Multisensor combination for vehicle-based mine detection

Brian M. Duston; Chanchal Chatterjee

doi:10.1117/12.327108

17 July 1998 Multisensor combination for vehicle-based mine detection

Brian M. Duston, Chanchal Chatterjee

Proceedings Volume 3374, Signal Processing, Sensor Fusion, and Target Recognition VII; (1998) https://doi.org/10.1117/12.327108
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Brian M. Duston and Chanchal Chatterjee "Multisensor combination for vehicle-based mine detection", Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); https://doi.org/10.1117/12.327108

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