Automated vehicles are expected to navigate complex urban environments safely along with
several non-cooperating agents. Therefore, accurate trajectory prediction is crucial for safe …

Autonomous vehicles need to have the ability to predict the motion of surrounding vehicles,
which will help to avoid potential accidents and make the best decision to ensure safety and …

Trajectory prediction and behavioral decision-making are two important tasks for
autonomous vehicles that require a good understanding of the environmental context …

The prediction of surrounding agent trajectories in heterogeneous traffic environments
remains a challenging task for autonomous driving due to several critical issues, such as …

Accurate and reliable prediction of vehicle trajectory is one of the core functions for
automated vehicles, and it is a keystone for high-quality local motion planning and decision …

Accurate vehicle trajectory prediction can benefit a variety of intelligent transportation system
applications ranging from traffic simulations to driver assistance. The need for this ability is …

Predicting the behaviour (ie, manoeuvre/trajectory) of other road users, including vehicles, is
critical for the safe and efficient operation of autonomous vehicles (AVs), aka, automated …

Accurate trajectory prediction is an essential task in automated driving, which is achieved by
sensing and analyzing the behavior of surrounding vehicles. Although plenty of research …

A reliable prediction of traffic participants' trajectories is challenging for automated driving.
We attempt to integrate human trajectory's temporal and spatial reciprocal consistency into …

Trajectory prediction of the ego vehicle is necessary for the cooperation driving of intelligent
vehicles and drivers. Methods based on deep learning can fit complex functions, but they …