Road user trajectory prediction in dynamic environments is a challenging but crucial task for
various applications, such as autonomous driving. One of the main challenges in this …

Due to the development of high-speed railway, Virtual Coupling has been paid more
attention to shorten the tracking distance so as to enhance the transportation capacity …

Reliable prediction for the future trajectories of the surrounding multi-class traffic participants
is critical for autonomous vehicles to drive safely and effectively in complex urban traffic. The …

Predicting the trajectory of the surrounding traffic participants is a pivotal factor in
autonomous driving. The prevalent methods in trajectory prediction hinge upon offline pre …

The prediction of the motion of traffic participants is a crucial aspect for the research and
development of Automated Driving Systems (ADSs). Recent approaches are based on multi …

Autonomous vehicles operate in highly interactive environments. They share the road with
humans and human driven vehicles, and they may share control with humans in the cabin …

Autonomous driving promises various benefits to its users, such as improved comfort, more
ecological transportation, and–most importantly–higher safety than manual driving. One …

In recent years, autonomous driving vehicles have attracted a lot of attention. In autonomous
driving, safety is the highest priority. To ensure this, scene understanding and motion …

Understanding the locations of occupants in a commercial built environment is critical for
realizing energy savings by delivering lighting, heating, and cooling only where it is needed …

To travel safely and efficiently in complex traffic scenarios, autonomous vehicles need to be
able to accurately predict the intentions and future behaviors of surrounding traffic …