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12/12/2022
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown
Recently, we have been witnesses of accidents involving autonomous vehic...
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07/15/2021
Efficient Möbius Transformations and their applications to Dempster-Shafer Theory: Clarification and implementation
Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, of...
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07/13/2021
Efficient exact computation of the conjunctive and disjunctive decompositions of D-S Theory for information fusion: Translation and extension
Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, of...
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02/05/2021
Fusion of neural networks, for LIDAR-based evidential road mapping
LIDAR sensors are usually used to provide autonomous vehicles with 3D re...
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11/12/2020
Focal points and their implications for Möbius Transforms and Dempster-Shafer Theory
Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, of...
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12/19/2013
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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09/27/2012
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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07/04/2012
