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How Does C-V2X Help Autonomous Driving to Avoid Accidents?

Accidents are continuously reported for autonomous driving vehicles including those with advanced sensors installed. Some of accidents are usually caused by bad weather, poor lighting conditions and non-line-of-sight obstacles. Cellular Vehicle-to-Everything (C-V2X) radio technology can significantl...

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Detalles Bibliográficos
Autores principales: Miao, Lili, Chen, Shang-Fu, Hsu, Yu-Ling, Hua, Kai-Lung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779724/
https://www.ncbi.nlm.nih.gov/pubmed/35062647
http://dx.doi.org/10.3390/s22020686
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author Miao, Lili
Chen, Shang-Fu
Hsu, Yu-Ling
Hua, Kai-Lung
author_facet Miao, Lili
Chen, Shang-Fu
Hsu, Yu-Ling
Hua, Kai-Lung
author_sort Miao, Lili
collection PubMed
description Accidents are continuously reported for autonomous driving vehicles including those with advanced sensors installed. Some of accidents are usually caused by bad weather, poor lighting conditions and non-line-of-sight obstacles. Cellular Vehicle-to-Everything (C-V2X) radio technology can significantly improve those weak spots for autonomous driving. This paper describes one of the C-V2X system solutions: Vulnerable Road User Collision Warning (VRUCW) for autonomous driving. The paper provides the system architecture, design logic, network topology, message flow, artificial intelligence (AI) and network security feature. As a reference it also includes a commercial project with its test results.
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spelling pubmed-87797242022-01-22 How Does C-V2X Help Autonomous Driving to Avoid Accidents? Miao, Lili Chen, Shang-Fu Hsu, Yu-Ling Hua, Kai-Lung Sensors (Basel) Review Accidents are continuously reported for autonomous driving vehicles including those with advanced sensors installed. Some of accidents are usually caused by bad weather, poor lighting conditions and non-line-of-sight obstacles. Cellular Vehicle-to-Everything (C-V2X) radio technology can significantly improve those weak spots for autonomous driving. This paper describes one of the C-V2X system solutions: Vulnerable Road User Collision Warning (VRUCW) for autonomous driving. The paper provides the system architecture, design logic, network topology, message flow, artificial intelligence (AI) and network security feature. As a reference it also includes a commercial project with its test results. MDPI 2022-01-17 /pmc/articles/PMC8779724/ /pubmed/35062647 http://dx.doi.org/10.3390/s22020686 Text en © 2022 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 Review
Miao, Lili
Chen, Shang-Fu
Hsu, Yu-Ling
Hua, Kai-Lung
How Does C-V2X Help Autonomous Driving to Avoid Accidents?
title How Does C-V2X Help Autonomous Driving to Avoid Accidents?
title_full How Does C-V2X Help Autonomous Driving to Avoid Accidents?
title_fullStr How Does C-V2X Help Autonomous Driving to Avoid Accidents?
title_full_unstemmed How Does C-V2X Help Autonomous Driving to Avoid Accidents?
title_short How Does C-V2X Help Autonomous Driving to Avoid Accidents?
title_sort how does c-v2x help autonomous driving to avoid accidents?
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779724/
https://www.ncbi.nlm.nih.gov/pubmed/35062647
http://dx.doi.org/10.3390/s22020686
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