Scenario-based testing is considered state-of-the-art to verify and validate Advanced Driver Assistance Systems or Automated Driving Systems. Due to the official launch of the SOTIF-standard (ISO 21448), scenario-based testing becomes more and more relevant for releasing those Highly Automated Driving Systems. However, an essential missing detail prevent the practical application of the SOTIF-standard: How to practically generate scenarios for scenario-based testing? In this paper, we perform a Systematic Literature Review to identify techniques that generate scenarios complying with requirements of the SOTIF-standard. We classify existing scenario generation techniques and evaluate the characteristics of generated scenarios wrt. SOTIF requirements. We investigate which details of the real-world are covered by generated scenarios, whether scenarios are specific for a system under test or generic, and whether scenarios are designed to minimize the set of unknown and hazardous scenarios. We conclude that scenarios generated with existing techniques do not comply with requirements implied by the SOTIF-standard; hence, we propose directions for future research.

翻译：基于场景的测试被认为是验证和确认高级驾驶辅助系统或自动驾驶系统的最先进技术。随着SOTIF标准（ISO 21448）的正式发布，基于场景的测试对于发布高度自动驾驶系统变得越来越重要。然而，一个关键缺失的细节阻碍了SOTIF标准的实际应用：如何实际生成用于基于场景测试的场景？本文通过系统性文献综述，识别符合SOTIF标准要求的场景生成技术。我们对现有场景生成技术进行分类，并评估生成场景相对于SOTIF要求的特性。我们研究了生成场景覆盖真实世界的细节程度、场景是针对被测系统具体还是通用、以及场景是否旨在最小化未知和危险场景的集合。我们得出结论，现有技术生成的场景不符合SOTIF标准隐含的要求；因此，我们提出了未来研究方向。