Geometric model and calibration method for a solid-state LiDAR

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 en...

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Bibliographic Details
Authors: García Gómez, Pablo|||0000-0001-9265-7242, Royo Royo, Santiago|||0000-0003-0136-8301, Rodrigo Arcay, Noel|||0000-0003-0701-3640, Casas Pla, Josep Ramon|||0000-0003-4639-6904
Format: article
Publication Date:2020
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/190187
Online Access:https://hdl.handle.net/2117/190187
https://dx.doi.org/10.3390/s20102898
Access Level:Open access
Keyword:Optical radar -- Calibration
Solid-state LiDAR
LiDAR calibration
Distortion correction
FOV mapping
Radar òptic -- Calibratge
Àrees temàtiques de la UPC::Ciències de la visió::Òptica física
Description
Summary: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.