Calibration
Data collection for rough terrain vehicle-Lidar calibration

Checkerboard is the calibration target. For small vehicles, the minimum checkerboard size is 0.6m^2. For large cars, the minimum checkerboard size is 2.4m^2. If calibrating a small car, you can print the below pdf file on a foam board at 1.0m x 0.6m. Most print shops can print this. https://drive.google.com/file/d/1mTR8HTpvROE1Pv0rmXEBVLSxs_yMDnvf?usp=sharing​For car wheels, use the Aruco markers. Click here for Aruco markers.

  1. 1.
    We need an additional camera which is used as a support(external) camera.
  2. 2.
    Stick Aruco markers to the vehicle wheels to auto-detect the wheel center. Click here for Aruco markers.
  3. 3.
    Place and fix the checkerboard position in the mounted lidar's field of view. A point cloud is extracted from the mounted Lidar sensor.
  4. 4.
    Take an image from the external camera having a front-left wheel, rear-left wheel, and checkerboard in its field of view.
  5. 5.
    Move the external camera to a different location and take another image. Repeat the process for at least three iteration
  6. 6.
    Now repeat the entire steps from 3 to 5 by moving the external camera to the right side of the vehicle.
Checkerboard placed in the view of the mounted lidar.
Image taken from external camera with front-left wheel, rear-left wheel and checkerboard in its field of view.
Image taken from external camera with front-right wheel, rear-right wheel and checkerboard in its field of view.

  1. 1.
    Try to use aruco markers of higher length. Measure the length of the aurco marker once printed, and configure same value in the tool.
  2. 2.
    Try to make sure the aruco marker is as plain as possible. Aluminium Dibond can be used for the same purpose.
  3. 3.
    Have the checkerboard tilted to the right, this helps to detect the checkerboard edge points and then make the sparse checkerboard dense.
  4. 4.
    Use accurate intrinsic parameters for the external camera as this method mostly depends on the aruco marker detection on the wheels.
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Calibration Target:
Data collection for vehicle-Lidar calibration:
Tips for accurate data collection: