发表机构
European Commission, Joint Research Centre (JRC); Dutch Vehicle Authority (RDW); Piksel（欧盟委员会联合研究中心; 荷兰车辆管理局; Piksel公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
欧盟采用基于UNECE的ISMR框架收集ADS运行数据，以确认安全目标、发现威胁场景并共享经验，应对传统认证的未知挑战。
AI 中文摘要
欧盟（EU）政策制定者在最近批准的允许无人驾驶车辆在公共道路上行驶的法规中，采纳了针对自动驾驶系统（ADS）的革命性数据收集条款。该框架借鉴了联合国欧洲经济委员会（UNECE）层面制定的最佳实践：在用监测与报告（ISMR）；以及核能生产和交通运输领域类似的运行数据监管方法。真实世界数据的收集将使主管安全当局能够获取确认型式认证安全目标所需的信息。在特定ADS实际运行过程中发现的安全相关驾驶场景，也可存储在场景目录中，以研究其他类型的ADS可能如何处理此类交通冲突。此外，从收集的数据中获得的经验教训可以在原始设备制造商（OEMs）和安全当局之间共享。最终，ISMR被认为是妥善应对ADS安全评估相关挑战的必要工具，因为仅依靠传统的型式认证验证方案可能无法揭示许多未知因素。
英文摘要
European Union (EU) policymakers adopted revolutionary data collection provisions for Automated Driving Systems (ADS) in the recently approved regulation that allows driverless vehicles to be operated on public roads. The framework is inspired by best practices developed at the United Nations Economic Commission for Europe(UNECE) level: the In-Service Monitoring and Reporting (ISMR); and by similar operational data collection regulatory approaches in nuclear energy production and transportation fields. The collection of real-world data will enable the competent safety authorities to gather the information needed to confirm the homologation safety target. Safety-relevant driving scenarios discovered during the real-world operation of a given ADS can also be stored in a scenario catalogue to investigate how other ADS types might have addressed such a traffic conflict. Moreover, lessons learnt deriving from the data collected can be shared among original equipment manufacturers (OEMs) and safety authorities. Ultimately, the ISMR is recognised as a necessary tool to properly tackle the challenges associated with ADS safety assessment given the number of unknowns that might remain undisclosed by leveraging the traditional homologation validation scheme only.
CommentsPresented at EsREDA 62nd conference in Twente
