Disclosing the Fragility Problem of Virtual Safety Testing for Autonomous Driving Systems

Zhisheng Hu, Shengjian Guo, Zhenyu Zhong, Kang Li
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引用次数: 3

Abstract

In order to overcome the insufficiency of road testing in cost and coverage, vendors have been using 3D simulators to conduct virtual safety testing (VST) for autonomous driving. In this work, we report our observations of the unexpected issues in virtual safety testing: 1. Some commonly overlooked factors in simulator usage can subtly affect the running simulation, leading to false positive collision cases; 2. Minor changes in the simulation world can lead to drastically different testing results. We collectively refer to these unexpected or uncertain issues as the VST fragility problem. With the developed concrete cases, we explain the fragility problem in details and reason for the root causes accordingly. Moreover, we propose mitigation guidance based on the underlying causes of the fragility points.
揭示自动驾驶系统虚拟安全测试的脆弱性问题
为了克服道路测试在成本和覆盖范围上的不足,厂商一直在使用3D模拟器进行自动驾驶的虚拟安全测试(VST)。在这项工作中,我们报告了我们对虚拟安全测试中意外问题的观察:1。在模拟器的使用中,一些通常被忽视的因素会潜移默化地影响运行模拟,导致误报碰撞情况;2. 模拟环境中的微小变化可能导致截然不同的测试结果。我们将这些意外或不确定的问题统称为VST脆弱性问题。结合开发的具体案例,对脆弱性问题进行了详细的解释,并对其根源进行了分析。此外,我们提出了基于脆弱性点的根本原因的缓解指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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