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 …

Ensuring that intelligent vehicles do not cause fatal collisions remains a persistent challenge
due to pedestrians' unpredictable movements and behavior. The potential for risky situations …

Ensuring that intelligent vehicles do not cause fatal collisions remains a persistent challenge
due to pedestrians' unpredictable movements and behavior. The potential for risky situations …

To reliably and safely navigate dynamic urban environments, connected automated vehicles
should anticipate the future motion of surrounding traffic agents, which can have …

As the realms of Connected Automated Vehicles (CAVs) and the Internet of Vehicles
develop, the ability to accurately forecast vehicle motions takes center stage in shaping the …

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

Ensuring the safe and effective path planning of automated vehicles in uncertain conditions
hinges on the precise and dependable anticipation of future movements of nearby vehicles …

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