自动驾驶汽车基于场景的开发和测试方法的一致分类法：结构框架、基本词汇及其应用的建议
Toward a Consistent Taxonomy for Scenario-Based Development and Test Approaches for Automated Vehicles: A Proposal for a Structuring Framework, a Basic Vocabulary, and its Application
摘要：
确保和验证自动驾驶汽车的安全运行是其市场推出的关键挑战。目前正在寻求基于设想的开发和测试方法作为可能的解决方案。研究、应用和标准化这些方法的一个基本前提是一致和一致的分类法。此分类法必须包括相关术语、其描述以及各个术语之间的关系。据我们所知，目前还不存在这样一种分类法，这常常导致误解，例如在协调进程和讨论中。本出版物有助于这一分类。为此，我们提出了一个框架结构的分类。在这个框架内，我们提出了一个基本的词汇表，通过识别和描述的条款，我们认为特别相关的概述，这种基于Java的开发和测试方法。此外，我们可视化提出的条款和这些条款之间的关系与UML图，并解释建议的基本词汇的应用与一个例子。
英文摘要：
Ensuring and validating the safe operation of automated vehicles are key challenges for their market launch. Scenario-based development and test approaches are currently being pursued as possible solutions. An essential prerequisite for researching, applying, and standardizing these approaches is a consistent and agreed-upon taxonomy. This taxonomy must include relevant terms, their description, and the relationships between the respective terms. To the best of our knowledge, such a taxonomy does not yet exist, which often leads to misunderstandings, for example, in coordination processes and discussions. This publication contributes to this taxonomy. For this purpose, we propose a framework for structuring the taxonomy. Within this framework, we propose a basic vocabulary by identifying and describing terms that we consider particularly relevant for an overview of such scenario-based development and test approaches. Additionally, we visualize the proposed terms and the relationships between these terms with UML diagrams and explain the application of the proposed basic vocabulary with an example.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
