@inproceedings{1b12428a9f00409ea4e39b61079ffe3c,
title = "Map matching algorithm using belief function theory",
abstract = "Map matching algorithms are used to integrate an initial estimated position with digital road network data for computing the vehicle position on a road map. In this paper, a map matching algorithm based on belief function theory is proposed. This method provides an accurate estimation of vehicle position relative to a digital road map using belief function theory and interval analysis. The core idea of the proposed algorithm is to handle only interval knowledge acquired from sensors and to use the multiple hypothesis technique. This technique proves to be relevant to treat junction roads situations or parallel roads. The results on simulated and real data show the usefulness of the proposed method.",
keywords = "Belief function theory, Interval analysis, Map matching, Multiple hypothesis technique, Multisensor fusion",
author = "Ghalia Nassreddine and Fahed Abdallah and Thierry Denreux",
year = "2008",
doi = "10.1109/ICIF.2008.4632319",
language = "English",
isbn = "9783000248832",
series = "Proceedings of the 11th International Conference on Information Fusion, FUSION 2008",
booktitle = "Proceedings of the 11th International Conference on Information Fusion, FUSION 2008",
note = "11th International Conference on Information Fusion, FUSION 2008 ; Conference date: 30-06-2008 Through 03-07-2008",
}