This paper presents an improved map-matching algorithm for GPS-based vehicle navigation systems. The proposed approach attempts to correct the GPS error and the Map error simultaneously through a unique combined Kalman filter and virtual differential error correction approach. An advanced Kalman filter algorithm was developed, which, in conjunction with the virtual differential algorithm, handles the biased error and the random error of GPS as well as the map error. Both the along-track and cross-track errors are considered in the error correction process. The performance of the algorithm is thoroughly examined by sample applications and the results are reasonably well.

Date Published: 3 November 2008
PDF: 11 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71452S (3 November 2008); doi: 10.1117/12.813088

Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)