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Communication Dans Un Congrès Année : 2020

3D LiDAR Extrinsic Calibration Method using Ground Plane Model Estimation

M.A. Zaiter
  • Fonction : Auteur
G. Faour
  • Fonction : Auteur
O. Bazzi
  • Fonction : Auteur

Résumé

In the context of road defects detection, especially potholes detection, using a 3D LiDAR mounted on a vehicle seems to be an interesting way to provide location and geometric information about the defects. In this paper, an extrinsic calibration method is proposed, to merge all the LiDAR frames in a common reference frame and to define the positioning of the sensor. This method depends mainly on the geometrical ground impact model in order to estimate the LiDAR extrinsic parameters by successive steps algorithm: fitting plane, Euler's angles estimation of rotation, height estimation and parameters optimization. Results are presented in terms of precision and robustness against the LiDAR range accuracy proving the performance of this calibration method.
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Dates et versions

hal-02954988 , version 1 (01-10-2020)

Identifiants

Citer

Jean-Charles Noyer, M.A. Zaiter, Régis Lherbier, G. Faour, O. Bazzi. 3D LiDAR Extrinsic Calibration Method using Ground Plane Model Estimation. The 8th IEEE International Conference on Connected Vehicles and Expo (ICCVE), Nov 2019, Graz, Austria. pp.1-6, ⟨10.1109/iccve45908.2019.8964949⟩. ⟨hal-02954988⟩
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