Adaptive Control Of Multisensor Systems

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.