Skip to content

jiahongljh/but_calibration_camera_velodyne

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

but_calibration_camera_velodyne

ROS package for calibration camera with Velodyne LiDAR sensor. The package follows the methods proposed by:

[1] Velas, Spanel, Materna, Herout: Calibration of RGB Camera with Velodyne LiDAR

Requirements

  • ROS Hydro
  • PCl 1.7 and
  • OpenCV 2.x library

Usage

  • roslaunch but_calibration_camera_velodyne calibration_coarse.launch

    • command will run the coarse calibration using 3D marker (described in the [1])
    • if the 3D marker detection fails, the attempt will be repeated after 5s
    • upon the cuccess the node ends and prints the 6 Degrees of Freedom of the Velodyne related to the camera
  • roslaunch but_calibration_camera_velodyne calibration_fine.launch

    • will runs the calibration with the refinement. This process will take a longer time (approx. 1 minute)
  • roslaunch but_calibration_camera_velodyne coloring.launch

    • launches the publisher of colored pointclouds created by the camera -- Velodyne fusion
    • the calibration parameters (6DoF) computed by the calibration process must be set in configuration file conf/coloring.yaml (see below)

Configuration:

Configuration *.yaml files are stored in the direcotry conf/:

  • conf/calibration.yaml contains folowing parameters:
    • camera_frame_topic: name of the topic, where camera RGB image is published
    • camera_info_topic: topic of CameraInfo type
    • velodyne_topic: topic, where the Velodyne pointcloud is published
    • marker: physical size of the 3D marker
      • circles_distance: distance between the circles centres (see [1])
      • circles_radius: radius of the circles in marker (also see [1])
  • in conf/calibration.yaml you can specify:
    • 6DoF: vector of the calibration parameters computed by the calibration process
    • velodyne_color_topic: name of the topic, where the colored pointcloud will be published

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 97.7%
  • CMake 2.3%