Winning the DARPA Grand Challenge with an AI Robot

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.

• Type: Conference
• Year: 2006
• Where: AAAI
• Authors: Michael Montemerlo, Sebastian Thrun, Hendrik Dahlkamp, David Stavens, Sven Strohband
• Keywords: AAAI 2006, Autonomous Land Vehicle, Darpa Grand Challenge, Intelligent Agents, Software Architecture