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CarFASE: A Carla-based Tool for Evaluating the Effects of Faults and Attacks on Autonomous Driving Stacks
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability.ORCID iD: 0000-0002-6217-0828
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability.ORCID iD: 0000-0002-1559-7896
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability.ORCID iD: 0000-0001-9536-4269
2023 (English)In: 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), Institute of Electrical and Electronics Engineers (IEEE), 2023, p. 92-99Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents CarFASE, an open-source carla-based fault and attack simulation engine that is used to test and evaluate the behavior of autonomous driving stacks in the presence of faults and attacks. Carla is a highly customizable and adaptable simulator for autonomous driving research. In this paper, we demonstrate the application of CarFASE by running fault injection experiments on OpenPilot, an open-source advanced driver assistance system designed to provide a suite of features such as lane keeping, adaptive cruise control, and forward collision warning to enhance the driving experience. A braking scenario is used to study the behavior of OpenPilot in the presence of brightness and salt&pepper faults. The results demonstrate the usefulness of the tool in evaluating the safety attributes of autonomous driving systems in a safe and controlled environment.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023. p. 92-99
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ri:diva-66359DOI: 10.1109/dsn-w58399.2023.00036OAI: oai:DiVA.org:ri-66359DiVA, id: diva2:1794497
Conference
53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)
Note

This work was supported by VALU3S project, which has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 876852. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Austria, Czech Republic, Germany, Ireland, Italy, Portugal, Spain, Sweden, Turkey

Available from: 2023-09-05 Created: 2023-09-05 Last updated: 2023-09-05Bibliographically approved

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Maleki, MehdiFarooqui, AshfaqSangchoolie, Behrooz

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