Current research on advanced driver-assistance systems (ADASs) addresses the concept of
highly automated driving to further increase traffic safety and comfort. In such systems …

In recent years, due to growing interest in automated driving, the need for better
understanding the humans driving behavior, and particularly the lane changing and car …

In recent years, automated driving has gained the public spotlight as more prototypes are
tested amongst human drivers. Since driving is a social behavior, automated vehicles (AVs) …

Understanding traffic situations in dynamic traffic environments is an essential requirement
for autonomous driving. The prediction of the current traffic scene into the future is one of the …

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 …

Inspired by the “emancipation” theory of trust, this paper proposes to develop driver's trust in
assistance systems based on the assumption that driver's appropriate trust in these systems …

Predicting driver behavior is a key component for Advanced Driver Assistance Systems
(ADAS). In this paper, a novel approach based on Support Vector Machine and Bayesian …

Situation understanding is a key factor for future advanced driver assistance systems
(ADAS) to handle complex traffic situations. An important part is the prediction of future …

This paper describes the design and evaluation of a model predictive control algorithm for
automated driving on a motorway using a Vehicle Traffic Simulator. For the development of a …

Adaptive cruise control is currently one of the most widely accepted vehicle driver assistance
technologies. However, the main challenge is still due to the uncertainty about other traffic …