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Development and Validation of Safety Performance Evaluation Scenarios of Autonomous Vehicle based on Driving Data

주행데이터 기반 자율주행 안전성 평가 시나리오 개발 및 검증

  • 임형호 (서울대학교 기계항공공학부) ;
  • 채흥석 (서울대학교 기계항공공학부) ;
  • 이명수 (교통안전공단 자동차안전연구원) ;
  • 이경수 (서울대학교 기계항공공학부)
  • Received : 2017.05.26
  • Accepted : 2017.12.12
  • Published : 2017.12.31

Abstract

As automotive industry develops, the demand for increasing traffic safety is growing. Lots of researches about vehicle convenience and safety technology have been implemented. Now, the autonomous driving test is being conducted all over the world, and the autonomous driving regulations are also being developed. Autonomous vehicles are being commercialized, but autonomous vehicle safety has not been guaranteed yet. This paper presents scenarios that assess the safety of autonomous vehicles by identifying the minimum requirements to ensure safety for a variety of situations on highway. In assessing driving safety, seven scenarios were totally selected. Seven scenarios were related to lane keeping and lane change performance in certain situations. These scenarios were verified by analyzing the driving data acquired through actual vehicle driving. Data analysis was implemented via computer simulation. These scenarios are developed based on existing ADAS evaluation and simulation of autonomous vehicle algorithm. Also Safety evaluation factors are developed based on ISO requirements, other papers and the current traffic regulations.

Keywords

References

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