Tactical maneuver planning is one of the key enablers for automated driving. The
challenges include complex situations in urban areas and the uncertain behavior of other …

The evolving autonomous driving technology has been attracting significant research efforts
in both academia and industry because of its promising potentials. Eliminating the human …

Résumé Au cours des dernières décennies, les constructeurs automobiles ont constamment
introduit des innovations technologiques visant à rendre les véhicules plus sûrs. Le niveau …

Autonomous driving is the metaphorical modern day space race, in the sense that it is an
immensely challenging task that spans numerous domains. Successful self-driving systems …

This paper presents a preliminary conceptual investigation into an environment
representation that has constant space complexity with respect to the camera image space …

This study presents solutions to decision making for autonomous driving based on
reinforcement learning and shared control between human driver and machine. The main …

ABSTRACT Markov Decision Processes (MDPs) are mathematical models of sequential
decision-making under uncertainty that have found applications in healthcare …

Motion Planning is a fundamental component of a mobile robot to reach its goal safely
avoiding collision. For a self-driving car on a highway, the presence of non-communicating …

We study the problem of computationally efficient control synthesis for Interval Markov
Decision Processes (IMDPs), that is, MDPs with interval uncertainty on the transition …

Automated vehicles are expected to push towards the evolution of transportation systems
and exploit the use of vehicular technologies. This thesis investigates the fundamentals of …