Motion planning for autonomous vehicles sharing the road with human drivers remains
challenging. The difficulty arises from three challenging aspects: human drivers are 1) multi …

One of the major challenges in advanced driver assistance systems is the interpretation of
available environment information. It is the foundation for system activation strategies and …

This paper presents a novel risk assessment approach that allows to control the behaviour
of self driving cars. This novel continuous real-time risk assessment considers uncertainties …

Adverse weather conditions and occlusions in urban environments result in impaired
perception. The un-certainties are handled in different modules of an automated vehicle …

This paper presents an overall concept and framework of a driver model with the intent to
generate realistic traffic flow and motion while reflecting the nature of driving characteristics …

Lane-changing is a critical issue for autonomous vehicles (AVs), especially in complex
environments. In addition, different drivers have different handling preferences. How to …

One of the key factors to ensure the safe operation of autonomous and semi-autonomous
vehicles in dynamic environments is the ability to accurately predict the motion of the …

Even though motion planning for automated vehicles has been extensively discussed for
more than two decades, it is still a highly active field of research with a variety of different …

This paper studies the problem of risk-averse receding horizon motion planning for agents
with uncertain dynamics, in the presence of stochastic, dynamic obstacles. We propose a …

Predicting vehicles' behaviors in a traffic scene can be very challenging due to many
influences. Especially interactions with other traffic participants like vehicles or pedestrians …