Ensuring the safety and performance requirements of automated driving systems is a major challenge for the automotive industry. One way to tackle this problem is a simulation-based approach. However, to be able to rely on results generated by this method, the simulation process needs to fulfill certain quality criteria depending on the intended usage. Hence, quality should be measured and determined at many different levels and areas of the testing and developing landscape, providing information with varying degrees of abstraction. Additionally, quality not only has to be assessed for a complete automated driving system but also for the simulation models that approximate the vehicles' components before they can be used for simulation. This taxonomy provides a better understanding of the concept of quality during the development and test process and introduces the possibility to systematically evaluate whether development steps in this process need to be repeated or further assessed.

翻译：确保自动驾驶系统的安全性和性能要求是汽车工业面临的一大挑战。解决这一问题的一个办法是模拟方法。但是,为了能够依靠这种方法产生的结果,模拟过程必须达到某些质量标准,取决于预期的用途。因此,应当在许多不同的水平和领域衡量和确定质量,提供不同程度的抽象信息。此外,不仅需要评估完整的自动驾驶系统的质量,而且需要评估模拟模型的质量,这些模拟模型在车辆的部件可用于模拟之前要与这些部件相近。这种分类法使人们更好地了解开发和试验过程中的质量概念,并有可能系统地评估是否需要重复或进一步评估这一进程中的开发步骤。