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Proceedings Paper

Multisensor detection schemes for mobile robots
Author(s): A. Fatemi; H. Lecocq
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Paper Abstract

In this work, mobile robot distributed detection systems are described that use multiple sources of information to construct an internal representation of its environment. We begin by considering a decision fusion model employing the parallel fusion topology. Based on their observations, local sensors make local binary decisions and transmit them to the decision fusion center where they are combined to yield the global decision. Decisions rules are obtained by using different probabilistic methods. The optimal decision scheme at the fusion center is derived, by optimizing three criterions: the mean square error, the maximum a posterior error, and the Bayesian risk. We, then, consider an optimal data fusion where the local decisions are simply added. Finally, an application to the fusion of ultrasound sonar data is presented and discussed.

Paper Details

Date Published: 30 October 1996
PDF: 11 pages
Proc. SPIE 2905, Sensor Fusion and Distributed Robotic Agents, (30 October 1996); doi: 10.1117/12.256325
Show Author Affiliations
A. Fatemi, Univ. de Liege (Belgium)
H. Lecocq, Univ. de Liege (Belgium)

Published in SPIE Proceedings Vol. 2905:
Sensor Fusion and Distributed Robotic Agents
Paul S. Schenker; Gerard T. McKee, Editor(s)

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