As a core function of autonomous driving (AD) and the Internet of Vehicles (IoV), accurately
predicting the trajectory of vehicles can significantly improve traffic safety and reduce crash …

The ability to accurately predict the trajectory of surrounding vehicles is a critical hurdle to
overcome on the journey to fully autonomous vehicles. To address this challenge, we …

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 …

Accurately predicting the trajectory of road agents in complex traffic scenarios is challenging
because the movement patterns of agents are complex and stochastic, not only depending …

Vehicle trajectory prediction is essential in ensuring the safe and efficient operation of
advanced driver assistance systems (ADAS) and autonomous vehicles (AVs), as it enables …

Automated Vehicles (AVs) have been receiving increasing attention as a potential highly
mechanised, intelligent, self-regulating futuristic mode of transport. AVs are predicted to …

Vehicle trajectory prediction is essential for advanced driver assistance systems (ADAS) and
autonomous vehicles (AVs), playing a crucial role in collision avoidance, path planning, and …

Augmented Intelligence of Things (AIoT) combines augmented intelligence algorithms with
the massive data collected by IoT devices, enabling more advanced decision-making. The …

The driving safety of automated vehicles is largely dependent on accurately predicting the
motions of surrounding vehicles. However, the existing approaches invariably neglect the …

Accurately predicting trajectory of vehicles is a key capability for autonomous vehicles
during real-world driving scenarios, which requires the autonomous vehicles to perceive the …