GPS/MEMS INS data fusion and map matching in urban areas

Hone-Jay Chu, Guang Je Tsai, Kai-Wei Chiang, Thanh Trung Duong

Research output: Contribution to journalArticle

25 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)11280-11288
Number of pages9
JournalSensors (Switzerland)
Volume13
Issue number9
DOIs
Publication statusPublished - 2013 Aug 23

Fingerprint

Micro-Electrical-Mechanical Systems
multisensor fusion
Data fusion
microelectromechanical systems
MEMS
Global positioning system
navigation
Navigation systems
Costs and Cost Analysis
Kalman filters
Redundancy
Navigation
redundancy
curves
Trajectories
roads
trajectories
evaluation
Costs

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Chu, Hone-Jay ; Tsai, Guang Je ; Chiang, Kai-Wei ; Duong, Thanh Trung. / GPS/MEMS INS data fusion and map matching in urban areas. In: Sensors (Switzerland). 2013 ; Vol. 13, No. 9. pp. 11280-11288.
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GPS/MEMS INS data fusion and map matching in urban areas. / Chu, Hone-Jay; Tsai, Guang Je; Chiang, Kai-Wei; Duong, Thanh Trung.

In: Sensors (Switzerland), Vol. 13, No. 9, 23.08.2013, p. 11280-11288.

Research output: Contribution to journalArticle

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