Tracking a time-varying indefinite number of objects in a video sequence over time remains
a challenge despite recent advances in the field. Most existing approaches are not able to …

Fully automated vehicles and mobile robots have to operate in a shared environment with
pedestrians in the future. To minimize the risk for pedestrians, it is very important to track …

This paper provides an improved algorithm for eliminating noise of pedestrian trajectory
data. Data have been collected from the field through video recordings. A semi-automatic …

Autonomous driving is one of the key challenges in recent time. As pedestrians are the most
vulnerable traffic participants, collisions with pedestrians have to be avoided under all …

In the future, pedestrians and fully automated vehicles have to operate in an environment
they share. To minimize the risk for pedestrians, it is very important to predict precisely their …

One of the biggest challenges in autonomous driving is situational awareness during
interaction with pedestrians where the situation as a whole has to be estimated looking …

The aim of the research is to examine whether data-driven pedestrian simulation models
can outperform the theoretical ones and provide a robust model framework for pedestrian …

Automated driving will fundamentally change future mobility. The progressive digitalisation
forms the basis for technological innovation and automation of the driving task. Numerous …