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

This paper presents an evaluation of the map-matching scheme of an integrated GPS/INS (Global Positioning System/Inertial Navigation System) 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 (Micro-Electro-Mechanical System) IMUs (inertial measurement units). 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.

• Record URL:
  https://doi.org/10.3390/s130911280
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14248220
• Supplemental Notes:
  • © 2013 Hone-Jay Chu et al.
• Authors:
  • Chu, Hone-Jay
  • Tsai, Guang-Je
  • Chiang, Kai-Wei
  • Duong, Thanh-Trung
• Publication Date: 2013-8

Media Info

• Media Type: Print
• Features: Figures; Maps; Photos; References; Tables;
• Pagination: pp 11280-11288
• Serial:
  • Sensors
  • Volume: 13
  • Issue Number: 9
  • Publisher: MDPI AG
  • ISSN: 1424-8220
  • Serial URL: http://www.mdpi.com/journal/sensors
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Data fusion; Global Positioning System; Inertial navigation systems; Kalman filtering; Navigation systems; Urban areas
• Subject Areas: Data and Information Technology; Highways; I70: Traffic and Transport;

Filing Info

• Accession Number: 01495783
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 18 2013 2:12PM