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

33 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

All Science Journal Classification (ASJC) codes

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

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