Abstract Advanced Driver Assistance Systems (ADAS) have made driving safer over the last
decade. They prepare vehicles for unsafe road conditions and alert drivers if they perform a …

This article presents a review of recent literature of intersection behavior analysis for three
types of intersection participants; vehicles, drivers, and pedestrians. In this survey, behavior …

This article reviewed both studies on general smart car technologies and human–computer
interaction (HCI)/human–vehicle interaction studies that were published in journals and …

We study techniques for monitoring and understanding real-world human activities, in
particular of drivers, from distributed vision sensors. Real-time and early prediction of …

Many improvements have been made in the area of vehicle safety and pedestrian
protection; however, urban intersections are still black spots for Advanced Driver Assistance …

This contribution proposes a novel algorithm for predicting maneuvers at intersections. With
applicability to driver assistance systems and autonomous driving, the presented …

In this work an approach is presented to model and recognize traffic maneuvers in terms of
interactions between different traffic participants on extra urban roads. Results of the …

For a mobile assistive robot operating in a human-populated environment, a polite
navigation is an important requirement for the social acceptance. When operating in a …

The use of map based representative velocity profiles allows to predict the future state of a
vehicle. The suggested approach is based on Fast Dynamic Time Warping. Spectral …

Detecting the road terrain ahead of the ego-vehicle is an important issue for modern driver
assistance systems. In particular, vehicle motion planning in inner city environment requires …