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方法。随着SOTIF标准（ISO 21448）的正式发布，基于场景的测试对于释放这些高度自动化驾驶系统的相关性日益增强。然而，一个关键缺失的细节阻碍了SOTIF标准的实际应用：如何实际生成基于场景的测试所需的场景？在本文中，我们进行了一项系统性文献综述，以识别符合SOTIF标准要求的场景生成技术。我们对现有的场景生成技术进行了分类，并评估了所生成场景在满足SOTIF要求方面的特性。我们探究了生成的场景覆盖了真实世界的哪些细节、场景是针对特定被测系统还是通用的，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：使用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。