Literature DB >> 32443805

Geometric Model and Calibration Method for a Solid-State LiDAR.

Pablo García-Gómez1,2, Santiago Royo1,2, Noel Rodrigo1,2, Josep R Casas3.   

Abstract

This paper presents a novel calibration method for solid-state LiDAR devices based on a geometrical description of their scanning system, which has variable angular resolution. Determining this distortion across the entire Field-of-View of the system yields accurate and precise measurements which enable it to be combined with other sensors. On the one hand, the geometrical model is formulated using the well-known Snell's law and the intrinsic optical assembly of the system, whereas on the other hand the proposed method describes the scanned scenario with an intuitive camera-like approach relating pixel locations with scanning directions. Simulations and experimental results show that the model fits with real devices and the calibration procedure accurately maps their variant resolution so undistorted representations of the observed scenario can be provided. Thus, the calibration method proposed during this work is applicable and valid for existing scanning systems improving their precision and accuracy in an order of magnitude.

Entities:  

Keywords:  FOV mapping; LiDAR calibration; distortion correction; solid-state LiDAR

Year:  2020        PMID: 32443805     DOI: 10.3390/s20102898

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

1.  Fast Positioning Model and Systematic Error Calibration of Chang'E-3 Obstacle Avoidance Lidar for Soft Landing.

Authors:  Donghong Wang; Xingfeng Chen; Jun Liu; Zongqi Liu; Fengjie Zheng; Limin Zhao; Jiaguo Li; Xiaofei Mi
Journal:  Sensors (Basel)       Date:  2022-09-28       Impact factor: 3.847

  1 in total

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