The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

Accurate and reliable prediction of vehicle trajectories is closely related to the path planning
of intelligent vehicles and contributes to intelligent transportation safety, especially in …

Vehicle position prediction (VPP) is of great significance for navigation planning and traffic
safety of intelligent vehicles. In general, particle filtering (PF) uses global navigation satellite …

Contemporary research in autonomous driving has demonstrated tremendous potential in
emulating the traits of human driving. However, they primarily cater to areas with well built …

In vehicle trajectory prediction, traditional methods like Kalman filtering often rely heavily on
user expertise and prior knowledge, while newer deep learning approaches, such as Long …

The rapid development of vehicle‐to‐vehicle (V2V) communication technology provides
more opportunities to improve traffic safety and efficiency, which facilitates the exchange of …

Temporal graphs have become an essential tool for analyzing complex dynamic systems
with multiple agents. Detecting anomalies in temporal graphs is crucial for various …

Abstract Vehicle Trajectory Prediction (VTP) is one of the key technologies for autonomous
driving, which can improve the safety and collaboration of the autonomous driving system …

Trajectory behaviours of pedestrians and vehicles operating close to each other can be
different in unstructured compared to structured environments. These differences in the …

In recent years, significant advancements have been made in spatiotemporal sequence
prediction, with PredRNN++ emerging as a powerful model due to its superior ability to …