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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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Autores principales: García-Gómez, Pablo, Royo, Santiago, Rodrigo, Noel, Casas, Josep R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287784/
https://www.ncbi.nlm.nih.gov/pubmed/32443805
http://dx.doi.org/10.3390/s20102898
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author García-Gómez, Pablo
Royo, Santiago
Rodrigo, Noel
Casas, Josep R.
author_facet García-Gómez, Pablo
Royo, Santiago
Rodrigo, Noel
Casas, Josep R.
author_sort García-Gómez, Pablo
collection PubMed
description 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.
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spelling pubmed-72877842020-06-15 Geometric Model and Calibration Method for a Solid-State LiDAR García-Gómez, Pablo Royo, Santiago Rodrigo, Noel Casas, Josep R. Sensors (Basel) Article 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. MDPI 2020-05-20 /pmc/articles/PMC7287784/ /pubmed/32443805 http://dx.doi.org/10.3390/s20102898 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
García-Gómez, Pablo
Royo, Santiago
Rodrigo, Noel
Casas, Josep R.
Geometric Model and Calibration Method for a Solid-State LiDAR
title Geometric Model and Calibration Method for a Solid-State LiDAR
title_full Geometric Model and Calibration Method for a Solid-State LiDAR
title_fullStr Geometric Model and Calibration Method for a Solid-State LiDAR
title_full_unstemmed Geometric Model and Calibration Method for a Solid-State LiDAR
title_short Geometric Model and Calibration Method for a Solid-State LiDAR
title_sort geometric model and calibration method for a solid-state lidar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287784/
https://www.ncbi.nlm.nih.gov/pubmed/32443805
http://dx.doi.org/10.3390/s20102898
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