Winning the DARPA Grand Challenge with an AI Robot

Michael Montemerlo, Sebastian Thrun, Hendrik Dahlkamp, David Stavens, Sven Strohband

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.

Subjects: 17. Robotics


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.