Autonomous driving in urban environments: approaches, lessons and challenges

被引:222
作者
Campbell, Mark [2 ]
Egerstedt, Magnus [3 ]
How, Jonathan P. [4 ]
Murray, Richard M. [1 ]
机构
[1] CALTECH, Pasadena, CA 91125 USA
[2] Cornell Univ, Ithaca, NY 14853 USA
[3] Georgia Inst Technol, Atlanta, GA 30332 USA
[4] MIT, Cambridge, MA 02139 USA
来源
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | 2010年 / 368卷 / 1928期
基金
美国国家科学基金会;
关键词
autonomous driving; robotics; intelligent transportation; ENTRY; PERCEPTION;
D O I
10.1098/rsta.2010.0110
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The development of autonomous vehicles for urban driving has seen rapid progress in the past 30 years. This paper provides a summary of the current state of the art in autonomous driving in urban environments, based primarily on the experiences of the authors in the 2007 DARPA Urban Challenge (DUC). The paper briefly summarizes the approaches that different teams used in the DUC, with the goal of describing some of the challenges that the teams faced in driving in urban environments. The paper also highlights the long-term research challenges that must be overcome in order to enable autonomous driving and points to opportunities for new technologies to be applied in improving vehicle safety, exploiting intelligent road infrastructure and enabling robotic vehicles operating in human environments.
引用
收藏
页码:4649 / 4672
页数:24
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