6 March 2002 Bayesian approach to sensor fusion in a multisensor land mine detection system
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Abstract
In the present study, the investigation by General Dynamics Canada, formerly Computing Devices Canada, into Bayesian Inference shows improved sensor fusion of multiple scanning sensors in the detection of buried anti-tank (AT) mines. This algorithm uses statistical data taken from trials and constructs conditional probabilities for individual sensors in order to better discern landmines.
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David Erickson, David Erickson, Ray Kacelenga, Ray Kacelenga, David Palmer, David Palmer, } "Bayesian approach to sensor fusion in a multisensor land mine detection system", Proc. SPIE 4731, Sensor Fusion: Architectures, Algorithms, and Applications VI, (6 March 2002); doi: 10.1117/12.458390; https://doi.org/10.1117/12.458390
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