Winning the DARPA Grand Challenge with an AI Robot

  title={Winning the DARPA Grand Challenge with an AI Robot},
  author={Michael Montemerlo and Sebastian Thrun and Hendrik Dahlkamp and David Stavens and 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. 
Highly Cited
This paper has 95 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 61 extracted citations

95 Citations

Citations per Year
Semantic Scholar estimates that this publication has 95 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-7 of 7 references

A new extension of the Kalman filter to nonlinear systems. ISADSSC-1997

  • S. Julier, J. Uhlmann
  • 1997
Highly Influential
10 Excerpts

High speed navigation of unrehearsed terrain: Red team technology for grand challenge

  • C Urmson
  • TR CMU-RI-TR04-37
  • 2004

Global Positioning Systems, Inertial Navigation, and Integration

  • M. Grewal, L. Weill, A. Andrews
  • Wiley.
  • 2001

Three-layered architectures

  • E. Gat
  • Kortenkamp, D.; Bonasso, R.; and Murphy, R., eds…
  • 1998
1 Excerpt

Intelligent Unmanned Ground Vehicles: Autonomous Navigation Research at CCMU

  • M. Hebert, C. Thorpe, A. Stentz
  • Kluwer.
  • 1997

Similar Papers

Loading similar papers…