Vehicle trajectory prediction is essential for enabling safety-critical intelligent transportation
systems (ITS) applications used in management and operations. While there have been …

Pedestrian trajectory prediction is an important technique of autonomous driving. In order to
accurately predict the reasonable future trajectory of pedestrians, it is inevitable to consider …

Multi-agent trajectory prediction is a challenging task because of the uncertainty of agents'
behaviors, interactions between agents, complex road geometry in urban environments, and …

Pedestrian trajectory prediction aims to predict future trajectories based on observed
trajectories. Current state-of-the-art methods often assume that the observed sequences of …

Enhancing roadway safety has become an essential computer vision focus area for
Intelligent Transportation Systems (ITS). As a part of ITS Vehicle Trajectory Prediction (VTP) …

Path prediction is an essential task for many real-world Cyber-Physical Systems (CPS)
applications, from autonomous driving and traffic monitoring/management to …

The inherently diverse and uncertain nature of trajectories poses a formidable challenge in
accurately modelling them. Motion prediction systems must effectively learn spatial and …

Accurate pedestrian trajectory prediction is crucial for various applications, and it requires a
deep understanding of pedestrian motion patterns in dynamic environments. However …

Trajectory prediction is a pivotal component of autonomous driving systems, enabling the
application of accumulated movement experience to current scenarios. Although most …

Accurate air quality forecasting is essential in managing outdoor activity risk and responding
to pollution emergencies. However, effectively modeling complex underlying spatiotemporal …