Winning the DARPA Grand Challenge with an AI Robot
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.
Cite
Text
Montemerlo et al. "Winning the DARPA Grand Challenge with an AI Robot." AAAI Conference on Artificial Intelligence, 2006.Markdown
[Montemerlo et al. "Winning the DARPA Grand Challenge with an AI Robot." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/montemerlo2006aaai-winning/)BibTeX
@inproceedings{montemerlo2006aaai-winning,
title = {{Winning the DARPA Grand Challenge with an AI Robot}},
author = {Montemerlo, Michael and Thrun, Sebastian and Dahlkamp, Hendrik and Stavens, David and Strohband, Sven},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2006},
pages = {982-987},
url = {https://mlanthology.org/aaai/2006/montemerlo2006aaai-winning/}
}