In many engineering problems, we encounter vagueness in information and uncertainty in
decision making, so as these phenomena cause we could not reach to certain results for our …

In this article, the contextual discounting of a belief function, a classical discounting
generalization, is extended and its particular link with the canonical disjunctive …

This work proposes a novel filtering algorithm that constitutes an extension of Bayesian
particle filters to the Dempster–Shafer theory. Our proposal solves the multi-target problem …

This work proposes a novel shape from silhouette (SfS) algorithm using the Dempster–
Shafer (DS) theory for dealing with inconsistent silhouettes. Standard SfS methods makes …

Ageing and complex underground utility infrastructure present a significant challenge for
modern society, requiring long-term monitoring and maintenance to prevent economic and …

Abstract The Transferable Belief Model is a general framework for managing imprecise and
uncertain information using belief functions. In this framework, the discounting operation …

The Automated Anti-personnel Mine (APM) detection and classification is currently a broad
issue. The detection success depends on the feature selection that we obtain from the …

After a broad introductory discussion on the mine action problem, this paper presents the
status of close‐in mine detection technologies, including operational characteristics, without …

Keypoint matching is the task of accurately finding the location of a scene point in two
images. Many keypoint descriptors have been proposed in the literature aiming at providing …

La fusion d'informations est apparue afin de gérer des quantités très importantes de
données multisources dans le domaine militaire [1, 141, 76, 77] et reste d'actualité dans ce …