velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

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 2021-02-25
Dev Status MAINTAINED
CI status No Continuous Integration
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

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 [1]. This software is provided as a ROS package.

Package developed at Intelligent Systems Laboratory, Universidad Carlos III de Madrid.

real results

Setup

To install this ROS package: 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:

[1] Beltrán, J., Guindel, C., and García, F. (2021). Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. arXiv:2101.04431 [cs.RO]. Submitted to IEEE Transactions on Intelligent Transportation Systems.

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

[2] Guindel, C., Beltrán, J., Martín, D., and García, F. (2017). Automatic Extrinsic Calibration for Lidar-Stereo Vehicle Sensor Setup. IEEE International Conference on Intelligent Transportation Systems (ITSC), 674–679.

CHANGELOG
No CHANGELOG found.

Wiki Tutorials

See ROS Wiki Tutorials for more details.

Source Tutorials

Not currently indexed.

Launch files

  • 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/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • 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 answers.ros.org

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

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 2021-02-25
Dev Status MAINTAINED
CI status No Continuous Integration
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

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 [1]. This software is provided as a ROS package.

Package developed at Intelligent Systems Laboratory, Universidad Carlos III de Madrid.

real results

Setup

To install this ROS package: 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:

[1] Beltrán, J., Guindel, C., and García, F. (2021). Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. arXiv:2101.04431 [cs.RO]. Submitted to IEEE Transactions on Intelligent Transportation Systems.

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

[2] Guindel, C., Beltrán, J., Martín, D., and García, F. (2017). Automatic Extrinsic Calibration for Lidar-Stereo Vehicle Sensor Setup. IEEE International Conference on Intelligent Transportation Systems (ITSC), 674–679.

CHANGELOG
No CHANGELOG found.

Wiki Tutorials

See ROS Wiki Tutorials for more details.

Source Tutorials

Not currently indexed.

Launch files

  • 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/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • 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 answers.ros.org

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

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 2021-02-25
Dev Status MAINTAINED
CI status No Continuous Integration
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

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 [1]. This software is provided as a ROS package.

Package developed at Intelligent Systems Laboratory, Universidad Carlos III de Madrid.

real results

Setup

To install this ROS package: 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:

[1] Beltrán, J., Guindel, C., and García, F. (2021). Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. arXiv:2101.04431 [cs.RO]. Submitted to IEEE Transactions on Intelligent Transportation Systems.

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

[2] Guindel, C., Beltrán, J., Martín, D., and García, F. (2017). Automatic Extrinsic Calibration for Lidar-Stereo Vehicle Sensor Setup. IEEE International Conference on Intelligent Transportation Systems (ITSC), 674–679.

CHANGELOG
No CHANGELOG found.

Wiki Tutorials

See ROS Wiki Tutorials for more details.

Source Tutorials

Not currently indexed.

Launch files

  • 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/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • 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 answers.ros.org

velo2cam_calibration package from velo2cam_calibration repo

velo2cam_calibration

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 2021-02-25
Dev Status MAINTAINED
CI status No Continuous Integration
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

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 [1]. This software is provided as a ROS package.

Package developed at Intelligent Systems Laboratory, Universidad Carlos III de Madrid.

real results

Setup

To install this ROS package: 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:

[1] Beltrán, J., Guindel, C., and García, F. (2021). Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. arXiv:2101.04431 [cs.RO]. Submitted to IEEE Transactions on Intelligent Transportation Systems.

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

[2] Guindel, C., Beltrán, J., Martín, D., and García, F. (2017). Automatic Extrinsic Calibration for Lidar-Stereo Vehicle Sensor Setup. IEEE International Conference on Intelligent Transportation Systems (ITSC), 674–679.

CHANGELOG
No CHANGELOG found.

Wiki Tutorials

See ROS Wiki Tutorials for more details.

Source Tutorials

Not currently indexed.

Launch files

  • 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/lidar_pattern.launch
      • stdout [default: screen]
      • cloud_topic [default: velodyne_points]
      • 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 answers.ros.org