Autonomous driving in urban environments: approaches, lessons and challenges
Abstract
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.
Additional Information
© 2010 The Royal Society. One contribution of 10 to a Theme Issue 'Traffic jams: dynamics and control'. Much of the work described in this paper was supported by the US Defense Advanced Research Projects Agency (DARPA), under the DARPA Grand Challenge programme (Norm Whitaker, programme manager). R.M.M. would also like to acknowledge support from the US Air Force Office of Scientific Research (AFOSR) and the Boeing Corporation. J.P.H. would also like to acknowledge support from AFOSR (FA9550-08-1-0086). M.C. would like to acknowledge support from AFOSR (FA9550-05-1-0118).Additional details
- Eprint ID
- 20591
- DOI
- 10.1098/rsta.2010.0110
- Resolver ID
- CaltechAUTHORS:20101029-082222753
- Defense Advanced Research Projects Agency (DARPA)
- Boeing Corporation
- Air Force Office of Scientific Research (AFOSR)
- FA9550-08-1-0086
- Air Force Office of Scientific Research (AFOSR)
- FA9550-05-1-0118
- Created
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2010-10-29Created from EPrint's datestamp field
- Updated
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2021-11-09Created from EPrint's last_modified field