This paper introduces a robust prediction- and cost-function based algorithm for autonomous freeway driving. A prediction engine is built so that the autonomous vehicle is able to estimate human drivers' intentions. A cost function library is used to help behavior planners generate the best strategies. Finally, the algorithm is tested in a real-time vehicle simulation platform used by the Tartan Racing Team for the DARPA Urban Challenge 2007.
A robust autonomous freeway driving algorithm
2009 IEEE Intelligent Vehicles Symposium ; 1015-1020
01.06.2009
1089754 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A Robust Autonomous Freeway Driving Algorithm
British Library Conference Proceedings | 2009
|A Prediction and Cost Function-Based Algorithm for Robust Autonomous Freeway Driving, pp. 512-517
British Library Conference Proceedings | 2010
|NTIS | 1994