Abstract
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.
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© 1992 Springer-Verlag Berlin Heidelberg
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Bruder, S., Farooq, M., Bayoumi, M. (1992). Multi-Sensor Integration for Robots Interacting with Autonomous Objects. In: Sood, A.K., Wechsler, H. (eds) Active Perception and Robot Vision. NATO ASI Series, vol 83. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77225-2_20
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DOI: https://doi.org/10.1007/978-3-642-77225-2_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-77227-6
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