Modeling and understanding the environment is an essential task for autonomous driving. In
addition to the detection of objects, in complex traffic scenarios the motion of other road …

In autonomous driving, accurately estimating the state of surrounding obstacles is critical for
safe and robust path planning. However, this perception task is difficult, particularly for …

In this work, we tackle the problem of modeling the vehicle environment as dynamic
occupancy grid map in complex urban scenarios using recurrent neural networks. Dynamic …

Ce manuscrit de thèse de doctorat présente les travaux réalisés durant trois ans sur le sujet
de la reconnaissance des véhicules présents dans la scène à partir du modèle …

Recent supervised 3D deep learning methods have demonstrated a remarkable
performance in the area of scene flow estimation. Nevertheless, one common pitfall of the …

US11625839B2 - Bird's eye view based velocity estimation via self-supervised learning -
Google Patents US11625839B2 - Bird's eye view based velocity estimation via self-supervised …

Systems and methods determining velocity of an object associated with a three-dimensional
(3D) scene may include: a LIDAR system generating two sets of 3D point cloud data of the …