Evaluation and testing system for automotive LiDAR sensors

Detalhes bibliográficos
Autor(a) principal: Gomes, Tiago Manuel Ribeiro
Data de Publicação: 2022
Outros Autores: Roriz, Ricardo João Rei, Cunha, Luís, Ganal, Andreas, Soares, Narciso, Araújo, Teresa, Monteiro, João L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/81759
Resumo: The world is facing a great technological transformation towards fully autonomous vehicles, where optimists predict that by 2030 autonomous vehicles will be sufficiently reliable, affordable, and common to displace most human driving. To cope with these trends, reliable perception systems must enable vehicles to hear and see all their surroundings, with light detection and ranging (LiDAR) sensors being a key instrument for recreating a 3D visualization of the world in real time. However, perception systems must rely on accurate measurements of the environment. Thus, these intelligent sensors must be calibrated and benchmarked before being placed on the market or assembled in a car. This article presents an Evaluation and Testing Platform for Automotive LiDAR sensors, with the main goal of testing both commercially available sensors and new sensor prototypes currently under development in Bosch Car Multimedia Portugal. The testing system can benchmark any LiDAR sensor under different conditions, recreating the expected driving environment in which such devices normally operate. To characterize and validate the sensor under test, the platform evaluates several parameters, such as the field of view (FoV), angular resolution, sensor’s range, etc., based only on the point cloud output. This project is the result of a partnership between the University of Minho and Bosch Car Multimedia Portugal.
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spelling Evaluation and testing system for automotive LiDAR sensorsAutonomous drivingLiDAR sensorsPerception systemsEvaluation and testingEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaScience & TechnologyIndústria, inovação e infraestruturasThe world is facing a great technological transformation towards fully autonomous vehicles, where optimists predict that by 2030 autonomous vehicles will be sufficiently reliable, affordable, and common to displace most human driving. To cope with these trends, reliable perception systems must enable vehicles to hear and see all their surroundings, with light detection and ranging (LiDAR) sensors being a key instrument for recreating a 3D visualization of the world in real time. However, perception systems must rely on accurate measurements of the environment. Thus, these intelligent sensors must be calibrated and benchmarked before being placed on the market or assembled in a car. This article presents an Evaluation and Testing Platform for Automotive LiDAR sensors, with the main goal of testing both commercially available sensors and new sensor prototypes currently under development in Bosch Car Multimedia Portugal. The testing system can benchmark any LiDAR sensor under different conditions, recreating the expected driving environment in which such devices normally operate. To characterize and validate the sensor under test, the platform evaluates several parameters, such as the field of view (FoV), angular resolution, sensor’s range, etc., based only on the point cloud output. This project is the result of a partnership between the University of Minho and Bosch Car Multimedia Portugal.This work was supported by the European Structural and Investment Funds in the FEDER component through the Operational Competitiveness and Internationalization Programme (COM-PETE 2020), Project nº 037902, Funding Reference POCI-01-0247-FEDER-037902.MDPIUniversidade do MinhoGomes, Tiago Manuel RibeiroRoriz, Ricardo João ReiCunha, LuísGanal, AndreasSoares, NarcisoAraújo, TeresaMonteiro, João L.2022-12-182022-12-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/81759eng2076-341710.3390/app122413003https://www.mdpi.com/2076-3417/12/24/13003info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:02:07Zoai:repositorium.sdum.uminho.pt:1822/81759Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:52:05.793346Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Evaluation and testing system for automotive LiDAR sensors
title Evaluation and testing system for automotive LiDAR sensors
spellingShingle Evaluation and testing system for automotive LiDAR sensors
Gomes, Tiago Manuel Ribeiro
Autonomous driving
LiDAR sensors
Perception systems
Evaluation and testing
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
Indústria, inovação e infraestruturas
title_short Evaluation and testing system for automotive LiDAR sensors
title_full Evaluation and testing system for automotive LiDAR sensors
title_fullStr Evaluation and testing system for automotive LiDAR sensors
title_full_unstemmed Evaluation and testing system for automotive LiDAR sensors
title_sort Evaluation and testing system for automotive LiDAR sensors
author Gomes, Tiago Manuel Ribeiro
author_facet Gomes, Tiago Manuel Ribeiro
Roriz, Ricardo João Rei
Cunha, Luís
Ganal, Andreas
Soares, Narciso
Araújo, Teresa
Monteiro, João L.
author_role author
author2 Roriz, Ricardo João Rei
Cunha, Luís
Ganal, Andreas
Soares, Narciso
Araújo, Teresa
Monteiro, João L.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Gomes, Tiago Manuel Ribeiro
Roriz, Ricardo João Rei
Cunha, Luís
Ganal, Andreas
Soares, Narciso
Araújo, Teresa
Monteiro, João L.
dc.subject.por.fl_str_mv Autonomous driving
LiDAR sensors
Perception systems
Evaluation and testing
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
Indústria, inovação e infraestruturas
topic Autonomous driving
LiDAR sensors
Perception systems
Evaluation and testing
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
Indústria, inovação e infraestruturas
description The world is facing a great technological transformation towards fully autonomous vehicles, where optimists predict that by 2030 autonomous vehicles will be sufficiently reliable, affordable, and common to displace most human driving. To cope with these trends, reliable perception systems must enable vehicles to hear and see all their surroundings, with light detection and ranging (LiDAR) sensors being a key instrument for recreating a 3D visualization of the world in real time. However, perception systems must rely on accurate measurements of the environment. Thus, these intelligent sensors must be calibrated and benchmarked before being placed on the market or assembled in a car. This article presents an Evaluation and Testing Platform for Automotive LiDAR sensors, with the main goal of testing both commercially available sensors and new sensor prototypes currently under development in Bosch Car Multimedia Portugal. The testing system can benchmark any LiDAR sensor under different conditions, recreating the expected driving environment in which such devices normally operate. To characterize and validate the sensor under test, the platform evaluates several parameters, such as the field of view (FoV), angular resolution, sensor’s range, etc., based only on the point cloud output. This project is the result of a partnership between the University of Minho and Bosch Car Multimedia Portugal.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-18
2022-12-18T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/81759
url https://hdl.handle.net/1822/81759
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2076-3417
10.3390/app122413003
https://www.mdpi.com/2076-3417/12/24/13003
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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