While motion planning techniques for automated vehicles in a reactive and anticipatory
manner are already widely presented, approaches to cooperative motion planning are still …

While motion planning techniques for automated vehicles in a reactive and anticipatory
manner have already been widely presented, cooperative motion planning has only been …

In order to generate favorable trajectories, road users need to cope with interaction among
them, especially in dense traffic. Thus, for autonomous cars, the intention of involved …

This thesis is concerned with the development of trajectory planning approaches targeting
autonomous driving applications in dynamic environments shared with other traffic …

Planning an interactive and cooperative behavior in the vicinity of multiple decision-makers
is a challenging task. The game-theoretic perspective provides a suitable framework to …

A main difficulty in autonomous driving is the assurance of maneuver acceptability by other
traffic participants. Thus, knowledge about social interaction needs to be incorporated into …

Motion planning is a process of constant negotiation with the rest of the traffic agents and is
highly conditioned by their movement prediction. Indeed, an incorrect prediction could cause …

In behavior planning for autonomous vehicles, other traffic participants have to be
considered. This is typically achieved by using a prediction model to estimate their future …

While motion planning approaches for automated driving often focus on safety and
mathematical optimality with respect to technical parameters, they barely consider …

The shift that we are witnessing toward automated, connected, electric, and shared vehicular
transportation is likely to be the most disruptive since the early days of automobiles …