Winning the DARPA grand challenge with an AI robot

Authors:
Michael Montemerlo;Sebastian Thrun;Hendrik Dahlkamp;David Stavens;Sven Strohband
Affiliations:
Stanford AI Lab, Stanford University, Stanford, CA;Stanford AI Lab, Stanford University, Stanford, CA;Stanford AI Lab, Stanford University, Stanford, CA;Stanford AI Lab, Stanford University, Stanford, CA;Volkswagen of America, Inc., Electronics Research Laboratory, Palo Alto, California
Venue:
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Year:
2006

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Abstract

This paper describes the software architecture of Stanley, an autonomous land vehicle developed for high-speed desert driving without human intervention. The vehicle recently won the DARPA Grand Challenge, a major robotics competition. The article describes the software architecture of the robot, which relied pervasively on state-of-the-art AI technologies, such as machine learning and probabilistic reasoning.