Extrinsic LiDAR/Ground Calibration Method Using 3D Geometrical Plane-Based Estimation

• Main Authors: Mohammad Ali Zaiter, Régis Lherbier, Ghaleb Faour, Oussama Bazzi, Jean-Charles Noyer
• Format: Article
• Language: English
• Published: MDPI AG 2020-05-01
• Series: Sensors
• Subjects: 3D LiDAR; laser rangefinder; extrinsic calibration; road surface object detection
• Online Access: https://www.mdpi.com/1424-8220/20/10/2841

This paper details a new extrinsic calibration method for scanning laser rangefinder that is precisely focused on the geometrical ground plane-based estimation. This method is also efficient in the challenging experimental configuration of a high angle of inclination of the LiDAR. In this configuration, the calibration of the LiDAR sensor is a key problem that can be be found in various domains and in particular to guarantee the efficiency of ground surface object detection. The proposed extrinsic calibration method can be summarized by the following procedure steps: fitting ground plane, extrinsic parameters estimation (3D orientation angles and altitude), and extrinsic parameters optimization. Finally, the results are presented in terms of precision and robustness against the variation of LiDAR’s orientation and range accuracy, respectively, showing the stability and the accuracy of the proposed extrinsic calibration method, which was validated through numerical simulation and real data to prove the method performance.