Modeling the use of LiDAR through adverse weather

Due to the outstanding characteristics of LiDAR imaging systems, they seem essential for the consolidation of novel applications related to computer vision, in fields such as autonomous vehicles, outdoor recognition, and surveillance. However, the final technology implementation still has some uncer...

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Detalles Bibliográficos
Autores: Ballesta Garcia, Maria|||0000-0002-7198-169X, Mas Giménez, Gerard de|||0000-0002-1160-3080, Royo Royo, Santiago|||0000-0003-0136-8301
Tipo de recurso: capítulo de libro
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/401561
Acceso en línea:https://hdl.handle.net/2117/401561
https://dx.doi.org/10.5772/intechopen.109079
Access Level:acceso abierto
Palabra clave:Optical radar
LiDAR
Turbid media
Scattering
Mie theory
Radiative transfer problem
Monte-Carlo method
Light propagation modeling
Pulsed light
Radar òptic
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
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spelling Modeling the use of LiDAR through adverse weatherBallesta Garcia, Maria|||0000-0002-7198-169XMas Giménez, Gerard de|||0000-0002-1160-3080Royo Royo, Santiago|||0000-0003-0136-8301Optical radarLiDARTurbid mediaScatteringMie theoryRadiative transfer problemMonte-Carlo methodLight propagation modelingPulsed lightRadar òpticÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::TeledeteccióDue to the outstanding characteristics of LiDAR imaging systems, they seem essential for the consolidation of novel applications related to computer vision, in fields such as autonomous vehicles, outdoor recognition, and surveillance. However, the final technology implementation still has some uncertainties and needs in-depth work for its use in these real-world applications. Under the presence of adverse weather conditions, for example in fog, LiDAR performance is heavily influenced and the quality of the detection becomes severely degraded. The range is reduced due to the dispersion of the media and the sensor could be saturated due to backscattering or deliver a very limited range. Light propagation modeling through turbid media is used as a tool to understand and study these phenomena. Mie Theory allows the characterization of the optical media and light-particle interactions. Monte-Carlo methods are used to solve the radiative transfer problem related to these situations. When working with those models, the results obtained are in accordance with the ones shown in experimental tests, and it is possible to predict the necessities and problems of the designed systems."Authors thank Agència de Gestió d’Ajuts Universitaris i de Recerca for Grants 2021FI_B2 0007. Authors also acknowledge support received from DSTL under contract DSTLX1000145661 and the one from Misnitry Sicience and Innovation through Projects PID2020-119484RB-I00 and PDC2021-121038-I00"Peer Reviewed20232023-07-1220242024-02-09book parthttp://purl.org/coar/resource_type/c_3248VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookPartapplication/pdfhttps://hdl.handle.net/2117/401561https://dx.doi.org/10.5772/intechopen.109079reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-119484RB-I00 IMAGEN MULTIMODAL PARA VISION A TRAVES DE MEDIOS DISPERSORESAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PDC2021-121038-I00 CAMARA POLARIMETRICA DE DIVISION DE APERTURA PARA IMAGEN EN MEDIOS TURBIOSopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 3.0 Spainhttp://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4015612026-05-27T15:37:01Z
dc.title.none.fl_str_mv Modeling the use of LiDAR through adverse weather
title Modeling the use of LiDAR through adverse weather
spellingShingle Modeling the use of LiDAR through adverse weather
Ballesta Garcia, Maria|||0000-0002-7198-169X
Optical radar
LiDAR
Turbid media
Scattering
Mie theory
Radiative transfer problem
Monte-Carlo method
Light propagation modeling
Pulsed light
Radar òptic
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
title_short Modeling the use of LiDAR through adverse weather
title_full Modeling the use of LiDAR through adverse weather
title_fullStr Modeling the use of LiDAR through adverse weather
title_full_unstemmed Modeling the use of LiDAR through adverse weather
title_sort Modeling the use of LiDAR through adverse weather
dc.creator.none.fl_str_mv Ballesta Garcia, Maria|||0000-0002-7198-169X
Mas Giménez, Gerard de|||0000-0002-1160-3080
Royo Royo, Santiago|||0000-0003-0136-8301
author Ballesta Garcia, Maria|||0000-0002-7198-169X
author_facet Ballesta Garcia, Maria|||0000-0002-7198-169X
Mas Giménez, Gerard de|||0000-0002-1160-3080
Royo Royo, Santiago|||0000-0003-0136-8301
author_role author
author2 Mas Giménez, Gerard de|||0000-0002-1160-3080
Royo Royo, Santiago|||0000-0003-0136-8301
author2_role author
author
dc.subject.none.fl_str_mv Optical radar
LiDAR
Turbid media
Scattering
Mie theory
Radiative transfer problem
Monte-Carlo method
Light propagation modeling
Pulsed light
Radar òptic
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
topic Optical radar
LiDAR
Turbid media
Scattering
Mie theory
Radiative transfer problem
Monte-Carlo method
Light propagation modeling
Pulsed light
Radar òptic
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
description Due to the outstanding characteristics of LiDAR imaging systems, they seem essential for the consolidation of novel applications related to computer vision, in fields such as autonomous vehicles, outdoor recognition, and surveillance. However, the final technology implementation still has some uncertainties and needs in-depth work for its use in these real-world applications. Under the presence of adverse weather conditions, for example in fog, LiDAR performance is heavily influenced and the quality of the detection becomes severely degraded. The range is reduced due to the dispersion of the media and the sensor could be saturated due to backscattering or deliver a very limited range. Light propagation modeling through turbid media is used as a tool to understand and study these phenomena. Mie Theory allows the characterization of the optical media and light-particle interactions. Monte-Carlo methods are used to solve the radiative transfer problem related to these situations. When working with those models, the results obtained are in accordance with the ones shown in experimental tests, and it is possible to predict the necessities and problems of the designed systems.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-07-12
2024
2024-02-09
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/401561
https://dx.doi.org/10.5772/intechopen.109079
url https://hdl.handle.net/2117/401561
https://dx.doi.org/10.5772/intechopen.109079
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-119484RB-I00 IMAGEN MULTIMODAL PARA VISION A TRAVES DE MEDIOS DISPERSORES
Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PDC2021-121038-I00 CAMARA POLARIMETRICA DE DIVISION DE APERTURA PARA IMAGEN EN MEDIOS TURBIOS
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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