20 citations · 39 across the 8 of their papers we have counts for
9 papers
Collaborative Grid Mapping for Moving Object Tracking Evaluation
Rémy Huet, Antoine Lima, Philippe Xu +2
Perception of other road users is a crucial task for intelligent vehicles. Perception systems can use on-board sensors only or be in cooperation with other vehicles or with roadsid…
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown
Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui
Recently, we have been witnesses of accidents involving autonomous vehicles and their lack of sufficient information. One way to tackle this issue is to benefit from the perception…
Efficient Möbius Transformations and their applications to Dempster-Shafer Theory: Clarification and implementation
Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui
Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, offering useful additional information, but suffers from a high computational burden. A lot of work has been d…
Fusion of neural networks, for LIDAR-based evidential road mapping
Edouard Capellier, Franck Davoine, Veronique Cherfaoui +1
LIDAR sensors are usually used to provide autonomous vehicles with 3D representations of their environment. In ideal conditions, geometrical models could detect the road in LIDAR s…
Focal points and their implications for Möbius Transforms and Dempster-Shafer Theory
Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui
Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, offering useful additional information, but suffers from a much higher computational burden. A lot of work has…
Conservative, Proportional and Optimistic Contextual Discounting in the Belief Functions Theory
Marek Kurdej, Véronique Cherfaoui
Information discounting plays an important role in the theory of belief functions and, generally, in information fusion. Nevertheless, neither classical uniform discounting nor con…