Literature Review on Maneuver-Based Scenario Description for Automated Driving Simulations

Nicole Neis, Juergen Beyerer
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Abstract

The increasing complexity of automated driving functions and their growing operational design domains imply more demanding requirements on their validation. Classical methods such as field tests or formal analyses are not sufficient anymore and need to be complemented by simulations. For simulations, the standard approach is scenario-based testing, as opposed to distance-based testing primarily performed in field tests. Currently, the time evolution of specific scenarios is mainly described using trajectories, which limit or at least hamper generalizations towards variations. As an alternative, maneuver-based approaches have been proposed. We shed light on the state of the art and available foundations for this new method through a literature review of early and recent works related to maneuver-based scenario description. It includes related modeling approaches originally developed for other applications. Current limitations and research gaps are identified.
基于机动的自动驾驶仿真场景描述研究综述
自动驾驶功能日益复杂,其操作设计领域不断扩大,这意味着对其验证的要求越来越高。传统的方法,如现场试验或形式分析已经不够了,需要辅以模拟。对于模拟,标准方法是基于场景的测试,而不是主要在现场测试中进行的基于距离的测试。目前,特定情景的时间演变主要是用轨迹来描述的,这限制或至少阻碍了对变化的概括。作为一种替代方案,基于机动的方法已经被提出。我们通过对早期和最近与基于机动的场景描述相关的作品的文献回顾,阐明了这种新方法的艺术状态和可用基础。它包括最初为其他应用程序开发的相关建模方法。确定了当前的局限性和研究差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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