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 behavior and trajectory planning is one of the major challenges for automated
driving. Especially intersection scenarios are very demanding due to their complexity arising …

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 …

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 …

Trajectory planning is one of the most important modules of the Autonomous Driving
Systems (ADSs), which aims to achieve a safe and comfortable interaction between the …

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 …

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 …

In this article, we propose an optimization-based integrated behavior planning and motion
control scheme, which is an interpretable and adaptable urban autonomous driving solution …

When driving in urban environments, an autonomous vehicle must account for the
interaction with other traffic participants. It must reason about their future behavior, how its …

This paper presents the design and first test on a simulator of a vehicle trajectory-planning
algorithm that adapts to traffic on a lane-structured infrastructure such as highways. The …