Academic Journal

A retargetable fault injection framework for safety validation of autonomous vehicles

التفاصيل البيبلوغرافية
العنوان: A retargetable fault injection framework for safety validation of autonomous vehicles
المؤلفون: Fu, Y., Terechko, A., Bijlsma, T., Cuijners, P.J.L., Redegeld, J., Ors, A.O.
المصدر: Proceedings 2019 IEEE International Conference on Software Architecture, ICSA-C 2019, 25-29 March 2019, Hamburg, Germany, 69-76
بيانات النشر: Institute of Electrical and Electronics Engineers IEEE
سنة النشر: 2019
المجموعة: TU Delft: Institutional Repository (Delft University of Technology)
مصطلحات موضوعية: Automotive Systems, Autonomous Driving, Debugger Interface, Fault Injection, Functional Safety, ISO 26262, NXP BlueBox Prototyping Platform, Industrial Innovation
الوصف: Autonomous vehicles use Electronic Control Units running complex software to improve passenger comfort and safety. To test safety of in-vehicle electronics, the ISO 26262 standard on functional safety recommends using fault injection during component and system-level design. A Fault Injection Framework (FIF) induces hard-to-trigger hardware and software faults at runtime, enabling analysis of fault propagation effects. The growing number and complexity of diverse interacting components in vehicles demands a versatile FIF at the vehicle level. In this paper, we present a novel retargetable FIF based on debugger interfaces available on many target systems. We validated our FIF in three Hardware-In-the-Loop setups for autonomous driving based on the NXP BlueBox prototyping platform. To trigger a fault injection process, we developed an interactive user interface based on Robot Operating System, which also visualized vehicle system health. Our retargetable debugger-based fault injection mechanism confirmed safety properties and identified safety shortcomings of various automotive systems.
نوع الوثيقة: article in journal/newspaper
اللغة: English
ردمك: 978-1-72811-876-5
1-72811-876-X
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رقم الانضمام: edsbas.326843C
قاعدة البيانات: BASE
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