Suraksha: A Quantitative AV Safety Evaluation Framework to Analyze Safety Implications of Perception Design Choices

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This paper proposes an automated AV safety evaluation framework, Suraksha that quantifies and analyzes the sensitivities of different design parameters on AV safety. It employs a set of driving scenarios generated based on a user-specified difficulty level. It enables the exploration of tradeoffs in requirements either in existing AV implementations to find opportunities for improvement or during the development process to explore the component-level requirements for an optimal and safe AV architecture. As perception is a resource demanding task, we employ Suraksha to analyze the safety effects of using various perception parameters on an industrial AV system.


Hengyu Zhao (University of California, San Diego)
Timothy Tsai (NVIDIA)
Jishen Zhao (University of California, San Diego)

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