Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.8/5958 |
Resumo: | Human errors are probably the main cause of car accidents, and this type of vehicle is one of the most dangerous forms of transport for people. The danger comes from the fact that on public roads there are simultaneously different types of actors (drivers, pedestrians or cyclists) and many objects that change their position over time, making difficult to predict their immediate movements. The intelligent transport system (ITS-G5) standard specifies the European communication technologies and protocols to assist public road users, providing them with relevant information. The scientific community is developing ITS-G5 applications for various purposes, among which is the increasing of pedestrian safety. This paper describes the developed work to implement an ITS-G5 prototype that aims at the increasing of pedestrian and driver safety in the vicinity of a pedestrian crosswalk by sending ITS-G5 decentralized environmental notification messages (DENM) to the vehicles. These messages are analyzed, and if they are relevant, they are presented to the driver through a car’s onboard infotainment system. This alert allows the driver to take safety precautions to prevent accidents. The implemented prototype was tested in a controlled environment pedestrian crosswalk. The results showed the capacity of the prototype for detecting pedestrians, suitable message sending, the reception and processing on a vehicle onboard unit (OBU) module and its presentation on the car onboard infotainment system. |
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Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 TechnologiesITS applicationsC-ITSITS-G5802.11pComputer visionPattern detectionArtificial intelligenceHuman errors are probably the main cause of car accidents, and this type of vehicle is one of the most dangerous forms of transport for people. The danger comes from the fact that on public roads there are simultaneously different types of actors (drivers, pedestrians or cyclists) and many objects that change their position over time, making difficult to predict their immediate movements. The intelligent transport system (ITS-G5) standard specifies the European communication technologies and protocols to assist public road users, providing them with relevant information. The scientific community is developing ITS-G5 applications for various purposes, among which is the increasing of pedestrian safety. This paper describes the developed work to implement an ITS-G5 prototype that aims at the increasing of pedestrian and driver safety in the vicinity of a pedestrian crosswalk by sending ITS-G5 decentralized environmental notification messages (DENM) to the vehicles. These messages are analyzed, and if they are relevant, they are presented to the driver through a car’s onboard infotainment system. This alert allows the driver to take safety precautions to prevent accidents. The implemented prototype was tested in a controlled environment pedestrian crosswalk. The results showed the capacity of the prototype for detecting pedestrians, suitable message sending, the reception and processing on a vehicle onboard unit (OBU) module and its presentation on the car onboard infotainment system.MDPIIC-OnlineGaspar, FranciscoGuerreiro, VitorLoureiro, PauloCosta, PauloMendes, SílvioRabadão, Carlos2021-07-29T10:08:03Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/5958engGaspar, F.; Guerreiro, V.; Loureiro, P.; Costa, P.; Mendes, S.; Rabadão, C. Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies. Information 2020, 11, 503. https://doi.org/10.3390/info111105032078-248910.3390/info11110503info: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:RCAAP2024-01-17T15:52:05Zoai:iconline.ipleiria.pt:10400.8/5958Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:49:19.252185Repositório 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 |
Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies |
title |
Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies |
spellingShingle |
Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies Gaspar, Francisco ITS applications C-ITS ITS-G5 802.11p Computer vision Pattern detection Artificial intelligence |
title_short |
Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies |
title_full |
Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies |
title_fullStr |
Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies |
title_full_unstemmed |
Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies |
title_sort |
Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies |
author |
Gaspar, Francisco |
author_facet |
Gaspar, Francisco Guerreiro, Vitor Loureiro, Paulo Costa, Paulo Mendes, Sílvio Rabadão, Carlos |
author_role |
author |
author2 |
Guerreiro, Vitor Loureiro, Paulo Costa, Paulo Mendes, Sílvio Rabadão, Carlos |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
IC-Online |
dc.contributor.author.fl_str_mv |
Gaspar, Francisco Guerreiro, Vitor Loureiro, Paulo Costa, Paulo Mendes, Sílvio Rabadão, Carlos |
dc.subject.por.fl_str_mv |
ITS applications C-ITS ITS-G5 802.11p Computer vision Pattern detection Artificial intelligence |
topic |
ITS applications C-ITS ITS-G5 802.11p Computer vision Pattern detection Artificial intelligence |
description |
Human errors are probably the main cause of car accidents, and this type of vehicle is one of the most dangerous forms of transport for people. The danger comes from the fact that on public roads there are simultaneously different types of actors (drivers, pedestrians or cyclists) and many objects that change their position over time, making difficult to predict their immediate movements. The intelligent transport system (ITS-G5) standard specifies the European communication technologies and protocols to assist public road users, providing them with relevant information. The scientific community is developing ITS-G5 applications for various purposes, among which is the increasing of pedestrian safety. This paper describes the developed work to implement an ITS-G5 prototype that aims at the increasing of pedestrian and driver safety in the vicinity of a pedestrian crosswalk by sending ITS-G5 decentralized environmental notification messages (DENM) to the vehicles. These messages are analyzed, and if they are relevant, they are presented to the driver through a car’s onboard infotainment system. This alert allows the driver to take safety precautions to prevent accidents. The implemented prototype was tested in a controlled environment pedestrian crosswalk. The results showed the capacity of the prototype for detecting pedestrians, suitable message sending, the reception and processing on a vehicle onboard unit (OBU) module and its presentation on the car onboard infotainment system. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 2020-01-01T00:00:00Z 2021-07-29T10:08:03Z |
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 |
http://hdl.handle.net/10400.8/5958 |
url |
http://hdl.handle.net/10400.8/5958 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Gaspar, F.; Guerreiro, V.; Loureiro, P.; Costa, P.; Mendes, S.; Rabadão, C. Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies. Information 2020, 11, 503. https://doi.org/10.3390/info11110503 2078-2489 10.3390/info11110503 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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 instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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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1799136985581879296 |