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：汽车行业正经历从辅助驾驶向高度自动驾驶的转型。自动驾驶系统验证的新概念包括从"基于技术"的方法向"基于场景"评估的转变。自动驾驶系统的安全验证与型式批准流程被视为当前汽车行业面临的最大挑战。面对现有白皮书、标准化活动和监管方法的多样性，制造商在选择与其安全管理体系和安全文化保持一致的最佳实践时仍面临困境。推进方向是建立符合相关法规、法律、标准并反映地方规则的全球统一安全保证方案。如今，多个领域（监管机构、地方当局、行业利益相关者）正致力于开发安全论证的概念验证框架以应对这一问题。遗憾的是，目前尚未就统一方法论和安全指标集达成共识，以衡量自动驾驶系统的安全性。本总结报告旨在对现有车辆安全方法、工程框架、基于场景的评估流程以及供应商和技术中立的安全论证方法与工具等文献进行全面综述与分析。