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Proceedings Paper

Terrain Mapping With MMW Radar: An Approach Using Sensor Fusion And Knowledge-Based Heuristics
Author(s): Miao-Li Pai; James C. Bezdek; Robert L. Cannon; William L. Cameron
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Paper Abstract

In this note we describe an architecture that integrates low-level processing of MMW radar data; intermediate-level processing based on contextual heuristics; and high-level processing driven by domain knowledge. The overall system objectives are to identify roadlike structures in the illuminated scene; and to match them to a world knowledge model to complete the estimated view of local terrain. The proposed system has applications in autonomous vehicle navigation and emer-gency landing situations.

Paper Details

Date Published: 25 February 1987
PDF: 6 pages
Proc. SPIE 0727, Mobile Robots I, (25 February 1987); doi: 10.1117/12.937809
Show Author Affiliations
Miao-Li Pai, University of South Carolina (United States)
James C. Bezdek, University of South Carolina (United States)
Robert L. Cannon, University of South Carolina (United States)
William L. Cameron, Boeing Aerospace Corporation (United States)

Published in SPIE Proceedings Vol. 0727:
Mobile Robots I
Nelson Marquina; William J. Wolfe, Editor(s)

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