Accurate and reliable prediction of future motions of the nearby agents and effective
environment understanding will contribute to high-quality and meticulous path planning for …

Understanding social interactions between a vehicle and its surrounding agents enables
effective path prediction, which is critical for the motion planning and safe navigation of …

Reliably anticipating the future behavior of surrounding vehicles is critical for the safe
operation of the Connected Automated Vehicles (CAV) and improves traffic safety. This task …

Reliable motion prediction of surrounding vehicles is the key to safe and efficient driving of
autonomous vehicles, especially at urban intersections with complex traffic environments …

To safely and successfully navigate complex and dense driving scenes, automated vehicles
need to develop situational awareness, which requires understanding the current behavior …

Accurate and efficient prediction of future motions of surrounding vehicles plays a crucial
role in navigating complex traffic scenarios for automated vehicles. To address the poor …

Intelligent driving has been prevailing worldwide and is also challenging, which can be
complicated by the factors of human drivers. In this paper, a novel collision avoidance …

Forecasting the future paths of surrounding vehicles of a Connected Autonomous Vehicle
(CAV) can enhance connectivity and efficiency of vehicular networks, and accurate motion …

In the realm of the Internet of Vehicles (IoV), this study addresses a fundamental question
that causes the emerging trends within the IoV landscape, Previous research in IoV has laid …

Situational awareness can help the safety of automated vehicles, which involves
understanding and forecasting the motions of nearby road users. Accurate motion …