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Proceedings Paper

Preference voting for sensor fusion
Author(s): Gregory A. Baraghimian; Allen Klinger
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Paper Abstract

This paper compares preference voting techniques for multi-sensor decision support. The domain we are concerned with is enabling integration of visual information from diverse kinds of sensors. We define conditions imposed by: a) multi-source information fusion tasks, and b) models of multi-source decision-making processes. The results are directed toward two key problems: a) facilitating group decisions via computer support, and b) selection of related items from an image data base. We describe three methods for combining multiple assessments of image content from different sources. Two of these make use of diversity of knowledge possessed by contributers to the group decision. We assume a heterogeneous voter pool (individuals or programs), and also different credibilities for their inputs to the group decision. We present simulation results for the three decision-making methods.

Paper Details

Date Published: 1 October 1990
PDF: 12 pages
Proc. SPIE 1306, Sensor Fusion III, (1 October 1990); doi: 10.1117/12.21628
Show Author Affiliations
Gregory A. Baraghimian, Hughes Aircraft Co. (United States)
Allen Klinger, Univ. of California/Los Angeles (United States)

Published in SPIE Proceedings Vol. 1306:
Sensor Fusion III
Robert C. Harney, Editor(s)

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