Sensor Data Fusion for Anti-Personnel Land-Mine Detection
conference paper
In this paper four different sensor data fusion options for the detection of anti personnel land-mines are presented. The performance of options are evaluated in a simulated case study with estimated frgures for mines and possible fals alarm generating objects. The Dempster-Shafer implementation with best mapping for masses and uncertainty, and the rule based fusion provide the best result and show an improvement over single sensor solutions.
Topics
TNO Identifier
95125
Publisher
S.n.
Source title
Proceedings of EuroFusion 98 - International Conference on Data Fusion, 6th - 7th October 1998, Abbey Hotel, Great Malvern, UK
Editor(s)
Bedworth, M.
O'Brien, J.
O'Brien, J.
Place of publication
S.l.
Pages
55-60
Files
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