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.
|Journal||Proceedings of SPIE - The International Society for Optical Engineering|
|State||Published - 2008|
|Event||Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments - Guangzhou, China|
Duration: Jun 28 2008 → Jun 29 2008
- Kalman filter
- vehicle navigation system
- virtual differential method