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 …

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

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 …

Efficient trajectory planning for urban intersections is currently one of the most challenging
tasks for an Autonomous Vehicle (AV). Courteous behavior towards other traffic participants …

Many everyday traffic situations require cooperation among traffic participants to establish
the order in which they pass a shared part of the road. Behavior planners which do not take …

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 …

This paper presents an efficient model for combining automotive trajectory planning with
predicted environment interactions, named progressively interacting trajectories (PITRA). It …

In this work, we present a decision-making system for automated vehicles driving in highway
environments. The task is modeled as a Partially Observable Markov Decision Process, in …

Efficient driving in urban traffic scenarios requires foresight. The observation of other traffic
participants and the inference of their possible next actions depending on the own action is …

Quantifying and encoding occupants' preferences as an objective function for the tactical
decision making of autonomous vehicles is a challenging task. This paper presents a low …