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Erschienen in:
1992 | OriginalPaper | Buchkapitel
Multi-Sensor Integration for Robots Interacting with Autonomous Objects
verfasst von : S. Bruder, M. Farooq, M. Bayoumi
Erschienen in: Active Perception and Robot Vision
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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This paper outlines the development of a sound theoretical basis for the treatment of information derived from multiple dissimilar sensors. In particular a decentralized recursive filtering procedure based on Kalman filtering theory, capable of handling unsynchronized sensory information is developed. This filtering procedure allows efficient sub-optimal reconstruction of predictive position estimates for possibly autonomous object(s) moving in 3-D space. Possible application environments include collision avoidance, and retrieval of autonomous moving objects.