AVFI: Fault Injection for Autonomous Vehicles
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Abstract (arXiv)
Autonomous vehicle (AV) technology is rapidly becoming a reality on U.S. roads, offering the promise of improvements in traffic management, safety, and the comfort and efficiency of vehicular travel. With this increasing popularity and ubiquitous deployment, resilience has become a critical requirement for public acceptance and adoption. Recent studies into the resilience of AVs have shown that though the AV systems are improving over time, they have not reached human levels of automation. Prior work in this area has studied the safety and resilience of individual components of the AV system (e.g., testing of neural networks powering the perception function). However, methods for holistic end-to-end resilience assessment of AV systems are still non-existent.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jul 2019.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 1.
4 papers.
- 2021Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehiclescited by 21
- 2021A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulationcited by 21
- 2022Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator -- Experience Reportcited by 1
- 2023Machine Learning Data Suitability and Performance Testing Using Fault Injection Testing Frameworkcited by 0
- 2023Machine Learning Data Suitability and Performance Testing Using Fault Injection Testing Framework20 Sep 2023
- 2022Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator -- Experience Report25 Feb 2022
- 2021A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation2 Dec 2021
- 2021Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles12 Mar 2021