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Package Summary

The velo2cam_calibration package

  • Maintainer status: maintained
  • Maintainer: Jorge Beltran <jbeltran AT ing.uc3m DOT es>, Carlos Guindel <cguindel AT ing.uc3m DOT es>
  • Author: Jorge Beltran <jbeltran AT ing.uc3m DOT es>, Carlos Guindel <cguindel AT ing.uc3m DOT es>
  • License: GPLv2
  • Source: git https://github.com/beltransen/velo2cam_calibration.git (branch: master)

Package Summary

The velo2cam_calibration package

  • Maintainer status: maintained
  • Maintainer: Jorge Beltran <jbeltran AT ing.uc3m DOT es>, Carlos Guindel <cguindel AT ing.uc3m DOT es>
  • Author: Jorge Beltran <jbeltran AT ing.uc3m DOT es>, Carlos Guindel <cguindel AT ing.uc3m DOT es>
  • License: GPLv2
  • Source: git https://github.com/beltransen/velo2cam_calibration.git (branch: master)

Package Summary

The velo2cam_calibration package

  • Maintainer status: maintained
  • Maintainer: Jorge Beltran <jbeltran AT ing.uc3m DOT es>, Carlos Guindel <cguindel AT ing.uc3m DOT es>
  • Author: Jorge Beltran <jbeltran AT ing.uc3m DOT es>, Carlos Guindel <cguindel AT ing.uc3m DOT es>
  • License: GPLv2
  • Source: git https://github.com/beltransen/velo2cam_calibration.git (branch: master)

Package Summary

The velo2cam_calibration package

  • Maintainer status: maintained
  • Maintainer: Jorge Beltran <jbeltran AT ing.uc3m DOT es>, Carlos Guindel <cguindel AT ing.uc3m DOT es>
  • Author: Jorge Beltran <jbeltran AT ing.uc3m DOT es>, Carlos Guindel <cguindel AT ing.uc3m DOT es>
  • License: GPLv2
  • Source: git https://github.com/beltransen/velo2cam_calibration.git (branch: master)

Overview

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.png

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 the HOWTO guide 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_real_scheme_journal.png

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.


2021-05-15 13:07