The Institute of Measurement, Control and Microtechnology of the University of Ulm investigates advanced driver assistance systems for decades and concentrates large parts on autonomous driving. It is well known: Motion planning is a key technology for autonomous driving. It is first and foremost responsible for the safety of the vehicle passengers as well as of all surrounding traffic participants. However, a further task consists also in providing a smooth and comfortable driving behavior. In Ulm, we have the grateful opportunity to test our algorithms under real conditions in public traffic and diversified scenarios. In this paper, we would like to give the readers an insight of our work, about the vehicle, the test track, as well as of the related problems, challenges and solutions. Therefore, we will describe the motion planning system and explain the implemented functionalities. Furthermore, we will show how our vehicle moves through public road traffic and how it deals with challenging scenarios like e.g. driving through roundabouts and intersections.
翻译:乌尔姆大学的计量、控制和微观技术研究所对先进的驾驶员协助系统进行了数十年的调查,并将大部分内容集中在自主驾驶上,众所周知:机动规划是自主驾驶的关键技术,它首先负责车辆乘客和周围所有交通参与者的安全,然而,另一项任务还包括提供顺畅和舒适的驾驶行为。在乌尔姆大学,我们有难得的机会在公共交通和多样化情景的真实条件下测试我们的算法。在本文中,我们要让读者深入了解我们的工作,了解车辆、测试轨迹以及相关问题、挑战和解决办法。因此,我们将描述机动规划系统,并解释所执行的功能。此外,我们将展示我们的车辆如何通过公共道路交通,以及如何应对诸如通过环绕路和交叉路段驾驶等具有挑战性的情况。