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

Author:

Zaiter Mohammad Ali,Lherbier Régis,Faour GhalebORCID,Bazzi Oussama,Noyer Jean-CharlesORCID

Abstract

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.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DyLESC: A Dynamic LiDAR Extrinsic Self-Calibration Method for Intelligent Driving Vehicles;2022 IEEE 7th International Conference on Intelligent Transportation Engineering (ICITE);2022-11-11

2. Study of a Multi-Beam LiDAR Perception Assessment Model for Real-Time Autonomous Driving;IEEE Transactions on Instrumentation and Measurement;2021

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