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/}
}