No version for distro humble showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro jazzy showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro kilted showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro rolling showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro ardent showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro bouncy showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro crystal showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro eloquent showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro dashing showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro galactic showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro foxy showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro iron showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro jade showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro indigo showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

No version for distro hydro showing lunar. Known supported distros are highlighted in the buttons above.
Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
lunar

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
kinetic

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange

Package symbol

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

ROS Distro
noetic

Package Summary

Tags No category tags.
Version 1.0.1
License GPLv2
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The velo2cam_calibration package

Additional Links

Maintainers

  • Jorge Beltran
  • Carlos Guindel

Authors

  • Jorge Beltran
  • Carlos Guindel

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CHANGELOG
No CHANGELOG found.

Launch files

  • launch/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • sensor_id [default: 0]
  • launch/mono_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /mono_camera]
      • image_topic [default: image_color]
      • frame_name [default: mono_camera]
      • sensor_id [default: 0]
  • launch/registration.launch
      • sensor1_type [default: lidar]
      • sensor2_type [default: mono]
      • sensor1_id [default: 0]
      • sensor2_id [default: 0]
  • launch/stereo_pattern.launch
      • stdout [default: screen]
      • camera_name [default: /stereo_camera]
      • image_topic [default: image_rect_color]
      • frame_name [default: stereo_camera]
      • sensor_id [default: 0]

Services

No service files found

Plugins

No plugins found.

Recent questions tagged velo2cam_calibration at Robotics Stack Exchange