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MEMS-Scanner Testbench for High Field of View LiDAR Applications

LiDAR sensors are a key technology for enabling safe autonomous cars. For highway applications, such systems must have a long range, and the covered field of view (FoV) of >45° must be scanned with resolutions higher than 0.1°. These specifications can be met by modern MEMS scanners, which are ch...

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Detalles Bibliográficos
Autores principales: Baier, Valentin, Schardt, Michael, Fink, Maximilian, Jakobi, Martin, Koch, Alexander W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747549/
https://www.ncbi.nlm.nih.gov/pubmed/35009592
http://dx.doi.org/10.3390/s22010039
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author Baier, Valentin
Schardt, Michael
Fink, Maximilian
Jakobi, Martin
Koch, Alexander W.
author_facet Baier, Valentin
Schardt, Michael
Fink, Maximilian
Jakobi, Martin
Koch, Alexander W.
author_sort Baier, Valentin
collection PubMed
description LiDAR sensors are a key technology for enabling safe autonomous cars. For highway applications, such systems must have a long range, and the covered field of view (FoV) of >45° must be scanned with resolutions higher than 0.1°. These specifications can be met by modern MEMS scanners, which are chosen for their robustness and scalability. For the automotive market, these sensors, and especially the scanners within, must be tested to the highest standards. We propose a novel measurement setup for characterizing and validating these kinds of scanners based on a position-sensitive detector (PSD) by imaging a deflected laser beam from a diffuser screen onto the PSD. A so-called ray trace shifting technique (RTST) was used to minimize manual calibration effort, to reduce external mounting errors, and to enable dynamical one-shot measurements of the scanner’s steering angle over large FoVs. This paper describes the overall setup and the calibration method according to a standard camera calibration. We further show the setup’s capabilities by validating it with a statically set rotating stage and a dynamically oscillating MEMS scanner. The setup was found to be capable of measuring LiDAR MEMS scanners with a maximum FoV of 47° dynamically, with an uncertainty of less than 1%.
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spelling pubmed-87475492022-01-11 MEMS-Scanner Testbench for High Field of View LiDAR Applications Baier, Valentin Schardt, Michael Fink, Maximilian Jakobi, Martin Koch, Alexander W. Sensors (Basel) Article LiDAR sensors are a key technology for enabling safe autonomous cars. For highway applications, such systems must have a long range, and the covered field of view (FoV) of >45° must be scanned with resolutions higher than 0.1°. These specifications can be met by modern MEMS scanners, which are chosen for their robustness and scalability. For the automotive market, these sensors, and especially the scanners within, must be tested to the highest standards. We propose a novel measurement setup for characterizing and validating these kinds of scanners based on a position-sensitive detector (PSD) by imaging a deflected laser beam from a diffuser screen onto the PSD. A so-called ray trace shifting technique (RTST) was used to minimize manual calibration effort, to reduce external mounting errors, and to enable dynamical one-shot measurements of the scanner’s steering angle over large FoVs. This paper describes the overall setup and the calibration method according to a standard camera calibration. We further show the setup’s capabilities by validating it with a statically set rotating stage and a dynamically oscillating MEMS scanner. The setup was found to be capable of measuring LiDAR MEMS scanners with a maximum FoV of 47° dynamically, with an uncertainty of less than 1%. MDPI 2021-12-22 /pmc/articles/PMC8747549/ /pubmed/35009592 http://dx.doi.org/10.3390/s22010039 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Baier, Valentin
Schardt, Michael
Fink, Maximilian
Jakobi, Martin
Koch, Alexander W.
MEMS-Scanner Testbench for High Field of View LiDAR Applications
title MEMS-Scanner Testbench for High Field of View LiDAR Applications
title_full MEMS-Scanner Testbench for High Field of View LiDAR Applications
title_fullStr MEMS-Scanner Testbench for High Field of View LiDAR Applications
title_full_unstemmed MEMS-Scanner Testbench for High Field of View LiDAR Applications
title_short MEMS-Scanner Testbench for High Field of View LiDAR Applications
title_sort mems-scanner testbench for high field of view lidar applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747549/
https://www.ncbi.nlm.nih.gov/pubmed/35009592
http://dx.doi.org/10.3390/s22010039
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