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

机译:苏克沙:一种分析感知设计选择的安全影响的定量AV安全评估框架

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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.
机译:本文提出了一种自动化的AV安全评估框架,Suraksha,量化和分析了AV安全的不同设计参数的敏感性。 它采用基于用户指定的难度级别生成的一组驱动场景。 它能够在现有的AV实现中探索要求的要求,以便在开发过程中找到改进的机会,以探索最佳和安全AV架构的组件级要求。 由于感知是一种资源要求苛刻的任务,我们雇用苏里卡斯山分析了在工业AV系统上使用各种感知参数的安全效果。

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