Multiagent interactions in urban driving

Patrick Beeson, Jack O'Quin, Bartley Gillan, Tarun Nimmagadda, Mickey Ristroph, David Li, and Peter Stone. Multiagent interactions in urban driving. Journal of Physical Agents, 2(1):15–30, March 2008. Special issue on Multi-Robot Systems.

Abstract

In Fall 2007, the US Defense Advanced Research Projects Agency (DARPA) held the Urban Challenge, a street race between fully autonomous vehicles. Unlike previous challenges, the Urban Challenge vehicles had to follow the California laws for driving, including properly handling traffic. This article presents the modular algorithms developed largely by undergraduates at The University of Texas at Austin as part of the Austin Robot Technology team. We emphasize the aspects of the system that are relevant to multiagent interactions. Specifically, we discuss how our vehicle tracked and reacted to nearby traffic in order to allow our autonomous vehicle to safely follow and pass, merge into moving traffic, obey intersection precedence, and park.

Additional Information

JoPhA copy

BibTeX

@Article{Beeson-jopha-08,
  author =	 {Patrick Beeson and Jack O'Quin and Bartley Gillan
                  and Tarun Nimmagadda and Mickey Ristroph and David
                  Li and Peter Stone},
  title =	 {Multiagent interactions in urban driving},
  journal =	 {Journal of Physical Agents},
  year =	 2008,
  volume =	 2,
  number =	 1,
  pages =	 {15--30},
  month =	 {March},
  note =	 {Special issue on Multi-Robot Systems.},
  abstract =	 {In Fall 2007, the US Defense Advanced Research
                  Projects Agency (DARPA) held the Urban Challenge, a
                  street race between fully autonomous
                  vehicles. Unlike previous challenges, the Urban
                  Challenge vehicles had to follow the California laws
                  for driving, including properly handling
                  traffic. This article presents the modular
                  algorithms developed largely by undergraduates at
                  The University of Texas at Austin as part of the
                  Austin Robot Technology team. We emphasize the
                  aspects of the system that are relevant to
                  multiagent interactions. Specifically, we discuss
                  how our vehicle tracked and reacted to nearby
                  traffic in order to allow our autonomous vehicle to
                  safely follow and pass, merge into moving traffic,
                  obey intersection precedence, and park.},
  bib2html_pubtype ={Journal},
  bib2html_rescat ={Autonomous Vehicles},
  bib2html_extra_info ={<a
                  href="http://www.jopha.net/index.php/jopha/article/view/14">
                  JoPhA copy</a>},
}

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