This paper frames recent publications from Waymo within the broader context of the safety readiness determination for an Automated Driving System (ADS). Starting from a brief overview of safety performance outcomes reported by Waymo (i.e., contact events experienced during fully autonomous operations), this paper highlights the need for a diversified approach to safety determination that complements the analysis of observed safety outcomes with other estimation techniques. Our discussion highlights: the presentation of a "credibility paradox" within the comparison between ADS crash data and human-derived baselines; the recognition of continuous confidence growth through in-use monitoring; and the need to supplement any aggregate statistical analysis with appropriate event-level reasoning.

翻译：本文在自动驾驶系统（ADS）安全就绪性评估的更广泛框架内，对Waymo近期发布的成果进行了定位。从Waymo报告的安全绩效结果（即完全自动驾驶运行期间发生的接触事件）的简要概述出发，本文强调需要采用多元化的安全评估方法，通过其他估计技术来补充对观测到的安全结果的分析。我们的讨论重点包括：在ADS碰撞数据与人类驾驶基线数据比较中呈现的"可信度悖论"；通过运行监控所实现的持续置信度增长的认知；以及在任何汇总统计分析中补充适当事件级推理的必要性。