Simultaneous correction of GPS error and Map error for improved Map-matching: Algorithm and application

Liu Hongchao, Wei Heng, Xu Hao, Bao Yuanlu

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

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.

Keywords

  • GPS
  • Kalman filter
  • Map-matching
  • vehicle navigation system
  • virtual differential method

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