The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Evaluation of Accident Prevention Performance of Vision and Radar Sensor for Major Accident Scenarios in Intersection

교차로 주요 사고 시나리오에 대한 비전 센서와 레이더 센서의 사고 예방성능 평가

  • Kim, Yeeun (Dept. of Civil & Environmental Eng., KAIST) ;
  • Tak, Sehyun (Dept. of Civil & Environmental Eng., KAIST) ;
  • Kim, Jeongyun (Dept. of Civil & Environmental Eng., KAIST) ;
  • Yeo, Hwasoo (Dept. of Civil & Environmental Eng., KAIST)
  • 김예은 (한국과학기술원 건설 및 환경공학과) ;
  • 탁세현 (한국과학기술원 건설 및 환경공학과) ;
  • 김정윤 (한국과학기술원 건설 및 환경공학과) ;
  • 여화수 (한국과학기술원 건설 및 환경공학과)
  • Received : 2017.08.29
  • Accepted : 2017.10.18
  • Published : 2017.10.31
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Abstract

The current collision warning and avoidance system(CWAS) is one of the representative Advanced Driver Assistance Systems (ADAS) that significantly contributes to improve the safety performance of a vehicle and mitigate the severity of an accident. However, current CWAS mainly have focused on preventing a forward collision in an uninterrupted flow, and the prevention performance near intersections and other various types of accident scenarios are not extensively studied. In this paper, the safety performance of Vision-Sensor (VS) and Radar-Sensor(RS) - based collision warning systems are evaluated near an intersection area with the data from Naturalistic Driving Study(NDS) of Second Strategic Highway Research Program(SHRP2). Based on the VS and RS data, we newly derived sixteen vehicle-to-vehicle accident scenarios near an intersection. Then, we evaluated the detection performance of VS and RS within the derived scenarios. The results showed that VS and RS can prevent an accident in limited situations due to their restrained field-of-view. With an accident prevention rate of 0.7, VS and RS can prevent an accident in five and four scenarios, respectively. For an efficient accident prevention, a different system that can detect vehicles'movement with longer range than VS and RS is required as well as an algorithm that can predict the future movement of other vehicles. In order to further improve the safety performance of CWAS near intersection areas, a communication-based collision warning system such as integration algorithm of data from infrastructure and in-vehicle sensor shall be developed.

기존의 첨단 운전자 지원 시스템 (Advanced Driver Assistance System, ADAS)들은 전방 위험탐지와 같은 한정적 상황에서의 사고 예방에 집중하고 있어 다양한 사고 시나리오가 존재하는 교차로에 적용하기에는 한계를 가지고 있다. 또한 기존 연구는 주로 사고 요인 분석에 집중하고 있어 첨단 운전자 지원 시스템의 사고 예방 성능에 관한 연구는 미비한 편이다. 이에 본 연구에서는 비전 및 레이더 센서 기반 첨단 운전자 지원 시스템의 다양한 교차로 사고 예방에 대한 성능을 평가하고 대책을 마련하고자 한다. 이를 위하여 미국의 Second Strategic Highway Research Program(SHRP2)의 naturalistic driving study(NDS)에서 수집된 사고/준사고 상황의 거리 측정 데이터를 기반으로 16개의 교차로 사고 시나리오를 도출하였고, 총 363건의 차량과 차량 간 사고를 분석하였다. 분석 결과 16개의 사고 시나리오 중 0.7의 사고 예방율을 기준으로 카메라 기반 시스템은 5개, 레이더 기반 시스템은 4개의 사고 시나리오에서 사고를 예방할 수 있었다.

Keywords

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