Uncertainties in dynamical driving environments are crucial to the decision making and
trajectory planning modules for autonomous vehicles. Without proper handling of such …

For autonomous vehicles, scene understanding is still one of the major challenges, which
needs to be well handled to avoid jittery decisions and unsmooth trajectories. Furthermore …

On highways, the interaction with surrounding vehicles is very crucial for the decision-
making and planning of autonomous vehicles. However, the multi-modal driving intentions …

Motion planning and decision-making while considering uncertainty is critical for an
autonomous vehicle to safely and efficiently drive on a highway. This paper presents a new …

Driving through dense urban environments is difficult for autonomous vehicles because they
must reason about the unknown intentions of a large number of road users while also …

Autonomous driving requires decision making in dynamic and uncertain environments. The
uncertainty from the prediction originates from the noisy sensor data and from the fact that …

Autonomous vehicles need to face human-driving vehicles with their uncertain intentions in
dynamic urban environment. Thus it leads to a challenging decision-making problem. In this …

Autonomous vehicles need to perform social accepted behaviors in complex urban
scenarios including human‐driven vehicles with uncertain intentions. This leads to many …

Driving autonomous vehicles safely through a complex urban environment remains a
difficult task. The sensor limitations, as well as the various occlusions in the urban …

Efficient intersection planning is one of the most challenging tasks for an autonomous
vehicle at present. Politeness to other traffic participants and reaction to surrounding …