Citation

Chu HJ, Tsai GJ, Chiang KW, Duong TT. Sensors (Basel) 2013; 13(9): 11280-11288.

Affiliation

Department of Geomatics, National Cheng Kung University, No.1, University Road, Tainan 701, Taiwan. p68987015@mail.ncku.edu.tw.

Copyright

(Copyright © 2013, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s130911280

PMID

23979480

Abstract

This paper presents an evaluation of the map-matching scheme of an integrated GPS/INS system in urban areas. Data fusion using a Kalman filter and map matching are effective approaches to improve the performance of navigation system applications based on GPS/MEMS IMUs. The study considers the curve-to-curve matching algorithm after Kalman filtering to correct mismatch and eliminate redundancy. By applying data fusion and map matching, the study easily accomplished mapping of a GPS/INS trajectory onto the road network. The results demonstrate the effectiveness of the algorithms in controlling the INS drift error and indicate the potential of low-cost MEMS IMUs in navigation applications.

Language: en