Driving in unsignalized intersections poses significant challenges for autonomous vehicles,
as various uncertainties are involved. On one hand, behaviors of vehicles in the observable …

Safely driving through various occlusion scenarios in urban environments, such as bus
stops or crosswalks, is challenging for autonomous vehicles (AVs). Improving the ability to …

When applying autonomous driving technology to real-world scenarios, environmental
uncertainties make the development of decision-making algorithms difficult. Modeling the …

Autonomous driving in urban areas requires avoiding other road users with only partial
observability of the environment. Observations are only partial because obstacles can …

State of the art emergency brake assistant systems solely based on sensor measurements
reduced the number of traffic accidents and casualties drastically in recent years. In order to …

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 …

Autonomous vehicles face big challenges guaranteeing provable safety during driving. One
of the major problems is the uncertainty arising from the perception of the surrounding …

In a mixed environment of autonomous driverless vehicles and human driven vehicles
operating on the same road, identifying intentions of human drivers and interacting with …

Behavior planning in urban environments must consider the various existing uncertainties in
an explicit way. This work proposes a behavior planner, based on a POMDP formulation …

Safe autonomous driving in urban areas requires robust algorithms to avoid collisions with
other traffic participants with limited perception ability. Current deployed approaches relying …