The verification and validation of autonomous driving vehicles remains a major challenge due to the high complexity of autonomous driving functions. Scenario-based testing is a promising method for validating such a complex system. Ontologies can be utilized to produce test scenarios that are both meaningful and relevant. One crucial aspect of this process is selecting the appropriate method for describing the entities involved. The level of detail and specific entity classes required will vary depending on the system being tested. It is important to choose an ontology that properly reflects these needs. This paper summarizes key representative ontologies for scenario-based testing and related use cases in the field of autonomous driving. The considered ontologies are classified according to their level of detail for both static facts and dynamic aspects. Furthermore, the ontologies are evaluated based on the presence of important entity classes and the relations between them.

翻译：自动驾驶汽车的验证与确认因其功能的极高复杂性而面临重大挑战。基于场景的测试是验证此类复杂系统的一种充满前景的方法。本体论可用于生成既具意义又具相关性的测试场景。此过程的关键环节之一在于选择合适的实体描述方法。所需的具体实体类别及其详细程度将根据被测试系统而异。选取能够恰当反映这些需求的本体论至关重要。本文总结了自动驾驶领域中基于场景测试及其相关用例的关键代表性本体论。所考察的本体论依据其对静态事实与动态方面的细节描述程度进行分类。此外，基于重要实体类别及其相互关系的存在性对这些本体论进行了评估。