基于人工智能的自动驾驶域控制器的架构安全展望与考虑

Terry Fruehling, Abel Hailemichael, Corey A. Graves, J. Riehl, Eric Nutt, Rob Fischer, A. Saberi
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引用次数: 6

摘要

为自动驾驶汽车(AV)域控制器提供安全保证,同时满足越来越多的功能安全标准,是一项具有挑战性的任务。遵守这些规范需要在安全生命周期中采取几个步骤。系统定义之后是将功能目标分配给体系结构元素。然后,安全分析包括确定安全目标和各自的汽车安全完整性水平(ASIL -伤害风险)评估,这是所需自动化水平的要求。最后,安全机制包括提供必要的故障覆盖,并确保在存在系统故障时达到安全模式和状态。本文的重点是提供一个假设的AV域控制器架构的系统定义过程。我们建议的过程包括与自动化级别3,4和5的操作设计领域(ODD)一致的典型功能目标和属性的分类。本文的目的是确保安全目标和需求在开发过程开始时完整而正确地陈述,然后准确地传播到最终的设计和实现,没有遗漏。
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Architectural Safety Perspectives & Considerations Regarding the AI-based AV Domain Controller
Providing safety assurance for Automated Vehicle (AV) domain controllers which also complies with the growing list of functional safety standards is a challenging task. Compliance with these norms requires several steps during the safety life-cycle. A system definition is followed by the allocation of functional objectives to architectural elements. The safety analysis then includes the identification of safety goals and respective Automotive Safety Integrity Level (ASIL - injury risk) assessments as required by the desired automation level. Finally, safety mechanisms are included to provide necessary fault coverage and ensure that safe modes and states are reached in the presence of system faults. The focus of this paper is to provide a methodical definition process of a hypothetical AV domain controller architecture. Our proposed process includes an assortment of typical functional objectives and attributes consistent with the Operational Design Domain (ODD) at automation levels 3, 4 and 5. The intent of this paper will be to ensure that the safety goals and requirements are completely and correctly stated at the start of the development process and then propagated accurately to the final design and implementation with-out omission.
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