A retargetable fault injection framework for safety validation of autonomous vehicles

Yuting Fu; Andrei Terechko; Tjerk Bijlsma; Pieter J.L. Cuijpers; Jeroen Redegeld; Ali Osman Ors

doi:10.1109/ICSA-C.2019.00020

A retargetable fault injection framework for safety validation of autonomous vehicles

Yuting Fu, Andrei Terechko, Tjerk Bijlsma, Pieter J.L. Cuijpers, Jeroen Redegeld, Ali Osman Ors

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

11 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2019 IEEE International Conference on Software Architecture - Companion, ICSA-C 2019
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	69-76
Number of pages	8
ISBN (Electronic)	978-1-7281-1876-5
DOIs	https://doi.org/10.1109/ICSA-C.2019.00020
Publication status	Published - 9 May 2019
Event	2019 IEEE International Conference on Software Architecture Companion, ICSA-C 2019 - Hamburg, Germany Duration: 25 Mar 2019 → 29 Mar 2019 https://swk-www.informatik.uni-hamburg.de/~icsa2019/index.html

Conference

Conference	2019 IEEE International Conference on Software Architecture Companion, ICSA-C 2019
Abbreviated title	ICSA2019
Country/Territory	Germany
City	Hamburg
Period	25/03/19 → 29/03/19
Internet address	https://swk-www.informatik.uni-hamburg.de/~icsa2019/index.html

Keywords

Automotive Systems
Autonomous Driving
Debugger Interface
Fault Injection
Functional Safety
ISO 26262
NXP BlueBox Prototyping Platform

Access to Document

10.1109/ICSA-C.2019.00020

Cite this

Fu, Y., Terechko, A., Bijlsma, T., Cuijpers, P. J. L., Redegeld, J., & Ors, A. O. (2019). A retargetable fault injection framework for safety validation of autonomous vehicles. In 2019 IEEE International Conference on Software Architecture - Companion, ICSA-C 2019 (pp. 69-76). Article 8712351 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICSA-C.2019.00020

@inproceedings{19d5d6d3c3c949f0b40bb1d0cca09828,

title = "A retargetable fault injection framework for safety validation of autonomous vehicles",

abstract = "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.",

keywords = "Automotive Systems, Autonomous Driving, Debugger Interface, Fault Injection, Functional Safety, ISO 26262, NXP BlueBox Prototyping Platform",

author = "Yuting Fu and Andrei Terechko and Tjerk Bijlsma and Cuijpers, {Pieter J.L.} and Jeroen Redegeld and Ors, {Ali Osman}",

year = "2019",

month = may,

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doi = "10.1109/ICSA-C.2019.00020",

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booktitle = "2019 IEEE International Conference on Software Architecture - Companion, ICSA-C 2019",

publisher = "Institute of Electrical and Electronics Engineers",

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note = "2019 IEEE International Conference on Software Architecture Companion, ICSA-C 2019, ICSA2019 ; Conference date: 25-03-2019 Through 29-03-2019",

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Fu, Y, Terechko, A, Bijlsma, T, Cuijpers, PJL, Redegeld, J & Ors, AO 2019, A retargetable fault injection framework for safety validation of autonomous vehicles. in 2019 IEEE International Conference on Software Architecture - Companion, ICSA-C 2019., 8712351, Institute of Electrical and Electronics Engineers, Piscataway, pp. 69-76, 2019 IEEE International Conference on Software Architecture Companion, ICSA-C 2019, Hamburg, Germany, 25/03/19. https://doi.org/10.1109/ICSA-C.2019.00020

A retargetable fault injection framework for safety validation of autonomous vehicles. / Fu, Yuting; Terechko, Andrei; Bijlsma, Tjerk et al.
2019 IEEE International Conference on Software Architecture - Companion, ICSA-C 2019. Piscataway: Institute of Electrical and Electronics Engineers, 2019. p. 69-76 8712351.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Redegeld, Jeroen

AU - Ors, Ali Osman

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AB - 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.

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KW - Functional Safety

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T2 - 2019 IEEE International Conference on Software Architecture Companion, ICSA-C 2019

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ER -

A retargetable fault injection framework for safety validation of autonomous vehicles

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