The development of new assessment methods for the performance of automated vehicles is essential to enable the deployment of automated driving technologies, due to the complex operational domain of automated vehicles. One contributing method is scenario-based assessment in which test cases are derived from real-world road traffic scenarios obtained from driving data. Given the complexity of the reality that is being modeled in these scenarios, it is a challenge to define a structure for capturing these scenarios. An intensional definition that provides a set of characteristics that are deemed to be both necessary and sufficient to qualify as a scenario assures that the scenarios constructed are both complete and intercomparable. In this article, we develop a comprehensive and operable definition of the notion of scenario while considering existing definitions in the literature. This is achieved by proposing an object-oriented framework in which scenarios and their building blocks are defined as classes of objects having attributes, methods, and relationships with other objects. The object-oriented approach promotes clarity, modularity, reusability, and encapsulation of the objects. We provide definitions and justifications of each of the terms. Furthermore, the framework is used to translate the terms in a coding language that is publicly available.
翻译:由于自动化车辆的操作领域复杂,开发新的自动车辆性能评估方法对于部署自动驾驶技术至关重要,因为自动化车辆的操作领域复杂,因此,开发新的自动化车辆性能评估方法至关重要。一个促进方法就是基于假设情景的评估,根据从驾驶数据中获得的实际情况,对测试案例进行预测。鉴于这些假设情景所呈现的现实的复杂性,界定一种捕捉这些情景的结构是一项挑战。一个强化的定义,提供一套既必要又足够的特征,可被视为一种情景,确保所构建的情景既完整又可相互比较。在本条中,我们在考虑文献中现有定义的同时,对设想情景概念制定了一个全面、可操作的定义。这是通过提出一个面向目标的框架来实现的,在这种框架中,设想情景及其构件被界定为具有属性、方法和与其他物体关系的物体的分类。以目标为导向的方法促进了清晰度、模块性、可重复性和包装性。我们提供了每个术语的定义和理由。此外,该框架还用于将术语翻译成公开使用的编码语言。