollo_instance_segmentation/$(var base_name).onnx]
- param_file [default: $(find-pkg-share autoware_lidar_apollo_instance_segmentation)/config/$(var base_name).param.yaml]
- target_frame [default: base_link]
- precision [default: fp32]
Messages
Services
Plugins
Recent questions tagged autoware_lidar_apollo_instance_segmentation at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 0.48.0 |
| 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 | 2025-12-03 |
| 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
Additional Links
Maintainers
- Yoshi Ri
- Yukihiro Saito
- Taekjin Lee
Authors
- Kosuke Takeuchi
- Yukihiro Saito
autoware_lidar_apollo_instance_segmentation

Purpose
This node segments 3D pointcloud data from lidar sensors into obstacles, e.g., cars, trucks, bicycles, and pedestrians based on CNN based model and obstacle clustering method.
Inner-workings / Algorithms
See the original design by Apollo.
Inputs / Outputs
Input
| Name | Type | Description |
|---|---|---|
input/pointcloud |
sensor_msgs/PointCloud2 |
Pointcloud data from lidar sensors |
Output
| Name | Type | Description |
|---|---|---|
output/labeled_clusters |
tier4_perception_msgs/DetectedObjectsWithFeature |
Detected objects with labeled pointcloud cluster. |
debug/instance_pointcloud |
sensor_msgs/PointCloud2 |
Segmented pointcloud for visualization. |
Parameters
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/hdl-64.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vlp-16.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vls-128.schema.json”) }}
Assumptions / Known limits
There is no training code for CNN model.
Note
This package makes use of three external codes. The trained files are provided by apollo. The trained files are automatically downloaded when you build.
Original URL
- VLP-16 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne16/deploy.caffemodel
- HDL-64 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne64/deploy.caffemodel
- VLS-128 : https://github.com/ApolloAuto/apollo/raw/91844c80ee4bd0cc838b4de4c625852363c258b5/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne128/deploy.caffemodel
Supported lidars are velodyne 16, 64 and 128, but you can also use velodyne 32 and other lidars with good accuracy.
/******************************************************************************
* Copyright 2017 The Apollo Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*****************************************************************************/
- tensorRTWrapper : It is used under the lib directory.
```txt MIT License
Copyright (c) 2018 lewes6369
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
File truncated at 100 lines see the full file
Changelog for package autoware_lidar_apollo_instance_segmentation
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
refactor(autoware_lidar_apollo_instance_segmentation): refactor launch and parameter (#11405) refactor params
-
fix(autoware_lidar_apollo_instance_segmentation): remove invalid key and change variable int to double (#11396)
- remove invalid key and change variable int to double
- change type to int
* update schema ---------
-
fix(lidar_apollo_instance_segmentation): revert apollo parameter pr 10097 (#11357)
* Revert "feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)" This reverts commit dcb9739b5c684afaede1f164f259b7364a7c32cf.
- feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>> ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome, Taekjin LEE, Vishal Chauhan
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
-
Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
-
chore: perception code owner update
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
| Name |
|---|
| libpcl-all-dev |
Dependant Packages
| Name | Deps |
|---|---|
| tier4_perception_launch |
Launch files
- launch/lidar_apollo_instance_segmentation.launch.xml
-
- input/pointcloud [default: /sensing/lidar/pointcloud]
- model [default: model_128]
- output/objects [default: labeled_clusters]
- build_only [default: false]
- base_name [default: vlp-16]
- base_name [default: hdl-64]
- base_name [default: vls-128]
- data_path [default: $(env HOME)/autoware_data]
- onnx_file [default: $(var data_path)/lidar_apollo_instance_segmentation/$(var base_name).onnx]
- param_file [default: $(find-pkg-share autoware_lidar_apollo_instance_segmentation)/config/$(var base_name).param.yaml]
- target_frame [default: base_link]
- precision [default: fp32]
Messages
Services
Plugins
Recent questions tagged autoware_lidar_apollo_instance_segmentation at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 0.48.0 |
| 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 | 2025-12-03 |
| 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
Additional Links
Maintainers
- Yoshi Ri
- Yukihiro Saito
- Taekjin Lee
Authors
- Kosuke Takeuchi
- Yukihiro Saito
autoware_lidar_apollo_instance_segmentation

Purpose
This node segments 3D pointcloud data from lidar sensors into obstacles, e.g., cars, trucks, bicycles, and pedestrians based on CNN based model and obstacle clustering method.
Inner-workings / Algorithms
See the original design by Apollo.
Inputs / Outputs
Input
| Name | Type | Description |
|---|---|---|
input/pointcloud |
sensor_msgs/PointCloud2 |
Pointcloud data from lidar sensors |
Output
| Name | Type | Description |
|---|---|---|
output/labeled_clusters |
tier4_perception_msgs/DetectedObjectsWithFeature |
Detected objects with labeled pointcloud cluster. |
debug/instance_pointcloud |
sensor_msgs/PointCloud2 |
Segmented pointcloud for visualization. |
Parameters
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/hdl-64.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vlp-16.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vls-128.schema.json”) }}
Assumptions / Known limits
There is no training code for CNN model.
Note
This package makes use of three external codes. The trained files are provided by apollo. The trained files are automatically downloaded when you build.
Original URL
- VLP-16 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne16/deploy.caffemodel
- HDL-64 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne64/deploy.caffemodel
- VLS-128 : https://github.com/ApolloAuto/apollo/raw/91844c80ee4bd0cc838b4de4c625852363c258b5/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne128/deploy.caffemodel
Supported lidars are velodyne 16, 64 and 128, but you can also use velodyne 32 and other lidars with good accuracy.
/******************************************************************************
* Copyright 2017 The Apollo Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*****************************************************************************/
- tensorRTWrapper : It is used under the lib directory.
```txt MIT License
Copyright (c) 2018 lewes6369
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
File truncated at 100 lines see the full file
Changelog for package autoware_lidar_apollo_instance_segmentation
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
refactor(autoware_lidar_apollo_instance_segmentation): refactor launch and parameter (#11405) refactor params
-
fix(autoware_lidar_apollo_instance_segmentation): remove invalid key and change variable int to double (#11396)
- remove invalid key and change variable int to double
- change type to int
* update schema ---------
-
fix(lidar_apollo_instance_segmentation): revert apollo parameter pr 10097 (#11357)
* Revert "feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)" This reverts commit dcb9739b5c684afaede1f164f259b7364a7c32cf.
- feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>> ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome, Taekjin LEE, Vishal Chauhan
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
-
Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
-
chore: perception code owner update
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
| Name |
|---|
| libpcl-all-dev |
Dependant Packages
| Name | Deps |
|---|---|
| tier4_perception_launch |
Launch files
- launch/lidar_apollo_instance_segmentation.launch.xml
-
- input/pointcloud [default: /sensing/lidar/pointcloud]
- model [default: model_128]
- output/objects [default: labeled_clusters]
- build_only [default: false]
- base_name [default: vlp-16]
- base_name [default: hdl-64]
- base_name [default: vls-128]
- data_path [default: $(env HOME)/autoware_data]
- onnx_file [default: $(var data_path)/lidar_apollo_instance_segmentation/$(var base_name).onnx]
- param_file [default: $(find-pkg-share autoware_lidar_apollo_instance_segmentation)/config/$(var base_name).param.yaml]
- target_frame [default: base_link]
- precision [default: fp32]
Messages
Services
Plugins
Recent questions tagged autoware_lidar_apollo_instance_segmentation at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 0.48.0 |
| 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 | 2025-12-03 |
| 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
Additional Links
Maintainers
- Yoshi Ri
- Yukihiro Saito
- Taekjin Lee
Authors
- Kosuke Takeuchi
- Yukihiro Saito
autoware_lidar_apollo_instance_segmentation

Purpose
This node segments 3D pointcloud data from lidar sensors into obstacles, e.g., cars, trucks, bicycles, and pedestrians based on CNN based model and obstacle clustering method.
Inner-workings / Algorithms
See the original design by Apollo.
Inputs / Outputs
Input
| Name | Type | Description |
|---|---|---|
input/pointcloud |
sensor_msgs/PointCloud2 |
Pointcloud data from lidar sensors |
Output
| Name | Type | Description |
|---|---|---|
output/labeled_clusters |
tier4_perception_msgs/DetectedObjectsWithFeature |
Detected objects with labeled pointcloud cluster. |
debug/instance_pointcloud |
sensor_msgs/PointCloud2 |
Segmented pointcloud for visualization. |
Parameters
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/hdl-64.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vlp-16.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vls-128.schema.json”) }}
Assumptions / Known limits
There is no training code for CNN model.
Note
This package makes use of three external codes. The trained files are provided by apollo. The trained files are automatically downloaded when you build.
Original URL
- VLP-16 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne16/deploy.caffemodel
- HDL-64 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne64/deploy.caffemodel
- VLS-128 : https://github.com/ApolloAuto/apollo/raw/91844c80ee4bd0cc838b4de4c625852363c258b5/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne128/deploy.caffemodel
Supported lidars are velodyne 16, 64 and 128, but you can also use velodyne 32 and other lidars with good accuracy.
/******************************************************************************
* Copyright 2017 The Apollo Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*****************************************************************************/
- tensorRTWrapper : It is used under the lib directory.
```txt MIT License
Copyright (c) 2018 lewes6369
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
File truncated at 100 lines see the full file
Changelog for package autoware_lidar_apollo_instance_segmentation
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
refactor(autoware_lidar_apollo_instance_segmentation): refactor launch and parameter (#11405) refactor params
-
fix(autoware_lidar_apollo_instance_segmentation): remove invalid key and change variable int to double (#11396)
- remove invalid key and change variable int to double
- change type to int
* update schema ---------
-
fix(lidar_apollo_instance_segmentation): revert apollo parameter pr 10097 (#11357)
* Revert "feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)" This reverts commit dcb9739b5c684afaede1f164f259b7364a7c32cf.
- feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>> ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome, Taekjin LEE, Vishal Chauhan
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
-
Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
-
chore: perception code owner update
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
| Name |
|---|
| libpcl-all-dev |
Dependant Packages
| Name | Deps |
|---|---|
| tier4_perception_launch |
Launch files
- launch/lidar_apollo_instance_segmentation.launch.xml
-
- input/pointcloud [default: /sensing/lidar/pointcloud]
- model [default: model_128]
- output/objects [default: labeled_clusters]
- build_only [default: false]
- base_name [default: vlp-16]
- base_name [default: hdl-64]
- base_name [default: vls-128]
- data_path [default: $(env HOME)/autoware_data]
- onnx_file [default: $(var data_path)/lidar_apollo_instance_segmentation/$(var base_name).onnx]
- param_file [default: $(find-pkg-share autoware_lidar_apollo_instance_segmentation)/config/$(var base_name).param.yaml]
- target_frame [default: base_link]
- precision [default: fp32]
Messages
Services
Plugins
Recent questions tagged autoware_lidar_apollo_instance_segmentation at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 0.48.0 |
| 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 | 2025-12-03 |
| 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
Additional Links
Maintainers
- Yoshi Ri
- Yukihiro Saito
- Taekjin Lee
Authors
- Kosuke Takeuchi
- Yukihiro Saito
autoware_lidar_apollo_instance_segmentation

Purpose
This node segments 3D pointcloud data from lidar sensors into obstacles, e.g., cars, trucks, bicycles, and pedestrians based on CNN based model and obstacle clustering method.
Inner-workings / Algorithms
See the original design by Apollo.
Inputs / Outputs
Input
| Name | Type | Description |
|---|---|---|
input/pointcloud |
sensor_msgs/PointCloud2 |
Pointcloud data from lidar sensors |
Output
| Name | Type | Description |
|---|---|---|
output/labeled_clusters |
tier4_perception_msgs/DetectedObjectsWithFeature |
Detected objects with labeled pointcloud cluster. |
debug/instance_pointcloud |
sensor_msgs/PointCloud2 |
Segmented pointcloud for visualization. |
Parameters
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/hdl-64.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vlp-16.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vls-128.schema.json”) }}
Assumptions / Known limits
There is no training code for CNN model.
Note
This package makes use of three external codes. The trained files are provided by apollo. The trained files are automatically downloaded when you build.
Original URL
- VLP-16 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne16/deploy.caffemodel
- HDL-64 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne64/deploy.caffemodel
- VLS-128 : https://github.com/ApolloAuto/apollo/raw/91844c80ee4bd0cc838b4de4c625852363c258b5/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne128/deploy.caffemodel
Supported lidars are velodyne 16, 64 and 128, but you can also use velodyne 32 and other lidars with good accuracy.
/******************************************************************************
* Copyright 2017 The Apollo Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*****************************************************************************/
- tensorRTWrapper : It is used under the lib directory.
```txt MIT License
Copyright (c) 2018 lewes6369
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
File truncated at 100 lines see the full file
Changelog for package autoware_lidar_apollo_instance_segmentation
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
refactor(autoware_lidar_apollo_instance_segmentation): refactor launch and parameter (#11405) refactor params
-
fix(autoware_lidar_apollo_instance_segmentation): remove invalid key and change variable int to double (#11396)
- remove invalid key and change variable int to double
- change type to int
* update schema ---------
-
fix(lidar_apollo_instance_segmentation): revert apollo parameter pr 10097 (#11357)
* Revert "feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)" This reverts commit dcb9739b5c684afaede1f164f259b7364a7c32cf.
- feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>> ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome, Taekjin LEE, Vishal Chauhan
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
-
Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
-
chore: perception code owner update
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
| Name |
|---|
| libpcl-all-dev |
Dependant Packages
| Name | Deps |
|---|---|
| tier4_perception_launch |
Launch files
- launch/lidar_apollo_instance_segmentation.launch.xml
-
- input/pointcloud [default: /sensing/lidar/pointcloud]
- model [default: model_128]
- output/objects [default: labeled_clusters]
- build_only [default: false]
- base_name [default: vlp-16]
- base_name [default: hdl-64]
- base_name [default: vls-128]
- data_path [default: $(env HOME)/autoware_data]
- onnx_file [default: $(var data_path)/lidar_apollo_instance_segmentation/$(var base_name).onnx]
- param_file [default: $(find-pkg-share autoware_lidar_apollo_instance_segmentation)/config/$(var base_name).param.yaml]
- target_frame [default: base_link]
- precision [default: fp32]
Messages
Services
Plugins
Recent questions tagged autoware_lidar_apollo_instance_segmentation at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 0.48.0 |
| 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 | 2025-12-03 |
| 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
Additional Links
Maintainers
- Yoshi Ri
- Yukihiro Saito
- Taekjin Lee
Authors
- Kosuke Takeuchi
- Yukihiro Saito
autoware_lidar_apollo_instance_segmentation

Purpose
This node segments 3D pointcloud data from lidar sensors into obstacles, e.g., cars, trucks, bicycles, and pedestrians based on CNN based model and obstacle clustering method.
Inner-workings / Algorithms
See the original design by Apollo.
Inputs / Outputs
Input
| Name | Type | Description |
|---|---|---|
input/pointcloud |
sensor_msgs/PointCloud2 |
Pointcloud data from lidar sensors |
Output
| Name | Type | Description |
|---|---|---|
output/labeled_clusters |
tier4_perception_msgs/DetectedObjectsWithFeature |
Detected objects with labeled pointcloud cluster. |
debug/instance_pointcloud |
sensor_msgs/PointCloud2 |
Segmented pointcloud for visualization. |
Parameters
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/hdl-64.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vlp-16.schema.json”) }}
{{ json_to_markdown(“perception/autoware_lidar_apollo_instance_segmentation/schema/vls-128.schema.json”) }}
Assumptions / Known limits
There is no training code for CNN model.
Note
This package makes use of three external codes. The trained files are provided by apollo. The trained files are automatically downloaded when you build.
Original URL
- VLP-16 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne16/deploy.caffemodel
- HDL-64 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne64/deploy.caffemodel
- VLS-128 : https://github.com/ApolloAuto/apollo/raw/91844c80ee4bd0cc838b4de4c625852363c258b5/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne128/deploy.caffemodel
Supported lidars are velodyne 16, 64 and 128, but you can also use velodyne 32 and other lidars with good accuracy.
/******************************************************************************
* Copyright 2017 The Apollo Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*****************************************************************************/
- tensorRTWrapper : It is used under the lib directory.
```txt MIT License
Copyright (c) 2018 lewes6369
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
File truncated at 100 lines see the full file
Changelog for package autoware_lidar_apollo_instance_segmentation
0.48.0 (2025-11-18)
-
Merge remote-tracking branch 'origin/main' into humble
-
refactor(autoware_lidar_apollo_instance_segmentation): refactor launch and parameter (#11405) refactor params
-
fix(autoware_lidar_apollo_instance_segmentation): remove invalid key and change variable int to double (#11396)
- remove invalid key and change variable int to double
- change type to int
* update schema ---------
-
fix(lidar_apollo_instance_segmentation): revert apollo parameter pr 10097 (#11357)
* Revert "feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)" This reverts commit dcb9739b5c684afaede1f164f259b7364a7c32cf.
- feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>> ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
feat(autoware_lidar_apollo_instance_segmentation): created the schema file, updated the readme file and deleted the default parameter in node files (#10097)
- feat(autoware_lidar_apollo_instance_segmentation): Created the schema file, updated the readme file and deleted the default parameter in node files
- style(pre-commit): autofix
- Update hdl-64.schema.json
- Update vlp-16.schema.json
- Update vls-128.schema.json
- Update hdl-64.param.yaml
- Update vlp-16.param.yaml
- Update vls-128.param.yaml
- style(pre-commit): autofix
- style(pre-commit): autofix
- style(pre-commit): autofix
- fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation; remove stray pipe
* fix(apollo_instance_segmentation): nest params under lidar_instance_segmentation for schema compliance ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Taekjin LEE <<taekjin.lee@tier4.jp>>
-
Contributors: Masato Saeki, Ryohsuke Mitsudome, Taekjin LEE, Vishal Chauhan
0.47.1 (2025-08-14)
0.47.0 (2025-08-11)
0.46.0 (2025-06-20)
0.45.0 (2025-05-22)
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Merge remote-tracking branch 'origin/main' into tmp/notbot/bump_version_base
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chore: perception code owner update
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Package Dependencies
System Dependencies
| Name |
|---|
| libpcl-all-dev |
Dependant Packages
| Name | Deps |
|---|---|
| tier4_perception_launch |
Launch files
- launch/lidar_apollo_instance_segmentation.launch.xml
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- input/pointcloud [default: /sensing/lidar/pointcloud]
- model [default: model_128]
- output/objects [default: labeled_clusters]
- build_only [default: false]
- base_name [default: vlp-16]
- base_name [default: hdl-64]
- base_name [default: vls-128]
- data_path [default: $(env HOME)/autoware_data]
- onnx_file [default: $(var data_path)/lidar_apollo_instance_segmentation/$(var base_name).onnx]
- param_file [default: $(find-pkg-share autoware_lidar_apollo_instance_segmentation)/config/$(var base_name).param.yaml]
- target_frame [default: base_link]
- precision [default: fp32]