![]() |
multi_lidar_calibration package from multi_lidar_calibration_ros2 repomulti_lidar_calibration |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.9.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | This repo contains a ROS2 package that implements NDT & ICP registration of PCL for multiple LiDAR extrinsics calibration. |
Checkout URI | https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2023-05-06 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Mark Jin
Authors
multi lidar calibration icp
overview
- This ROS2 node of LiDAR 2 LiDAR extrinsic calibration.
- This ROS2 node is an implementation of PCL regstration that using ICP and [NDT]https://en.wikipedia.org/wiki/Normal_distributions_transform#:~:text=The%20normal%20distributions%20transform%20(NDT,working%20at%20University%20of%20Tübingen.).
- Thanks [https://github.com/wutaoo] for this inspiration multi_lidar_calibration.
parameters
multi_llidar_calibration_ndt
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
leaf_size | voxel leaf size of approximate voxel grip filter | 0.2 |
step_size | step size of ndt registration | 0.05 |
resolution | resolution of ndt registration | 0.5 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
multi_lidar_calibration_icp
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
max_coorespondence_distance | max coorespondence distance | 0.05 |
euclidean_fitness_epsilon | euclidean fitness epsilon | 0.5 |
ransac_outlier_rejection_threshold | RANSAC outlier rejection threshold | 1.1 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
How To Use
There are 2 options for the multi-LiDAR extrinsics calibration, you can choose either ICP or NDT method. We are highly recommend you to use NDT method.
Prerequisites
if you have already installed Autoware.core/universe in your machine, you do not have to install these libraries below.
- Ubuntu 22.04
- ROS2 Humble
- PCL library
- pcl_ros
- tf2
- tf2_ros
Clone The Repository
mkdir calibration_ws
mkdir -p calibration_ws/src
cd calibration_ws/src
git clone https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git
Compile The Package
cd calibration_ws
colcon build
Calibrate Multiple LiDARs
- launch the ROS2 driver of multiple LiDARs
- replace the
source_pointcloud
andtarget_pointcloud
with you pointcloud topics parameters in the launch file. - launch calibrating program by executing the command below
ros2 launch multi_lidar_calibration multi_lidar_calbiration_ndt.launch.xml
- you can see the calibration result in rviz2 as well as in the terminal.
Reference
Package Dependencies
Deps | Name |
---|---|
ament_lint_auto | |
autoware_lint_common | |
rclcpp | |
sensor_msgs | |
geometry_msgs | |
pcl_conversions | |
pcl_msgs | |
pcl_ros | |
tf2 | |
tf2_geometry_msgs | |
tf2_ros | |
message_filters |
System Dependencies
Dependant Packages
Launch files
- launch/multi_lidar_calibration_icp.launch.xml
-
- initial_pose [default: [0.0, 0.0, 0.0, 0.0, 1.57, 0.0]]
- max_iteration [default: 100]
- transform_epsilon [default: 1e-9]
- max_coorespondence_distance [default: 0.05]
- euclidean_fitness_epsilon [default: 0.5]
- ransac_outlier_rejection_threshold [default: 1.1]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
- launch/multi_lidar_calibration_ndt.launch.xml
-
- initial_pose [default: [0.0, 0.0, -0.4, 0.0, 1.57, 0.0]]
- leaf_size [default: 0.2]
- max_iteration [default: 10]
- transform_epsilon [default: 0.001]
- step_size [default: 0.05]
- resolution [default: 0.5]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
Messages
Services
Plugins
Recent questions tagged multi_lidar_calibration at Robotics Stack Exchange
![]() |
multi_lidar_calibration package from multi_lidar_calibration_ros2 repomulti_lidar_calibration |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.9.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | This repo contains a ROS2 package that implements NDT & ICP registration of PCL for multiple LiDAR extrinsics calibration. |
Checkout URI | https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2023-05-06 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Mark Jin
Authors
multi lidar calibration icp
overview
- This ROS2 node of LiDAR 2 LiDAR extrinsic calibration.
- This ROS2 node is an implementation of PCL regstration that using ICP and [NDT]https://en.wikipedia.org/wiki/Normal_distributions_transform#:~:text=The%20normal%20distributions%20transform%20(NDT,working%20at%20University%20of%20Tübingen.).
- Thanks [https://github.com/wutaoo] for this inspiration multi_lidar_calibration.
parameters
multi_llidar_calibration_ndt
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
leaf_size | voxel leaf size of approximate voxel grip filter | 0.2 |
step_size | step size of ndt registration | 0.05 |
resolution | resolution of ndt registration | 0.5 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
multi_lidar_calibration_icp
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
max_coorespondence_distance | max coorespondence distance | 0.05 |
euclidean_fitness_epsilon | euclidean fitness epsilon | 0.5 |
ransac_outlier_rejection_threshold | RANSAC outlier rejection threshold | 1.1 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
How To Use
There are 2 options for the multi-LiDAR extrinsics calibration, you can choose either ICP or NDT method. We are highly recommend you to use NDT method.
Prerequisites
if you have already installed Autoware.core/universe in your machine, you do not have to install these libraries below.
- Ubuntu 22.04
- ROS2 Humble
- PCL library
- pcl_ros
- tf2
- tf2_ros
Clone The Repository
mkdir calibration_ws
mkdir -p calibration_ws/src
cd calibration_ws/src
git clone https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git
Compile The Package
cd calibration_ws
colcon build
Calibrate Multiple LiDARs
- launch the ROS2 driver of multiple LiDARs
- replace the
source_pointcloud
andtarget_pointcloud
with you pointcloud topics parameters in the launch file. - launch calibrating program by executing the command below
ros2 launch multi_lidar_calibration multi_lidar_calbiration_ndt.launch.xml
- you can see the calibration result in rviz2 as well as in the terminal.
Reference
Package Dependencies
Deps | Name |
---|---|
ament_lint_auto | |
autoware_lint_common | |
rclcpp | |
sensor_msgs | |
geometry_msgs | |
pcl_conversions | |
pcl_msgs | |
pcl_ros | |
tf2 | |
tf2_geometry_msgs | |
tf2_ros | |
message_filters |
System Dependencies
Dependant Packages
Launch files
- launch/multi_lidar_calibration_icp.launch.xml
-
- initial_pose [default: [0.0, 0.0, 0.0, 0.0, 1.57, 0.0]]
- max_iteration [default: 100]
- transform_epsilon [default: 1e-9]
- max_coorespondence_distance [default: 0.05]
- euclidean_fitness_epsilon [default: 0.5]
- ransac_outlier_rejection_threshold [default: 1.1]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
- launch/multi_lidar_calibration_ndt.launch.xml
-
- initial_pose [default: [0.0, 0.0, -0.4, 0.0, 1.57, 0.0]]
- leaf_size [default: 0.2]
- max_iteration [default: 10]
- transform_epsilon [default: 0.001]
- step_size [default: 0.05]
- resolution [default: 0.5]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
Messages
Services
Plugins
Recent questions tagged multi_lidar_calibration at Robotics Stack Exchange
![]() |
multi_lidar_calibration package from multi_lidar_calibration_ros2 repomulti_lidar_calibration |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.9.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | This repo contains a ROS2 package that implements NDT & ICP registration of PCL for multiple LiDAR extrinsics calibration. |
Checkout URI | https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2023-05-06 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Mark Jin
Authors
multi lidar calibration icp
overview
- This ROS2 node of LiDAR 2 LiDAR extrinsic calibration.
- This ROS2 node is an implementation of PCL regstration that using ICP and [NDT]https://en.wikipedia.org/wiki/Normal_distributions_transform#:~:text=The%20normal%20distributions%20transform%20(NDT,working%20at%20University%20of%20Tübingen.).
- Thanks [https://github.com/wutaoo] for this inspiration multi_lidar_calibration.
parameters
multi_llidar_calibration_ndt
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
leaf_size | voxel leaf size of approximate voxel grip filter | 0.2 |
step_size | step size of ndt registration | 0.05 |
resolution | resolution of ndt registration | 0.5 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
multi_lidar_calibration_icp
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
max_coorespondence_distance | max coorespondence distance | 0.05 |
euclidean_fitness_epsilon | euclidean fitness epsilon | 0.5 |
ransac_outlier_rejection_threshold | RANSAC outlier rejection threshold | 1.1 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
How To Use
There are 2 options for the multi-LiDAR extrinsics calibration, you can choose either ICP or NDT method. We are highly recommend you to use NDT method.
Prerequisites
if you have already installed Autoware.core/universe in your machine, you do not have to install these libraries below.
- Ubuntu 22.04
- ROS2 Humble
- PCL library
- pcl_ros
- tf2
- tf2_ros
Clone The Repository
mkdir calibration_ws
mkdir -p calibration_ws/src
cd calibration_ws/src
git clone https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git
Compile The Package
cd calibration_ws
colcon build
Calibrate Multiple LiDARs
- launch the ROS2 driver of multiple LiDARs
- replace the
source_pointcloud
andtarget_pointcloud
with you pointcloud topics parameters in the launch file. - launch calibrating program by executing the command below
ros2 launch multi_lidar_calibration multi_lidar_calbiration_ndt.launch.xml
- you can see the calibration result in rviz2 as well as in the terminal.
Reference
Package Dependencies
Deps | Name |
---|---|
ament_lint_auto | |
autoware_lint_common | |
rclcpp | |
sensor_msgs | |
geometry_msgs | |
pcl_conversions | |
pcl_msgs | |
pcl_ros | |
tf2 | |
tf2_geometry_msgs | |
tf2_ros | |
message_filters |
System Dependencies
Dependant Packages
Launch files
- launch/multi_lidar_calibration_icp.launch.xml
-
- initial_pose [default: [0.0, 0.0, 0.0, 0.0, 1.57, 0.0]]
- max_iteration [default: 100]
- transform_epsilon [default: 1e-9]
- max_coorespondence_distance [default: 0.05]
- euclidean_fitness_epsilon [default: 0.5]
- ransac_outlier_rejection_threshold [default: 1.1]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
- launch/multi_lidar_calibration_ndt.launch.xml
-
- initial_pose [default: [0.0, 0.0, -0.4, 0.0, 1.57, 0.0]]
- leaf_size [default: 0.2]
- max_iteration [default: 10]
- transform_epsilon [default: 0.001]
- step_size [default: 0.05]
- resolution [default: 0.5]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
Messages
Services
Plugins
Recent questions tagged multi_lidar_calibration at Robotics Stack Exchange
![]() |
multi_lidar_calibration package from multi_lidar_calibration_ros2 repomulti_lidar_calibration |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.9.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | This repo contains a ROS2 package that implements NDT & ICP registration of PCL for multiple LiDAR extrinsics calibration. |
Checkout URI | https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2023-05-06 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Mark Jin
Authors
multi lidar calibration icp
overview
- This ROS2 node of LiDAR 2 LiDAR extrinsic calibration.
- This ROS2 node is an implementation of PCL regstration that using ICP and [NDT]https://en.wikipedia.org/wiki/Normal_distributions_transform#:~:text=The%20normal%20distributions%20transform%20(NDT,working%20at%20University%20of%20Tübingen.).
- Thanks [https://github.com/wutaoo] for this inspiration multi_lidar_calibration.
parameters
multi_llidar_calibration_ndt
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
leaf_size | voxel leaf size of approximate voxel grip filter | 0.2 |
step_size | step size of ndt registration | 0.05 |
resolution | resolution of ndt registration | 0.5 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
multi_lidar_calibration_icp
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
max_coorespondence_distance | max coorespondence distance | 0.05 |
euclidean_fitness_epsilon | euclidean fitness epsilon | 0.5 |
ransac_outlier_rejection_threshold | RANSAC outlier rejection threshold | 1.1 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
How To Use
There are 2 options for the multi-LiDAR extrinsics calibration, you can choose either ICP or NDT method. We are highly recommend you to use NDT method.
Prerequisites
if you have already installed Autoware.core/universe in your machine, you do not have to install these libraries below.
- Ubuntu 22.04
- ROS2 Humble
- PCL library
- pcl_ros
- tf2
- tf2_ros
Clone The Repository
mkdir calibration_ws
mkdir -p calibration_ws/src
cd calibration_ws/src
git clone https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git
Compile The Package
cd calibration_ws
colcon build
Calibrate Multiple LiDARs
- launch the ROS2 driver of multiple LiDARs
- replace the
source_pointcloud
andtarget_pointcloud
with you pointcloud topics parameters in the launch file. - launch calibrating program by executing the command below
ros2 launch multi_lidar_calibration multi_lidar_calbiration_ndt.launch.xml
- you can see the calibration result in rviz2 as well as in the terminal.
Reference
Package Dependencies
Deps | Name |
---|---|
ament_lint_auto | |
autoware_lint_common | |
rclcpp | |
sensor_msgs | |
geometry_msgs | |
pcl_conversions | |
pcl_msgs | |
pcl_ros | |
tf2 | |
tf2_geometry_msgs | |
tf2_ros | |
message_filters |
System Dependencies
Dependant Packages
Launch files
- launch/multi_lidar_calibration_icp.launch.xml
-
- initial_pose [default: [0.0, 0.0, 0.0, 0.0, 1.57, 0.0]]
- max_iteration [default: 100]
- transform_epsilon [default: 1e-9]
- max_coorespondence_distance [default: 0.05]
- euclidean_fitness_epsilon [default: 0.5]
- ransac_outlier_rejection_threshold [default: 1.1]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
- launch/multi_lidar_calibration_ndt.launch.xml
-
- initial_pose [default: [0.0, 0.0, -0.4, 0.0, 1.57, 0.0]]
- leaf_size [default: 0.2]
- max_iteration [default: 10]
- transform_epsilon [default: 0.001]
- step_size [default: 0.05]
- resolution [default: 0.5]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
Messages
Services
Plugins
Recent questions tagged multi_lidar_calibration at Robotics Stack Exchange
![]() |
multi_lidar_calibration package from multi_lidar_calibration_ros2 repomulti_lidar_calibration |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.9.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | This repo contains a ROS2 package that implements NDT & ICP registration of PCL for multiple LiDAR extrinsics calibration. |
Checkout URI | https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2023-05-06 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Mark Jin
Authors
multi lidar calibration icp
overview
- This ROS2 node of LiDAR 2 LiDAR extrinsic calibration.
- This ROS2 node is an implementation of PCL regstration that using ICP and [NDT]https://en.wikipedia.org/wiki/Normal_distributions_transform#:~:text=The%20normal%20distributions%20transform%20(NDT,working%20at%20University%20of%20Tübingen.).
- Thanks [https://github.com/wutaoo] for this inspiration multi_lidar_calibration.
parameters
multi_llidar_calibration_ndt
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
leaf_size | voxel leaf size of approximate voxel grip filter | 0.2 |
step_size | step size of ndt registration | 0.05 |
resolution | resolution of ndt registration | 0.5 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
multi_lidar_calibration_icp
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
max_coorespondence_distance | max coorespondence distance | 0.05 |
euclidean_fitness_epsilon | euclidean fitness epsilon | 0.5 |
ransac_outlier_rejection_threshold | RANSAC outlier rejection threshold | 1.1 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
How To Use
There are 2 options for the multi-LiDAR extrinsics calibration, you can choose either ICP or NDT method. We are highly recommend you to use NDT method.
Prerequisites
if you have already installed Autoware.core/universe in your machine, you do not have to install these libraries below.
- Ubuntu 22.04
- ROS2 Humble
- PCL library
- pcl_ros
- tf2
- tf2_ros
Clone The Repository
mkdir calibration_ws
mkdir -p calibration_ws/src
cd calibration_ws/src
git clone https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git
Compile The Package
cd calibration_ws
colcon build
Calibrate Multiple LiDARs
- launch the ROS2 driver of multiple LiDARs
- replace the
source_pointcloud
andtarget_pointcloud
with you pointcloud topics parameters in the launch file. - launch calibrating program by executing the command below
ros2 launch multi_lidar_calibration multi_lidar_calbiration_ndt.launch.xml
- you can see the calibration result in rviz2 as well as in the terminal.
Reference
Package Dependencies
Deps | Name |
---|---|
ament_lint_auto | |
autoware_lint_common | |
rclcpp | |
sensor_msgs | |
geometry_msgs | |
pcl_conversions | |
pcl_msgs | |
pcl_ros | |
tf2 | |
tf2_geometry_msgs | |
tf2_ros | |
message_filters |
System Dependencies
Dependant Packages
Launch files
- launch/multi_lidar_calibration_icp.launch.xml
-
- initial_pose [default: [0.0, 0.0, 0.0, 0.0, 1.57, 0.0]]
- max_iteration [default: 100]
- transform_epsilon [default: 1e-9]
- max_coorespondence_distance [default: 0.05]
- euclidean_fitness_epsilon [default: 0.5]
- ransac_outlier_rejection_threshold [default: 1.1]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
- launch/multi_lidar_calibration_ndt.launch.xml
-
- initial_pose [default: [0.0, 0.0, -0.4, 0.0, 1.57, 0.0]]
- leaf_size [default: 0.2]
- max_iteration [default: 10]
- transform_epsilon [default: 0.001]
- step_size [default: 0.05]
- resolution [default: 0.5]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
Messages
Services
Plugins
Recent questions tagged multi_lidar_calibration at Robotics Stack Exchange
![]() |
multi_lidar_calibration package from multi_lidar_calibration_ros2 repomulti_lidar_calibration |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.9.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | This repo contains a ROS2 package that implements NDT & ICP registration of PCL for multiple LiDAR extrinsics calibration. |
Checkout URI | https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2023-05-06 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Mark Jin
Authors
multi lidar calibration icp
overview
- This ROS2 node of LiDAR 2 LiDAR extrinsic calibration.
- This ROS2 node is an implementation of PCL regstration that using ICP and [NDT]https://en.wikipedia.org/wiki/Normal_distributions_transform#:~:text=The%20normal%20distributions%20transform%20(NDT,working%20at%20University%20of%20Tübingen.).
- Thanks [https://github.com/wutaoo] for this inspiration multi_lidar_calibration.
parameters
multi_llidar_calibration_ndt
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
leaf_size | voxel leaf size of approximate voxel grip filter | 0.2 |
step_size | step size of ndt registration | 0.05 |
resolution | resolution of ndt registration | 0.5 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
multi_lidar_calibration_icp
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
max_coorespondence_distance | max coorespondence distance | 0.05 |
euclidean_fitness_epsilon | euclidean fitness epsilon | 0.5 |
ransac_outlier_rejection_threshold | RANSAC outlier rejection threshold | 1.1 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
How To Use
There are 2 options for the multi-LiDAR extrinsics calibration, you can choose either ICP or NDT method. We are highly recommend you to use NDT method.
Prerequisites
if you have already installed Autoware.core/universe in your machine, you do not have to install these libraries below.
- Ubuntu 22.04
- ROS2 Humble
- PCL library
- pcl_ros
- tf2
- tf2_ros
Clone The Repository
mkdir calibration_ws
mkdir -p calibration_ws/src
cd calibration_ws/src
git clone https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git
Compile The Package
cd calibration_ws
colcon build
Calibrate Multiple LiDARs
- launch the ROS2 driver of multiple LiDARs
- replace the
source_pointcloud
andtarget_pointcloud
with you pointcloud topics parameters in the launch file. - launch calibrating program by executing the command below
ros2 launch multi_lidar_calibration multi_lidar_calbiration_ndt.launch.xml
- you can see the calibration result in rviz2 as well as in the terminal.
Reference
Package Dependencies
Deps | Name |
---|---|
ament_lint_auto | |
autoware_lint_common | |
rclcpp | |
sensor_msgs | |
geometry_msgs | |
pcl_conversions | |
pcl_msgs | |
pcl_ros | |
tf2 | |
tf2_geometry_msgs | |
tf2_ros | |
message_filters |
System Dependencies
Dependant Packages
Launch files
- launch/multi_lidar_calibration_icp.launch.xml
-
- initial_pose [default: [0.0, 0.0, 0.0, 0.0, 1.57, 0.0]]
- max_iteration [default: 100]
- transform_epsilon [default: 1e-9]
- max_coorespondence_distance [default: 0.05]
- euclidean_fitness_epsilon [default: 0.5]
- ransac_outlier_rejection_threshold [default: 1.1]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
- launch/multi_lidar_calibration_ndt.launch.xml
-
- initial_pose [default: [0.0, 0.0, -0.4, 0.0, 1.57, 0.0]]
- leaf_size [default: 0.2]
- max_iteration [default: 10]
- transform_epsilon [default: 0.001]
- step_size [default: 0.05]
- resolution [default: 0.5]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
Messages
Services
Plugins
Recent questions tagged multi_lidar_calibration at Robotics Stack Exchange
![]() |
multi_lidar_calibration package from multi_lidar_calibration_ros2 repomulti_lidar_calibration |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.9.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | This repo contains a ROS2 package that implements NDT & ICP registration of PCL for multiple LiDAR extrinsics calibration. |
Checkout URI | https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2023-05-06 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Mark Jin
Authors
multi lidar calibration icp
overview
- This ROS2 node of LiDAR 2 LiDAR extrinsic calibration.
- This ROS2 node is an implementation of PCL regstration that using ICP and [NDT]https://en.wikipedia.org/wiki/Normal_distributions_transform#:~:text=The%20normal%20distributions%20transform%20(NDT,working%20at%20University%20of%20Tübingen.).
- Thanks [https://github.com/wutaoo] for this inspiration multi_lidar_calibration.
parameters
multi_llidar_calibration_ndt
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
leaf_size | voxel leaf size of approximate voxel grip filter | 0.2 |
step_size | step size of ndt registration | 0.05 |
resolution | resolution of ndt registration | 0.5 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
multi_lidar_calibration_icp
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
max_coorespondence_distance | max coorespondence distance | 0.05 |
euclidean_fitness_epsilon | euclidean fitness epsilon | 0.5 |
ransac_outlier_rejection_threshold | RANSAC outlier rejection threshold | 1.1 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
How To Use
There are 2 options for the multi-LiDAR extrinsics calibration, you can choose either ICP or NDT method. We are highly recommend you to use NDT method.
Prerequisites
if you have already installed Autoware.core/universe in your machine, you do not have to install these libraries below.
- Ubuntu 22.04
- ROS2 Humble
- PCL library
- pcl_ros
- tf2
- tf2_ros
Clone The Repository
mkdir calibration_ws
mkdir -p calibration_ws/src
cd calibration_ws/src
git clone https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git
Compile The Package
cd calibration_ws
colcon build
Calibrate Multiple LiDARs
- launch the ROS2 driver of multiple LiDARs
- replace the
source_pointcloud
andtarget_pointcloud
with you pointcloud topics parameters in the launch file. - launch calibrating program by executing the command below
ros2 launch multi_lidar_calibration multi_lidar_calbiration_ndt.launch.xml
- you can see the calibration result in rviz2 as well as in the terminal.
Reference
Package Dependencies
Deps | Name |
---|---|
ament_lint_auto | |
autoware_lint_common | |
rclcpp | |
sensor_msgs | |
geometry_msgs | |
pcl_conversions | |
pcl_msgs | |
pcl_ros | |
tf2 | |
tf2_geometry_msgs | |
tf2_ros | |
message_filters |
System Dependencies
Dependant Packages
Launch files
- launch/multi_lidar_calibration_icp.launch.xml
-
- initial_pose [default: [0.0, 0.0, 0.0, 0.0, 1.57, 0.0]]
- max_iteration [default: 100]
- transform_epsilon [default: 1e-9]
- max_coorespondence_distance [default: 0.05]
- euclidean_fitness_epsilon [default: 0.5]
- ransac_outlier_rejection_threshold [default: 1.1]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
- launch/multi_lidar_calibration_ndt.launch.xml
-
- initial_pose [default: [0.0, 0.0, -0.4, 0.0, 1.57, 0.0]]
- leaf_size [default: 0.2]
- max_iteration [default: 10]
- transform_epsilon [default: 0.001]
- step_size [default: 0.05]
- resolution [default: 0.5]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
Messages
Services
Plugins
Recent questions tagged multi_lidar_calibration at Robotics Stack Exchange
![]() |
multi_lidar_calibration package from multi_lidar_calibration_ros2 repomulti_lidar_calibration |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.9.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | This repo contains a ROS2 package that implements NDT & ICP registration of PCL for multiple LiDAR extrinsics calibration. |
Checkout URI | https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2023-05-06 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Mark Jin
Authors
multi lidar calibration icp
overview
- This ROS2 node of LiDAR 2 LiDAR extrinsic calibration.
- This ROS2 node is an implementation of PCL regstration that using ICP and [NDT]https://en.wikipedia.org/wiki/Normal_distributions_transform#:~:text=The%20normal%20distributions%20transform%20(NDT,working%20at%20University%20of%20Tübingen.).
- Thanks [https://github.com/wutaoo] for this inspiration multi_lidar_calibration.
parameters
multi_llidar_calibration_ndt
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
leaf_size | voxel leaf size of approximate voxel grip filter | 0.2 |
step_size | step size of ndt registration | 0.05 |
resolution | resolution of ndt registration | 0.5 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
multi_lidar_calibration_icp
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
max_coorespondence_distance | max coorespondence distance | 0.05 |
euclidean_fitness_epsilon | euclidean fitness epsilon | 0.5 |
ransac_outlier_rejection_threshold | RANSAC outlier rejection threshold | 1.1 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
How To Use
There are 2 options for the multi-LiDAR extrinsics calibration, you can choose either ICP or NDT method. We are highly recommend you to use NDT method.
Prerequisites
if you have already installed Autoware.core/universe in your machine, you do not have to install these libraries below.
- Ubuntu 22.04
- ROS2 Humble
- PCL library
- pcl_ros
- tf2
- tf2_ros
Clone The Repository
mkdir calibration_ws
mkdir -p calibration_ws/src
cd calibration_ws/src
git clone https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git
Compile The Package
cd calibration_ws
colcon build
Calibrate Multiple LiDARs
- launch the ROS2 driver of multiple LiDARs
- replace the
source_pointcloud
andtarget_pointcloud
with you pointcloud topics parameters in the launch file. - launch calibrating program by executing the command below
ros2 launch multi_lidar_calibration multi_lidar_calbiration_ndt.launch.xml
- you can see the calibration result in rviz2 as well as in the terminal.
Reference
Package Dependencies
Deps | Name |
---|---|
ament_lint_auto | |
autoware_lint_common | |
rclcpp | |
sensor_msgs | |
geometry_msgs | |
pcl_conversions | |
pcl_msgs | |
pcl_ros | |
tf2 | |
tf2_geometry_msgs | |
tf2_ros | |
message_filters |
System Dependencies
Dependant Packages
Launch files
- launch/multi_lidar_calibration_icp.launch.xml
-
- initial_pose [default: [0.0, 0.0, 0.0, 0.0, 1.57, 0.0]]
- max_iteration [default: 100]
- transform_epsilon [default: 1e-9]
- max_coorespondence_distance [default: 0.05]
- euclidean_fitness_epsilon [default: 0.5]
- ransac_outlier_rejection_threshold [default: 1.1]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
- launch/multi_lidar_calibration_ndt.launch.xml
-
- initial_pose [default: [0.0, 0.0, -0.4, 0.0, 1.57, 0.0]]
- leaf_size [default: 0.2]
- max_iteration [default: 10]
- transform_epsilon [default: 0.001]
- step_size [default: 0.05]
- resolution [default: 0.5]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
Messages
Services
Plugins
Recent questions tagged multi_lidar_calibration at Robotics Stack Exchange
![]() |
multi_lidar_calibration package from multi_lidar_calibration_ros2 repomulti_lidar_calibration |
ROS Distro
|
Package Summary
Tags | No category tags. |
Version | 0.9.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Description | This repo contains a ROS2 package that implements NDT & ICP registration of PCL for multiple LiDAR extrinsics calibration. |
Checkout URI | https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2023-05-06 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Mark Jin
Authors
multi lidar calibration icp
overview
- This ROS2 node of LiDAR 2 LiDAR extrinsic calibration.
- This ROS2 node is an implementation of PCL regstration that using ICP and [NDT]https://en.wikipedia.org/wiki/Normal_distributions_transform#:~:text=The%20normal%20distributions%20transform%20(NDT,working%20at%20University%20of%20Tübingen.).
- Thanks [https://github.com/wutaoo] for this inspiration multi_lidar_calibration.
parameters
multi_llidar_calibration_ndt
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
leaf_size | voxel leaf size of approximate voxel grip filter | 0.2 |
step_size | step size of ndt registration | 0.05 |
resolution | resolution of ndt registration | 0.5 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
multi_lidar_calibration_icp
parameter | description | default value |
---|---|---|
initial_pose | initial pose guess [x, y, z, roll, pitch, yaw] in radians |
[0.0, 0.0, 0.0, 0.0, 1.57, 0.0] |
max_iteration | max iteration for optimization | 100 |
transform_epsilon | transform epsilon | 1e-9 |
max_coorespondence_distance | max coorespondence distance | 0.05 |
euclidean_fitness_epsilon | euclidean fitness epsilon | 0.5 |
ransac_outlier_rejection_threshold | RANSAC outlier rejection threshold | 1.1 |
input/source_pointcloud | source pointcloud topic | /rs16/points |
input/target_pointcloud | target pointcloud topic | /rsbp/points |
How To Use
There are 2 options for the multi-LiDAR extrinsics calibration, you can choose either ICP or NDT method. We are highly recommend you to use NDT method.
Prerequisites
if you have already installed Autoware.core/universe in your machine, you do not have to install these libraries below.
- Ubuntu 22.04
- ROS2 Humble
- PCL library
- pcl_ros
- tf2
- tf2_ros
Clone The Repository
mkdir calibration_ws
mkdir -p calibration_ws/src
cd calibration_ws/src
git clone https://github.com/pixmoving-moveit/multi_lidar_calibration_ros2.git
Compile The Package
cd calibration_ws
colcon build
Calibrate Multiple LiDARs
- launch the ROS2 driver of multiple LiDARs
- replace the
source_pointcloud
andtarget_pointcloud
with you pointcloud topics parameters in the launch file. - launch calibrating program by executing the command below
ros2 launch multi_lidar_calibration multi_lidar_calbiration_ndt.launch.xml
- you can see the calibration result in rviz2 as well as in the terminal.
Reference
Package Dependencies
Deps | Name |
---|---|
ament_lint_auto | |
autoware_lint_common | |
rclcpp | |
sensor_msgs | |
geometry_msgs | |
pcl_conversions | |
pcl_msgs | |
pcl_ros | |
tf2 | |
tf2_geometry_msgs | |
tf2_ros | |
message_filters |
System Dependencies
Dependant Packages
Launch files
- launch/multi_lidar_calibration_icp.launch.xml
-
- initial_pose [default: [0.0, 0.0, 0.0, 0.0, 1.57, 0.0]]
- max_iteration [default: 100]
- transform_epsilon [default: 1e-9]
- max_coorespondence_distance [default: 0.05]
- euclidean_fitness_epsilon [default: 0.5]
- ransac_outlier_rejection_threshold [default: 1.1]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]
- launch/multi_lidar_calibration_ndt.launch.xml
-
- initial_pose [default: [0.0, 0.0, -0.4, 0.0, 1.57, 0.0]]
- leaf_size [default: 0.2]
- max_iteration [default: 10]
- transform_epsilon [default: 0.001]
- step_size [default: 0.05]
- resolution [default: 0.5]
- input/source_pointcloud [default: /rs16/points]
- input/target_pointcloud [default: /rsbp/points]