Vehicle-trajectory prediction is essential for intelligent traffic systems (ITS), as it can help
autonomous vehicles to plan a safe and efficient path. However, it is still a challenging task …

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 …

Autonomous vehicles need the ability to predict the trajectory of surrounding vehicles, so as
to make a rational decision planning, improve driving safety and ride comfort. In this paper, a …

Compared to non-connected vehicle environments, the connected vehicle environment
establishes vehicle interconnection through communication technologies, resulting in more …

Multi-step vehicle trajectory prediction has been of great significance for location-based
services, eg, actionable advertising. Prior works focused on adopting pattern-matching …

It is essential for autonomous vehicles at level 3 or higher to have the ability to predict the
trajectories of surrounding vehicles to safely and effectively plan and drive along trajectories …

Self-driving vehicles need to continuously analyse the driving scene, understand the
behavior of other road users and predict their future trajectories in order to plan a safe …

Trajectory prediction aims to estimate the future location of the vehicle based on its historical
motion state, which is essential for driving decision-making and local motion planning of …

It is of great interest for autonomous vehicles to predict the trajectory of other vehicles when
planning a safe trajectory. To accurately predict the trajectory of the target vehicle, the …

Recent years have witnessed the advent and prevalence of deep learning that have
provoked storms in ITS (Intelligent Transportation Systems). Consequently, traditional ML …