论文标题
场景探索的应用，以找到在城市场景中开发和测试自动驾驶系统的新方案
An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios
论文作者
论文摘要
验证和验证是开发自动驾驶系统的主要挑战。在自动驾驶中测试越来越认可的概念是基于方案的测试。但是，它引入了哪些方案与测试相关的问题，哪些方案无关。这项工作旨在通过利用贝叶斯优化和高斯流程来在逻辑场景中找到相关，有趣或关键的参数集。参数优化是通过比较和评估两个城市交集方案中的六个不同指标来完成的。最后，这项工作导致并应进一步研究的想法清单。
Verification and validation are major challenges for developing automated driving systems. A concept that gets more and more recognized for testing in automated driving is scenario-based testing. However, it introduces the problem of what scenarios are relevant for testing and which are not. This work aims to find relevant, interesting, or critical parameter sets within logical scenarios by utilizing Bayes optimization and Gaussian processes. The parameter optimization is done by comparing and evaluating six different metrics in two urban intersection scenarios. Finally, a list of ideas this work leads to and should be investigated further is presented.
