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자율주행 차량의 실도로 주행을 위한 안전 시나리오 기반 인간중심 시스템 성능평가

Toward Real-world Adoption of Autonomous Driving Vehicle on Public Roadways: Human-Centered Performance Evaluation with Safety Critical Scenarios

  • 국윤영 (서울대학교 공과대학 기계공학부) ;
  • 이경수 (서울대학교 공과대학 기계공학부)
  • 투고 : 2022.03.02
  • 심사 : 2023.06.20
  • 발행 : 2023.06.30

초록

For the commercialization and standardization of autonomous vehicles, demand for rigorous safety criteria has been increased over the world. In Korea, the number of extraordinary service permission for automated vehicles has risen since Hyundai Motor Company got its initial license in March 2016. Nevertheless, licensing standards and evaluation factors are still insufficient for operating on public roadways. To assure driving safety, it is significant to verify whether or not the vehicle's decision is similar to human driving. This paper validates the safety of the autonomous vehicle by drawing scenario-based comparisons between manual driving and autonomous driving. In consideration of real traffic situations and safety priority, seven scenarios were chosen and classified into basic and advanced scenarios. All scenarios and safety factors are constructed based on existing ADAS requirements and investigated via a computer simulation and actual experiment. The input data was collected by an experimental vehicle test on the SNU FMTC test track located at Siheung. Then the offline simulation was conducted to verify the output was appropriate and comparable to the manual driving data.

키워드

과제정보

본 연구는 국토교통부/국토교통과학기술진흥원의 지원으로 수행되었음(과제번호 21AMDP-C162182-01).

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