
Efficient Möbius Transformations and their applications to DempsterShafer Theory: Clarification and implementation
DempsterShafer Theory (DST) generalizes Bayesian probability theory, of...
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Efficient exact computation of the conjunctive and disjunctive decompositions of DS Theory for information fusion: Translation and extension
DempsterShafer Theory (DST) generalizes Bayesian probability theory, of...
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Fusion of neural networks, for LIDARbased evidential road mapping
LIDAR sensors are usually used to provide autonomous vehicles with 3D re...
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Focal points and their implications for Möbius Transforms and DempsterShafer Theory
DempsterShafer Theory (DST) generalizes Bayesian probability theory, of...
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Conservative, Proportional and Optimistic Contextual Discounting in the Belief Functions Theory
Information discounting plays an important role in the theory of belief ...
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DAARIA: Driver Assistance by Augmented Reality for Intelligent Automobile
Taking into account the drivers' state is a major challenge for designin...
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Mapaided Fusion Using Evidential Grids for Mobile Perception in Urban Environment
Evidential grids have been recently used for mobile object perception. T...
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Véronique Cherfaoui
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