고장차량 감지를 위한 V2V 통신 기반 응용 서비스 구현
Implementation of V2V Communication-Based Application Service for Detecting Vehicles
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초록
본 연구는 V2V(Vehicle-to-Vehicle) 통신 기반의 전방 고장 차량 감지 시스템을 구현하기 위해 센서 기술과 정밀 위치 정보 수집 방식을 결합한 안전 증진 방안을 제시하였다. 라이다, 레이다, 카메라를 활용한 객체 인식과 센서 융합을 통해 정확한 환경 및위치 정보를 생성하고, 이를 V2V 통신으로 후방 차량에 실시간으로 전달함으로써 고장 및 사고 차량의 위치를 효과적으로 공유한다. 본 연구에서 제안하는 시스템은 다수 차량에 정보를 브로드캐스팅을 통해 효율적으로 전달하며, 최적화된 경로와 안전 경고 기능을 통해 운전자의 대응 능력을 높여 교통 안전성을 강화한다. 본 연구는 V2V 통신이 자율주행 차량 및 스마트 교통 시스템의 핵심 기술임을 확인하였으며, 조기 경고와 사고 예방에 실질적 효과가 있음을 검증하였다.
Abstract
This study proposed a safety enhancement plan that combines advanced sensor technology and a preciselocation information collection method to implement a V2V (Vehicle-to-Vehicle) communication-based forwardfault vehicle detection system. Accurate environmental and location information is created through objectrecognition and sensor fusion using LiDAR, RADAR and cameras, and the location of fault and accident vehiclesis effectively shared by delivering this in real-time to the rear vehicles through V2V communication. The systemproposed in this study is efficiently delivered to many vehicles through broadcasting, and traffic safety isstrengthened by increasing the driver's ability to respond through optimized routes and safety warning functions. This study confirmed that V2V communication is a core technology of autonomous vehicles and smarttransportation systems, and verified that it has a practical effect on early warning and accident prevention.
참고문헌 (9)
- Traffic Safety Facts 2020: Crash Statistics Report, "National Highway Traffic Safety Administration", ~ (2021)
- Smith, J., "A Review of Fault Detection Systems in Intelligent Transportation Networks", Journal of Transportation Engineering, 145(3), pp.233~245 (2019)
- S. Brown, "The Limitiations of Centralized Vehicle Fault Detection Systems", International Journal of Smart Driving Systems, 11(4), pp.199~210 (2019)
- X. Wang, "Real-time Vehicleto-Vehicle Communication in Autonomous Driving", Journal of Autonomous Driving Technology, 3(1), pp.23~34 (2022)
- Sungwoo Jeon, "YOLO-based lane detectin system", Journal of the Korea Institute of Information and Communication Engineering, 25(3), pp.464~470 (2021)[DOI]
- SAE, "SAE Levels of Driving Automation™Refined for Clarity and International Audience", ~ (2021)
- Jangkyun Paik, "KDB Monthly Report Issue 771", ~ (2020)
- Y. I Shim, "Collision Avoidance System by The Vehicle to Vehicle(V2V)Communication System", Proceedings of The Korean Society of Marine Engineering, pp.267~267 (2012)
- SAE J2735standard: applying the systems engineering process, "R. Sumner", United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, ~, pp.No. FHWA-JPO-13-046 (2013)