SNAKE: A NEW INFORMATION FUSION APPROACH TO AUGMENT GPS USING MAP-DERIVED INFORMATION

A physically based information fusion approach which greatly differs from the commonly used probabilistic approach is introduced. In this approach, a road is represented as a deformable model composed of an abstract elastic material. The combination of GPS (global positioning system) measurements with map derived information is accomplished by using a physically based least action principle. The optimal information fusion can be achieved by solving energy minimizing equations of the motion. Tests on simulated data show that this approach opened a new avenue for integrating map derived information to augment GPS for vehicle navigation. The feasibility, effectiveness, and distinctive features of this new approach are demonstrated in this paper.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/11832770
• Corporate Authors:

  University of Saskatchewan, Canada

  Saskatoon, Saskatchewan  Canada  S7N 0W0
• Authors:
  • Tao, C
• Conference:
  • Transportation: Emerging Realities. Canadian Transportation Research Forum, Proceedings of the 32nd Annual Conference
  • Location: Toronto, Canada
  • Date: 1997-5-25 to 1997-5-28
• Publication Date: 1997

Language

• English

Media Info

• Features: Figures; References;
• Pagination: p. 785-798
• Serial:
  • Publication of: Saskatchewan University, Canada
  • Publisher: University of Saskatchewan, Canada
  • ISSN: 1183-2770

Subject/Index Terms

• TRT Terms: Fusion; Global Positioning System; Information systems; Information technology; Mapping; Navigation systems; Remote sensing
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 00797508
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 22 2000 12:00AM