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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/11832770
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Corporate Authors:
University of Saskatchewan, Canada
Saskatoon, Saskatchewan Canada S7N 0W0 -
Authors:
- Tao, C
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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
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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