This paper presents a generic approach for tactical decision-making under uncertainty in the
context of driving. The complexity of this task mainly stems from the fact that rational decision …

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 …

Automated 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 …

The Stadtpilot project aims at fully automated driving on Braunschweig's inner city ring road.
The TU Braunschweig's research vehicle “Leonie” is one of the first vehicles having the …

As autonomous vehicles begin venturing on the urban road, rational decision making is
essential for driving safety and efficiency. This paper presents a situation-aware decision …

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

This work addresses the problem of decision-making under uncertainty for robot navigation.
Since robot navigation is most naturally represented in a continuous domain, the problem is …

Urban intersections represent a complex environment for autonomous vehicles with many
sources of uncertainty. The vehicle must plan in a stochastic environment with potentially …

This paper presents an intention-aware online planning approach for autonomous driving
amid many pedestrians. To drive near pedestrians safely, efficiently, and smoothly …

Real-world autonomous driving in city traffic must cope with dynamic environments including
other agents with uncertain intentions. This poses a challenging decision-making problem …