The significant contribution of human errors, accounting for approximately 94%(with a
margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …

This paper presents a literature review on Intention-aware and Interaction-aware Trajectory
Prediction for Autonomous Vehicle, which covers primary studies since 2008. The research …

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

Predicting the trajectories of surrounding heterogeneous traffic agents is critical for the
decision making of an autonomous vehicle. Recently, many existing prediction methods …

In mixed and dynamic traffic environments, accurate long-term trajectory forecasting of
surrounding vehicles is one of the indispensable preconditions for autonomous vehicles to …

In the context of the booming Internet of Vehicles, predicting vehicle trajectories is crucial for
intelligent transportation systems. Existing methods, reliant on sensor data and behavior …

Vehicle trajectory prediction plays a vital role in intelligent driving modules and helps
intelligent vehicles travel safely and efficiently in complex traffic environments. Several …

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 …

In recent years, the prediction of ship trajectory based on automatic identification system
(AIS) data has become an important area of research. Among the existing studies, most …

Safety is one of the major concerns in autonomous driving tasks, and enhancing the
collision avoidance ability of connected and autonomous vehicles (CAVs) is an effective way …