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

Lili Miao1, Shang-Fu Chen1, Yu-Ling Hsu2

  • 1Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.

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|January 22, 2022
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Summary
This summary is machine-generated.

Cellular Vehicle-to-Everything (C-V2X) technology enhances autonomous driving safety by addressing limitations like bad weather and obstacles. This paper details a Vulnerable Road User Collision Warning system using C-V2X to improve autonomous vehicle perception and prevent accidents.

Keywords:
AIC-V2XOBUPC5RSUVRUCWautonomous driving

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Area of Science:

  • Automotive Engineering
  • Wireless Communication Systems
  • Artificial Intelligence in Transportation

Background:

  • Autonomous driving systems face safety challenges due to adverse weather, poor lighting, and non-line-of-sight obstacles.
  • Current sensor limitations in autonomous vehicles necessitate complementary technologies for enhanced situational awareness.

Purpose of the Study:

  • To present a Cellular Vehicle-to-Everything (C-V2X) based Vulnerable Road User Collision Warning (VRUCW) system for autonomous driving.
  • To detail the system architecture, design logic, network topology, and message flow of the proposed VRUCW solution.

Main Methods:

  • Description of the C-V2X system architecture and its integration for collision warning.
  • Explanation of the artificial intelligence (AI) algorithms and network security features implemented.
  • Inclusion of a commercial project case study with performance test results.

Main Results:

  • The C-V2X VRUCW system demonstrates potential to mitigate accidents caused by environmental and visibility limitations.
  • The proposed system architecture and AI integration provide a robust framework for enhanced autonomous driving safety.
  • Commercial project testing validates the system's effectiveness in real-world scenarios.

Conclusions:

  • C-V2X technology offers a significant improvement for autonomous driving safety, particularly in challenging conditions.
  • The VRUCW system effectively addresses critical weaknesses in current autonomous vehicle perception.
  • The presented solution provides a viable pathway for developing safer and more reliable autonomous driving systems.