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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Main Authors: Lili Miao, Shang-Fu Chen, Yu-Ling Hsu, Kai-Lung Hua
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/2/686
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author Lili Miao
Shang-Fu Chen
Yu-Ling Hsu
Kai-Lung Hua
author_facet Lili Miao
Shang-Fu Chen
Yu-Ling Hsu
Kai-Lung Hua
author_sort Lili Miao
collection DOAJ
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 doaj.art-4f2a1bf62977440a8f45f0ba719e5a142023-11-23T15:22:47ZengMDPI AGSensors1424-82202022-01-0122268610.3390/s22020686How Does C-V2X Help Autonomous Driving to Avoid Accidents?Lili Miao0Shang-Fu Chen1Yu-Ling Hsu2Kai-Lung Hua3Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106, TaiwanDepartment of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106, TaiwanDepartment of Industrial Management, National Taiwan University of Science and Technology, Taipei 106, TaiwanDepartment of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106, TaiwanAccidents 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.https://www.mdpi.com/1424-8220/22/2/686C-V2Xautonomous drivingPC5RSUOBUVRUCW
spellingShingle Lili Miao
Shang-Fu Chen
Yu-Ling Hsu
Kai-Lung Hua
How Does C-V2X Help Autonomous Driving to Avoid Accidents?
Sensors
C-V2X
autonomous driving
PC5
RSU
OBU
VRUCW
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 C-V2X
autonomous driving
PC5
RSU
OBU
VRUCW
url https://www.mdpi.com/1424-8220/22/2/686
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