CarFASE: A Carla-based Tool for Evaluating the Effects of Faults and Attacks on Autonomous Driving Stacks

Engineering notes

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. 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.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

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.

Links and sources

• Official / arXiv page

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