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Proceedings Paper

Adaptive Control Of Multisensor Systems
Author(s): Su-shing Chen
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Paper Abstract

A hierarchical and adaptive control scheme of multisensor systems is introduced for improvement of image understanding, correspondence (registration) problem and sensory data fusion. The neural network approach provides adaptiveness and learning to not only the control level of the overall system architecture, but also the processing level of the image frames. Furthermore, our improved sensing capability enhances the performance of large, complex, integrated sensor-driven robotic systems.

Paper Details

Date Published: 9 August 1988
PDF: 5 pages
Proc. SPIE 0931, Sensor Fusion, (9 August 1988); doi: 10.1117/12.946653
Show Author Affiliations
Su-shing Chen, University of North Carolina-Charlotte (United States)

Published in SPIE Proceedings Vol. 0931:
Sensor Fusion
Charles B. Weaver, Editor(s)

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