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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-8779724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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