The Institute of Measurement, Control and Microtechnology at Ulm University investigates advanced driver assistance systems for decades and concentrates in large parts on autonomous driving. It is well known that 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 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:乌尔姆大学计量、控制和微观技术研究所几十年来一直在调查先进的驾驶员协助系统,并将大部分精力集中在自主驾驶上,众所周知,机动车规划是自主驾驶的关键技术,首先负责车辆乘客和周围所有交通参与者的安全,然而,另一项任务是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种情况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,我们将描述机动车规划系统,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公路交通,以及它如何处理诸如通过环绕路和交叉路口等具有挑战性的情况。