We address the problem of semantic nighttime image segmentation and improve the state-of-
the-art, by adapting daytime models to nighttime without using nighttime annotations …

A system and method for an on-demand shuttle, bus, or taxi service able to operate on
private and public roads provides situational awareness and confidence displays. The …

Driving space for autonomous vehicles (AVs) is a simplified representation of real driving
environments that helps facilitate driving decision processes. Existing literatures present …

In this paper, we present a novel probabilistic compact representation of the on-road
environment, ie, the dynamic probabilistic drivability map (DPDM), and demonstrate its utility …

Evidential grids have recently been shown to have interesting properties for mobile object
perception. Possessing only partial information is a frequent situation when driving in …

This paper presents an approach for road detection based on image segmentation. This
segmentation is resulted from merging 2D and 3D image processing data from a stereo …

Real-time modeling of the surrounding environment is a key functionality for autonomous
navigation. Bird view grid-based approaches have interesting advantages compared to …

In the context of urban autonomous navigation systems for going from point A to point B, a
practicable trajectory which takes into account drivable areas and permanent obstacles …

Occupancy grid is a popular environment model that is widely applied for autonomous
navigation of mobile robots. This model encodes obstacle information into the grid cells as a …

Les travaux de recherche présentés dans cette thèse portent sur le problème de la
perception de l'environnement en milieu urbain, complexe et dynamique et ce en présence …