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A Safety Analysis and Verification Framework for Autonomous Vehicles Based on the Identification of Triggering Events
Technical Paper
2021-01-5010
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
For high-level autonomous vehicles, under many circumstances, accidents are not
caused by functional failures, but by system performance limitations and human
misuses. ISO 21448 defines this kind of safety issue as safety of the intended
functionality (SOTIF). However, most of SOTIF-related researches focus on hazard
identification and risk evaluation, as well as verification and validation.
There is still lack of public systematic identification method for triggering
events. Therefore, this paper proposes an identification framework for
triggering events which are related to system performance limitations and human
misuses. In the aspect of system performance limitations, there are four steps,
which are the specification of the research target, the analysis of influencing
factors, the identification of triggering events, and the verification test. In
the aspect of human misuses, triggering events can be identified based on the
guide words for human error. Furthermore, based on the identification of
triggering events, a safety analysis and verification framework for both
high-level and low-level autonomous vehicles is proposed. The proposed framework
contains five steps, which are hazard identification and risk evaluation, the
identification of triggering events, the generation of test cases, test and
results analysis, and the derivation of functional safety requirements. Besides,
a SAE L3 autonomous vehicle is analyzed and corresponding tests are conducted.
Two tests are illustrated in detail in this paper, which involve triggering
events related to system performance limitations and human misuses,
respectively. And the results show that the two triggering events could both
lead to effective hazardous events, which proves the feasibility of the proposed
framework.
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Authors
Citation
Huang, A., Xing, X., Zhou, T., and Chen, J., "A Safety Analysis and Verification Framework for Autonomous Vehicles Based on the Identification of Triggering Events," SAE Technical Paper 2021-01-5010, 2021, https://doi.org/10.4271/2021-01-5010.Data Sets - Support Documents
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References
- International Organization for Standardization 2019
- Warg , F. et al. Defining Autonomous Functions Using Iterative Hazard Analysis and Requirements Refinement SASSUR 2016 Workshop Springer International Publishing 2016 10.1007/978-3-319-45480-1_23
- Sini , J. and Violante , M. A Simulation-Based Methodology for Aiding Advanced Driver Assistance Systems Hazard Identification and Risk Evaluation Microelectronics Reliability 109 113661 2020 10.1016/j.microrel.2020.113661
- Khastgir , S. et al. Introducing ASIL Inspired Dynamic Tactical Safety Decision Framework for Automated Vehicles 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) 2017 10.1109/ITSC.2017.8317868
- Johansson , R. The Importance of Active Choices in Hazard Identification and Risk Evaluation CARS2015—Critical Automotive applications: Robustness & Safety Paris, France 2015
- Zhang , X. , Shao , W. , Zhou , M. , Tan , Q. et al. A Scene Comprehensive Safety Evaluation Method Based on Binocular Camera Robotics and Autonomous Systems 128 2020 10.1016/j.robot.2020.103503
- Elgharbawy , M. , Scherhaufer , I. , Oberhollenzer , K. et al. Adaptive Functional Testing for Autonomous Trucks International Journal of Transportation Science and Technology 8 2 202 218 2019 10.1016/j.ijtst.2018.11.003
- Shiliang , S. , Haifeng , C. , Mengge , G. et al. Application of Automatic Testing in SOTIF Development Automobile Technology 23 26 2018 10.19620/j.cnki.1000-3703.20180441
- Hemmati , M. and Rashtchi , V. A Study on the Refractive Effect of Glass in Vision Systems 19 25 2019 10.1109/PRIA.2019.8785995
- Nurminen , J.K. , Halvari , T. , Harviainen , J. et al. Software Framework for Data Fault Injection to Test Machine Learning Systems 2019 IEEE International Symposium on Software Reliability Engineering Workshops 2019 10.1109/ISSREW.2019.00087
- Rosenberger , P. , Holder , M. , Zirulnik , M. et al. Analysis of Real World Sensor Behavior for Rising Fidelity of Physically Based Lidar Sensor Models IEEE 2018 IEEE Intelligent Vehicles Symposium (IV) Changshu, China 2018 10.1109/IVS.2018.8500511
- Heinzler , R. , Schindler , P. , Seekircher , J. et al. Weather Influence and Classification with Automotive Lidar Sensors 2019 IEEE Intelligent Vehicles Symposium (IV) 2019 10.1109/IVS.2019.8814205
- Wu , X. , Meng , H. , Xing , X. , and Chen , J. Edge Test Case Generation of Automatic Driving System Journal of Tongji University (Natural Science) 46 S1 111 115 2018
- Qureshi , Z.H. A Review of Accident Modelling Approaches for Complex Socio-Technical Systems Scs 07 Twelfth Australian Workshop on Safety Critical Systems & Software & Safety-Related Programmable Systems 47 59 2007
- Bagschik , G. , Reschka , A. , Stolte , T. et al. Identification of Potential Hazardous Events for an Unmanned Protective Vehicle 2016 IEEE Intelligent Vehicles Symposium (IV) 2016 10.1109/IVS.2016.7535462
- Mahajan , H.S. , Bradley , T. , and Pasricha , S. Application of Systems Theoretic Process Analysis to a Lane Keeping Assist System Reliability Engineering & System Safety 167 177 183 2017 10.1016/j.ress.2017.05.037
- Bagschik , G. , Stolte , T. , and Maurer , M. Safety Analysis Based on Systems Theory Applied to an Unmanned Protective Vehicle Procedia Engineering 179 61 71 2017 10.1016/j.proeng.2017.03.096
- International Organization for Standardization 2011
- Junyi , C. , Tangrui , Z. , Xingyu , X. , and Lu , X. Research on Safety Analysis Method for Autonomous Vehicles Based on STPA Automobile Technology 1 5 2019