The roundabout is a typical changeable, interactive scenario in which automated vehicles
should make adaptive and safe decisions. In this article, an optimization embedded …

In order to improve driving safety and achieve more accurate decisions and planning,
autonomous vehicles are required to predict the future trajectories of the surrounding …

Significant research has been carried out in the field of User Behavior Analysis, focused on
understanding, modeling and predicting past, present and future behaviors of users …

Vessel trajectory prediction is a critical aspect of ensuring maritime traffic safety and
avoiding collisions. The long short-term memory (LSTM) network and its extensions have …

Safety is of paramount importance in automated driving. One of the main challenges
ensuring safety is the unknown future behavior of surrounding traffic participants. Previous …

During a journey, a driver's aggressive behavior may greatly increase the occurrence of
traffic accidents and even lead to major traffic accidents. Here, we use a sector-shaped …

Driving through dynamically changing traffic scenarios is a highly challenging task for
autonomous vehicles, especially on urban roadways. Prediction of surrounding vehicles' …

To enable intelligent automated driving systems, a promising strategy is to understand how
human drives and interacts with road users in complicated driving situations. In this paper …

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 …

Predicting the movement of other traffic participants is an integral part in the motion planning
of most automated road vehicles. While simple predictions, eg based on assuming constant …