A Robust Autonomous Freeway Driving Algorithm
Conference Paper, Proceedings of IEEE Intelligent Vehicles Symposium (IV '09), pp. 1015 - 1020, June, 2009
Abstract
This paper introduces a robust prediction- and costfunction 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.
BibTeX
@conference{Wei-2009-10247,author = {Junqing Wei and John M. Dolan},
title = {A Robust Autonomous Freeway Driving Algorithm},
booktitle = {Proceedings of IEEE Intelligent Vehicles Symposium (IV '09)},
year = {2009},
month = {June},
pages = {1015 - 1020},
keywords = {autonomous driving, cost function, prediction},
}
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