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cs.CC2021
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…
cs.CV2021
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…