A method for world objects tracking and prediction by an autonomous vehicle includes
receiving, from sensors of the AV, a first observation data; associating the first observation …

The present era is witnessing a rapid development of intelligent agents that interact with
humans and there is no doubt that such intelligent agents will become an integral part of …

A model predictive controller to perform a lane-merging task is proposed. We consider a
hierarchical control structure that consists of an inner and outer control loop. The inner loop …

The prediction of the future behavior of drivers is a challenging research topic. Therefore,
this paper presents a new approach for occupancy prediction of the surrounding vehicles …

The prediction dataset of trajectory, intention and maneuver is helpful to improve the
performance and comfort of autonomous vehicle, and even it is the basis of safety. This …

Cooperative driving behavior during lane-changing decision-making processes is expected
to improve the safety of autonomous vehicles. However, since the intention of the lag vehicle …

Autonomous vehicles with mature technology can improve the safety and accessibility of
vehicle transportation and reshape their mobility based on improved operating efficiency …

This work focuses on decision making for automated driving vehicles in interaction rich
scenarios like traffic merges in a flexibly assertive yet safe manner. We propose a Q-learning …

The threat assessment (TA) module in autonomous driving systems (ADS) determines the
severity of threats posed by the surrounding objects to the host vehicle. Traditionally, TA is …

Le sujet de cette thèse est lié à l'analyse de données fonctionnelles et est motivé par
l'analyse de données provenant de l'industrie automobile. Les méthodes standards …