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Proceedings Paper

Recursive strategies for decision fusion in imperfect multisensor environments: part I--fusion benefits
Author(s): Belur V. Dasarathy
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Paper Abstract

This paper presents alternative strategies framed within a recursive structure for enhancing multisensor system performance through fusion of individual decisions derived from imperfect sensors. A confidence measure can be associated with each decision derived from an imperfect sensor and as such, decisions obtained with a confidence less than an acceptable threshold value are viewed as non-decisions in developing the fused decision. The initial and asymptotic performances of these alternative strategies are analyzed and compared against the datum of single sensor performance.

Paper Details

Date Published: 22 June 1994
PDF: 12 pages
Proc. SPIE 2233, Sensor Fusion and Aerospace Applications II, (22 June 1994); doi: 10.1117/12.179044
Show Author Affiliations
Belur V. Dasarathy, Dynetics, Inc. (United States)


Published in SPIE Proceedings Vol. 2233:
Sensor Fusion and Aerospace Applications II
Nagaraj Nandhakumar, Editor(s)

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