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Proceedings Paper

An Intelligent System For Autonomous Navigation Of Airborne Vehicles
Author(s): William L. Cameron; Howard Fain; James C. Bezdek
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Paper Abstract

Autonomous navigation of airborne platforms requires the integration of diverse sources of sensor data and contextual information. In this paper we describe a system that utilizes polarimetric radar cross-section and range data to generate position estimates based on four kinds of information: area segmentation, ground contours, landmarks and road networks. Ground truth in the form of terrain feature maps is correlated with each type of data stream. Finally, an arbitrator integrates these inputs with contextual knowledge about the preplanned flight path to resolve conflicts and arrive at a final estimate of current position.

Paper Details

Date Published: 5 January 1989
PDF: 19 pages
Proc. SPIE 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation, (5 January 1989); doi: 10.1117/12.948960
Show Author Affiliations
William L. Cameron, Boeing Aerospace (United States)
Howard Fain, Boeing Aerospace (United States)
James C. Bezdek, Boeing Electronics (United States)

Published in SPIE Proceedings Vol. 1003:
Sensor Fusion: Spatial Reasoning and Scene Interpretation
Paul S. Schenker, Editor(s)

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