The increasing complexity of automated driving functions and their growing operational design domains imply more demanding requirements on their validation. Classical methods such as field tests or formal analyses are not sufficient anymore and need to be complemented by simulations. For simulations, the standard approach is scenario-based testing, as opposed to distance-based testing primarily performed in field tests. Currently, the time evolution of specific scenarios is mainly described using trajectories, which limit or at least hamper generalizations towards variations. As an alternative, maneuver-based approaches have been proposed. We shed light on the state of the art and available foundations for this new method through a literature review of early and recent works related to maneuver-based scenario description. It includes related modeling approaches originally developed for other applications. Current limitations and research gaps are identified.

翻译：自动驾驶功能的日益复杂及其运行设计域的不断扩大，对其验证提出了更高要求。传统的实车测试或形式化分析方法已难以满足需求，亟需借助仿真手段进行补充。在仿真中，标准方法是基于场景的测试，而非主要在实车测试中采用的基于里程的测试。目前，特定场景的时间演化主要依赖轨迹进行描述，这限制或至少阻碍了向变体场景的泛化。作为替代方案，基于机动行为的方法已被提出。我们通过综述与机动行为场景描述相关的早期及近期研究工作，阐明了这一新方法的现有基础与研究现状，其中涵盖最初为其他应用开发的建模方法。此外，识别了当前的局限性及研究空白。