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 …

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 …

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 …

Trajectory planning in the intersection is a challenging problem due to the strong uncertain
intentions of surrounding agents. Conventional methods may fail in some corner cases …

The rapidly evolving field of autonomous vehicle (AV) technology necessitates an in-depth
understanding of real-time trajectory planning methods to ensure safety, efficiency, and user …

Autonomous vehicles need to plan at the task level to compute a sequence of symbolic
actions, such as merging left and turning right, to fulfill people's service requests, where …

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 …

A key problem to be solved for automated driving is to generate a feasible trajectory
regarding the constraints imposed by vehicle physical limits and road surface. This paper …

On-road trajectory planning is a direct reflection of an autonomous vehicle's intelligence
level when traveling on an urban road. The prevalent on-road trajectory planners include the …

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 …