首页> 外文会议>2010 IEEE Intelligent Vehicles Symposium >Stadtpilot: Driving autonomously on Braunschweig's inner ring road
【24h】

Stadtpilot: Driving autonomously on Braunschweig's inner ring road

机译:Stadtpilot:在不伦瑞克内环线上自动驾驶

获取原文

摘要

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.
机译:为2007年DARPA城市挑战赛而开发的名为“ Caroline”的无人驾驶汽车是一个很好的机会,可以证明不伦瑞克工业大学在自动驾驶研究领域的能力。在最初的89支团队中,有11支团队中,CarOLO团队掌握了挑战,从而有资格参加最后的DARPA城市挑战赛。基于这一经验,不伦瑞克工业大学目前正在开展后续项目“ Stadtpilot”,目标是在不伦瑞克的整个环城公路(称为市区内交通干线)上完全自主行驶。本文在“城市挑战”经验的背景下介绍“ Stadtpilot”项目,并确定与该研究背景下先前活动的差异。科学主张将与“城市挑战”场景形成对比。需要全新的概念来应对在不伦瑞克内环线领域实现无人驾驶的挑战。展示了一种对路径规划部分进行综合处理的方法,该方法可在真实的城市环境中实现复杂而精确的自动驾驶操作,并被视为“ Stadtpilot”项目的首项重大成功。在整个道路上生成的曲率优化轨迹与找到驾驶决策的方式无关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号