Stadtpilot: Driving autonomously on Braunschweig's inner ring road

J. Wille, F. Saust, M. Maurer
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引用次数: 72

Abstract

The development of the autonomous vehicle named “Caroline” for the 2007 DARPA Urban Challenge was a great opportunity to demonstrate the abilities of the Technische Universität Braunschweig in the research field of autonomous driving. Among 11 teams out of the initially 89, the CarOLO team mastered the challenges to qualify for the final DARPA Urban Challenge event. Based on this experience, the Technische Universität Braunschweig is currently working on the follow-up project “Stadtpilot” with the objective to drive fully autonomously on Braunschweig's entire ring road, which is known as the arterial road of its inner city traffic. This paper introduces the “Stadtpilot”-Project in the context of the Urban Challenge experience and identifies the differences to previous activities in this research context. The scientific claim will be shown in contrast to the Urban Challenge scenario. Completely new concepts are required to master the challenges of realizing autonomous driving in the domain of Braunschweig's inner ring road. An approach for the comprehensive treatment of path-planned sections is shown that realizes complex and precise autonomous driving maneuvers in a real urban environment and is observed as the first major success of the “Stadtpilot”-Project. Curvature optimized trajectories are generated over the whole roadway that are independent from the way driving decisions are found.
Stadtpilot:在不伦瑞克的内环上自动驾驶
为2007年DARPA城市挑战赛开发的名为“卡罗琳”的自动驾驶汽车是一个很好的机会,可以展示Universität不伦瑞克理工大学在自动驾驶研究领域的能力。在最初的89支队伍中的11支队伍中,CarOLO团队掌握了挑战,有资格参加最后的DARPA城市挑战赛。基于这一经验,Technische Universität不伦瑞克目前正在开展后续项目“Stadtpilot”,目标是在不伦瑞克的整个环路上实现完全自动驾驶,这条环路被称为其内城交通的主干道。本文在城市挑战赛的背景下介绍了“城市试点”项目,并确定了在该研究背景下与以往活动的不同之处。科学主张将与“城市挑战”方案进行对比。在不伦瑞克的内环公路上实现自动驾驶需要全新的概念。展示了一种综合处理路径规划路段的方法,该方法在真实的城市环境中实现了复杂而精确的自动驾驶机动,并被视为“Stadtpilot”项目的第一个重大成功。曲率优化轨迹是在整个道路上生成的,它独立于驾驶决策的发现方式。
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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