Since there are more and more highly automated vehicles in road transportation with various extremely safety-critical functions, it is crucial to intensify the development of testing methods. Following this consideration, this paper introduces a new methodological framework for evaluating automated vehicle functions. In the first step, the article proposes a method to select and calibrate the possibly applied and implemented control model. Following this, the developed approach suggests the comparison of the performed test results and the identified theoretical model outputs by evaluating the similarity of the investigated distributions based on statistical hypothesis tests. If the distributions of the real system’s output and the theoretical model’s output are close enough to each other, we can assume that the operation performance of the real system in the case of the investigated operation scenario is acceptable.

中文翻译：

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用于测试自动车辆功能的新颖方法框架

由于道路运输中越来越多的具有高度安全关键功能的高度自动化的车辆，因此加强测试方法的开发至关重要。基于这一考虑，本文介绍了一种用于评估自动车辆功能的新方法框架。在第一步中，本文提出了一种选择和校准可能应用和实现的控制模型的方法。此后，通过基于统计假设检验评估所研究分布的相似性，所开发的方法建议对已执行的检验结果与已识别的理论模型输出进行比较。如果实际系统的输出和理论模型的输出的分布足够接近，