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Proceedings Paper

Multisensor combination for vehicle-based mine detection
Author(s): Brian M. Duston; Chanchal Chatterjee
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Paper Abstract

This survey paper presents several different methods for combining multiple mine detection sensors on a vehicle. There are many methods of classifier combination that have been proposed recently that may, more generally, be applied to the problem of sensor fusion. These sensor fusion algorithms include the majority vote, unanimous consensus, thresholded voting, polling methods which utilize heuristic decision rules, the averaged Bayes classifier, applying logistic regression to the outputs of each classifier, and using Dempster-Shafer theory to derive weights for each sensor's vote.

Paper Details

Date Published: 17 July 1998
PDF: 8 pages
Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); doi: 10.1117/12.327108
Show Author Affiliations
Brian M. Duston, GDE Systems Inc. (United States)
Chanchal Chatterjee, GDE Systems Inc. (United States)

Published in SPIE Proceedings Vol. 3374:
Signal Processing, Sensor Fusion, and Target Recognition VII
Ivan Kadar, Editor(s)

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