The automotive industry is experiencing a transition from assisted to highly automated driving. New concepts for validation of Automated Driving System (ADS) include amongst other a shift from a "technology based" approach to a "scenario based" assessment. The safety validation and type approval process of ADS are seen as the biggest challenges for the automotive industry today. Having in mind a variety of existing white papers, standardization activities and regulatory approaches, manufactures still struggle with selecting the best practices that keep aligned with their Safety Management System and Safety Culture. A step forward would be to implement a harmonized global safety assurance scheme that is compliant with relevant regulations, laws, standards, and reflects local rules. Today many communities (regulatory bodies, local authorities, industrial stake-holders) work on proof-of-concept framework for the Safety Argumentation as an answer to this problem. Unfortunately, there is still no consensus on one definitive methodology and a set of safety metrics to measure ADS safety. An objective of this summary report is to facilitate a comprehensive review and analysis of the literature concerning available methods and approaches for vehicle safety, engineering frameworks, processes of scenario-based evaluation and a vendor- and technology-neutral Safety Argumentation approaches and tools.
翻译:汽车工业正在经历从辅助性驾驶向高度自动化驾驶的过渡,自动化驾驶系统(ADS)验证的新概念包括从“以技术为基础的”方法向“以情景为基础的”评估的转变,ADS的安全验证和类型核准程序被视为汽车工业当今面临的最大挑战。考虑到现有的各种白皮书、标准化活动和监管办法,制造厂商仍然难以选择符合其安全管理系统和安全文化的最佳做法。向前迈出的一步将是执行一个符合相关条例、法律、标准和反映当地规则的统一的全球安全保障计划。今天,许多社区(监管机构、地方当局、工业利益相关者)都致力于安全论证概念框架,作为这一问题的答案。不幸的是,对于衡量ADS安全的一种确定的方法和一套安全衡量标准,仍然没有达成共识。本简要报告的目的是便利全面审查和分析关于车辆安全、工程框架、基于情景的评价程序以及供应商安全方法和技术中性工具的现有方法和办法的文献。