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 …

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 …

A system, particularly a decision-making concept, that facilitates highly automated driving on
freeways in real traffic is presented. The system is capable of conducting fully automated …

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

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 …

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

Estimating and predicting traffic situations over time is an essential capability for
sophisticated driver assistance systems and autonomous driving. When longer prediction …

Safe interaction with human drivers is one of the primary challenges for autonomous
vehicles. In order to plan driving maneuvers effectively, the vehicle's control system must …