Sensor fusion algorithms for the detection of land mines

Marcel G. J. Breuers; Piet B. W. Schwering; Sebastiaan P. van den Broek

doi:10.1117/12.356996

2 August 1999 Sensor fusion algorithms for the detection of land mines

Marcel G. J. Breuers, Piet B. W. Schwering, Sebastiaan P. van den Broek

Proceedings Volume 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV; (1999) https://doi.org/10.1117/12.356996
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

This paper reports on selection of suitable sensor fusion techniques for use in hand carried and vehicle mounted mine detection systems for HOM-2000. Various techniques like Bayes, Dempster-Shafer, voting logic and neural networks are considered. Guidelines for selection of an appropriate fusion level are formulated. Experimental data are presented to illustrate the advantages that can be obtained through the use of sensor fusion.

Citation Download Citation

Marcel G. J. Breuers, Piet B. W. Schwering, and Sebastiaan P. van den Broek "Sensor fusion algorithms for the detection of land mines", Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); https://doi.org/10.1117/12.356996

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