Recommended Citation
Published in Proceedings of the 2006 IEEE Intelligent Transportation Systems Conference: Toronto, Canada, September 17, 2006, pages 1006-1011.
Copyright © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
NOTE: At the time of publication, the author Christopher Clark was not yet affiliated with Cal Poly.
The definitive version is available at http://dx.doi.org/10.1109/ITSC.2006.1707353.
Abstract
The majority of today's navigation techniques for intelligent transportation systems use Global Positioning Systems (GPS) that can provide position information with bounded errors. However, because of the low accuracy and multi-path problem, it is challenging to determine a vehicle's position at lane level. With Markov-based approach based on sharing information among a group of vehicles that are traveling close to each other, the lane positions of vehicles can be found. The algorithm shows its effectiveness in both simulations and experiments with real data.
Disciplines
Computer Sciences
URL: http://digitalcommons.calpoly.edu/csse_fac/64