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Development of Collision Prevention Usage Scenario based on Vehicle-to-Vehicle Communication of Autonomous Vehicles

자율주행 차량의 차량 대 차량 통신에 기반한 충돌방지 활용 시나리오 개발

  • Seo, HyunDuk (Dept. of Computer Engineering, Hoseo University) ;
  • Kwon, Doyoung (Dept. of Computer Engineering, Hoseo University) ;
  • Shin, Jaemin (Dept. of Computer Engineering, Hoseo University) ;
  • Choi, Eunhyuk (Dept. of Computer Engineering, Hoseo University) ;
  • Lim, Huhnkuk (Dept. of Computer Engineering, Hoseo University)
  • Received : 2021.12.21
  • Accepted : 2022.02.03
  • Published : 2022.02.28

Abstract

Self-driving vehicles are a type of smart vehicle with the help of ICT technology, which means a vehicle that operates without the intervention of a driver.Vehicles with vehicle safety communication technology (V2X) applied use information detected from various sensors or other vehicles/infrastructures to enable the smart vehicle to accurately and quickly predict the driver's potential danger situation, contributing to more stable autonomous driving. In this paper, among V2X communication technologies, a vehicle-to-vehicle communication (V2V) simulation communication technology is used to present a scenario for preventing collisions in autonomous vehicles. A vehicle collision prevention system based on V2V simulated communication was implemented and the suggested collision prevention application scenario was demonstrated. The suggested collision prevention utilization scenario can be considered as one application case of V2V communication technologies that are currently being developed/applied.

자율주행 차량은 ICT 기술의 도움으로, 운전자의 개입 없이 운행되는 차량을 의미하며 스마트 차량의 한 종류이다. 차량 안전 통신 기술(V2X)이 적용된 차량은 다양한 센서 혹은 타 차량/인프라에서 감지된 정보를 이용하여 운전자의 잠재적 위험 상황을 스마트 차량 스스로가 확실하고 빠르게 예측하도록 하여 보다 안정한 자율주행이 가능하도록 하는데 기여한다. 본 논문에서는 이러한 V2X 통신 기술 중 차량 대 차량 통신(V2V) 모사 통신 기술을 이용하여 자율주행 차량의 충돌 방지 활용 시나리오를 제시하고자 한다. V2V 모사 통신 기반 차량 충돌방지 시스템을 구현하였고 이를 이용하여 제시한 충돌 방지 활용 시나리오를 시연하였다. 제시된 충돌 방지 활용 시나리오는 현재에도 개발/적용을 위해 노력 중인 V2V 통신 기술의 하나의 응용 사례로 고려될 수 있을 것이다.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(Ministry of Science and ICT) (No. 2021R1A2C1010481)

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