DOI QR코드

DOI QR Code

A Study on Simulation Based Fault Injection Test Scenario and Safety Measure Time of Autonomous Vehicle Using STPA

STPA를 활용한 자율주행자동차의 시뮬레이션 기반 오류 주입 시나리오 및 안전조치 시간 연구

  • Ahn, Dae-ryong (Smart Driving Contro R&D Center, Korea Automotive Technology Institute) ;
  • Shin, Seong-geun (Smart Driving Contro R&D Center, Korea Automotive Technology Institute) ;
  • Baek, Yun-soek (Smart Driving Contro R&D Center, Korea Automotive Technology Institute) ;
  • Lee, Hyuck-kee (Smart Driving Contro R&D Center, Korea Automotive Technology Institute) ;
  • Park, Ki-hong (School of Automotive Eng, Kookmin University) ;
  • Choi, In-seong (Autonomous Vehicle R&D Team, Korea Automobile Testing and Research Institute)
  • 안대룡 (자동차부품연구원 스마트운전제어연구센터) ;
  • 신성근 (자동차부품연구원 스마트운전제어연구센터) ;
  • 백윤석 (자동차부품연구원 스마트운전제어연구센터) ;
  • 이혁기 (자동차부품연구원 스마트운전제어연구센터) ;
  • 박기홍 (국민대학교 자동차공학과) ;
  • 최인성 (교통안전공단 자동차안전연구원 자율주행실)
  • Received : 2019.03.04
  • Accepted : 2019.04.03
  • Published : 2019.04.30

Abstract

As the importance of autonomous vehicle safety is emphasized, the application of ISO-26262, a development verification guideline for improving safety and reliability, and the safety verification of autonomous vehicles are becoming increasingly important, in particular, SAE standard level 3 or higher level autonomous vehicles detect and decision the surrounding environment instead of the human driver. Therefore, if there is and failure or malfunction in the autonomous driving function, safety may be seriously affected. So autonomous vehicles, it is essential to apply and verity the safety concept against failure and malfunctions. In this study, we study the fault injection scenarios for safety evaluation and verification of autonomous vehicles using ISO-26262 part3 process and STPA were studied and safety measures for safety concept design were studied through simulation bases fault injection test.

자율주행자동차의 안전에 대한 중요성이 강조되면서 안전성 및 신뢰성 향상을 위한 개발 검증 지침인 ISO-26262의 적용과 자율주행자동차의 안전성 검증에 대한 중요성이 높아지고 있다. 특히 미국자동차공학회 기준 Level 3 이상의 자율주행자동차는 운전자 대신 주변 환경을 감지하고 판단한다. 따라서 자율주행 기능에 이상이 생기거나 오작동 발생 시 안전에 심각한 영향을 미칠 수 있으므로 자율주행자동차는 고장 및 오작동에 대비하여 안전개념을 적용하고 이를 검증해야 한다. 본 연구에서는 ISO-26262 Part3 프로세스와 시스템 이론적 프로세스 분석 방법론인 STPA를 활용하여 자율주행자동차의 안전성 평가 및 검증을 위한 오류 주입 시나리오를 연구하고 시뮬레이션 기반의 오류 주입 테스트를 통해 안전개념 설계를 위한 안전조치 시간을 연구하였다.

Keywords

References

  1. Chae H. S., Jeong Y. H., Yi K. S., Choi I. S. and Min K. C.(2016), "Safety Performance Evaluation Scenarios for Extraordinary Service Permission of Autonomous Vehicle," Transactions of KSAE, vol. 24, no. 5, pp.495-503. https://doi.org/10.7467/KSAE.2016.24.5.495
  2. Chu K. Y., Han J. H., Lee M. C., Kim D. C. and Sunwoo M. H.(2011), "Development of an Autonomous Vehicle: AI," Transactions of KSAE, vol. 19, no. 4, pp.146-154.
  3. Hwang J. G., Jo H. J., Han C. H., Cho W. S., Ahn J. and Ha D. M.(2010), "A Study on the Hazop-KR for Hazard Analysis of Train Control Systems," Journal of the Korean Society for Railway, vol. 13, no. 4, pp.396-403.
  4. ISO-22179(2009), Intelligent transport systems - Full speed range adaptive cruise control(FSRA) systems - Performance requirements and test procedures.
  5. ISO-26262-1, "Road vehicles - Functional safety - Part 1: Vocabulary," 2018, 12.
  6. J3016(2016), Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles.
  7. Kang M. W., Son B. S., Dho C. U. and Kang J. K.(2002), "Development of Accident Prediction Models at Freeway Curve Section Based on Geometric Characteristics," Journal of the Korean Society of Civil Engineers, vol. 22, no. 6D, pp.1077-1088.
  8. Kim D. Y., Lim J. H., Lee H. K., Choi I. S., Shin J. K., Hong Y. S. and Park K. H.(2017), "Development of Fault Injection Simulation Environment for ADAS Systems and Cases Studies of Fail-Safety Evaluation," Transaction of KSAE, vol. 25, no. 6, pp.767-777. https://doi.org/10.7467/KSAE.2017.25.6.767
  9. Wanner D., Drugge L. and Trigell A. S.(2017), "Fault Classification Method for the Driving Safety of Electrified Vehicles," International Journal of Vehicle Mechanics and Mobility, vol. 52, no. 5, pp.704-732.
  10. Yang H. S. and Kwon G. H.(2017), "STAMP/STPA applied train software safety analysis case study," Korea Software Conference Proceeding, pp.607-609.