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Extrinsic LiDAR/Ground Calibration Method Using 3D Geometrical Plane-Based Estimation.
Zaiter, Mohammad Ali; Lherbier, Régis; Faour, Ghaleb; Bazzi, Oussama; Noyer, Jean-Charles.
Afiliação
  • Zaiter MA; Laboratoire d'Informatique Signal et Image de la Côte d'Opale, Université du Littoral Côte d'Opale, LISIC, 59183 Dunkerque, France.
  • Lherbier R; Remote Sensing Research Center, National Council of Scientific Research (CNRS-L), Mansouriyeh 22411, Lebanon.
  • Faour G; Laboratoire d'Informatique Signal et Image de la Côte d'Opale, Université du Littoral Côte d'Opale, LISIC, 59183 Dunkerque, France.
  • Bazzi O; Remote Sensing Research Center, National Council of Scientific Research (CNRS-L), Mansouriyeh 22411, Lebanon.
  • Noyer JC; Department of Physics and Electronics, Faculty of Science, Lebanese University, Hadath 11-8281, Lebanon.
Sensors (Basel) ; 20(10)2020 May 16.
Article em En | MEDLINE | ID: mdl-32429427
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: França