Safety of the Intended Functionality Validation for Automated Driving Systems by Using Perception Performance Insufficiencies Injection

Vehicles Pub Date : 2024-07-04 DOI:10.3390/vehicles6030055
Víctor J. Expósito Jiménez, Georg Macher, Daniel Watzenig, Eugen Brenner
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Abstract

System perception of the environment becomes more important as the level of automation increases, especially at the higher levels of automation (L3+) of Automated Driving Systems. As a consequence, scenario-based validation becomes more important in the overall validation process of a vehicle. Testing all scenarios with potential triggering conditions that may lead to hazardous vehicle behaviour is not a realistic approach, as the number of such scenarios tends to be unmanageable. Therefore, another approach has to be provided to deal with this problem. In this paper, we present our approach, which uses the injection of perception performance insufficiencies instead of directly testing the potential triggering conditions. Finally, a use case is described that illustrates the implementation of the proposed approach.
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通过注入感知性能缺陷来验证自动驾驶系统预期功能的安全性
随着自动化水平的提高,尤其是自动驾驶系统的自动化水平越高(L3+),系统对环境的感知就越重要。因此,在车辆的整体验证过程中,基于场景的验证变得更加重要。测试可能导致危险车辆行为的潜在触发条件的所有情景并不是一种现实的方法,因为此类情景的数量往往无法控制。因此,必须提供另一种方法来解决这一问题。在本文中,我们介绍了我们的方法,即通过注入感知性能缺陷来代替直接测试潜在的触发条件。最后,我们介绍了一个使用案例,以说明所建议方法的实施。
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