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Article type: Research Article
Authors: Milisavljević, Nadaa; b; * | Bloch, Isabelleb
Affiliations: [a] Signal and Image Centre, Royal Military Academy, Av. de la Renaissance 30, 1000 Brussels, Belgium. Tel.: +32 2 737 64 74; Fax: +32 2 737 64 72 | [b] Ecole Nationale Supérieure des Télécommunications, TSI – CNRS URA 820, 46 rue Barrault, 75013 Paris, France. Tel.: +33 1 45 81 75 85; Fax: +33 1 45 81 37 94; E-mail: [email protected], [email protected]
Correspondence: [*] Corresponding author.
Abstract: The metal detector is the most widely used sensor in humanitarian demining. However, it does not provide enough information for the detection of objects with a low metal content. In this paper, we propose to combine it with other sensors, as investigated within HUDEM, a technology exploration project on humanitarian demining. Based on the specificities of such objects, we propose a method for modelling and fusion of measures extracted from the sensors in the framework of the Dempster-Shafer theory. We show how these objects can be distinguished from non-metallic and highly metallic ones. We also discuss how the proposed method deals with situations where the sensors do not detect the same object.
Keywords: humanitarian mine detection, sensor fusion, Dempster-Shafer theory, mass assignment, low-metal content objects, discounting factors, sensor clustering
DOI: 10.3233/ICA-2003-10106
Journal: Integrated Computer-Aided Engineering, vol. 10, no. 1, pp. 51-61, 2003
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