The advanced driver assistance systems (ADAS) of the future will rely heavily on an
accurate and extensive description of the ego vehicle's environment based on multiple …

In this paper, we present a framework based on 3D range data to solve the problem of
simultaneous localization and mapping (SLAM) with detection and tracking of moving …

Advanced driver assistance systems (ADAS) help drivers to perform complex driving tasks
and to avoid or mitigate dangerous situations. The vehicle senses the external world using …

Perceiving or understanding the environment surrounding a vehicle is a very important step
in advanced driving assistance systems (ADAS). The task involves both Simultaneous …

La perception est un point clé pour le fonctionnement d'un véhicule autonome ou même
pour un véhicule fournissant des fonctions d'assistance. Un véhicule observe le monde …

Perceiving or understanding the environment surrounding of a vehicle is a very important
step in building driving assistant systems or autonomous vehicles. In this thesis, we study …

Autonomous vehicles require a reliable perception of their environment to operate in real-
world conditions. Awareness of moving objects is one of the key components for the …

This chapter describes detection and tracking of moving objects (DATMO) for purposes of
autonomous driving. DATMO provides awareness of road scene participants, which is …

Simultaneous localization, mapping and moving object tracking (SLAMMOT) involves both
simultaneous localization and mapping (SLAM) in dynamic environments and detecting and …

The first step of environment perception for autonomous vehicles is to estimate the
trajectories of the ego vehicle. Based on this, we can build the map of the environment and …