As autonomous driving technology progresses, the need for precise trajectory prediction
models becomes paramount. This paper introduces an innovative model that infuses …

In the burgeoning field of autonomous vehicles (AVs), trajectory prediction remains a
formidable challenge, especially in mixed autonomy environments. Traditional approaches …

In autonomous vehicle (AV) technology, the ability to accurately predict the movements of
surrounding vehicles is paramount for ensuring safety and operational efficiency …

Trajectory prediction plays a vital role in the performance of autonomous driving systems,
and prediction accuracy, such as average displacement error (ADE) or final displacement …

Trajectory prediction plays a vital role in the performance of autonomous driving systems,
and prediction accuracy, such as average displacement error (ADE) or final displacement …

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 …

Understanding traffic participants' behaviour is crucial for predicting their future trajectories,
aiding in developing safe and reliable planning systems for autonomous vehicles …

Predicting trajectories of participating vehicles is a crucial task towards full and safe
autonomous driving. General unconstrained machine learning methods often report …

As a safety critical task, autonomous driving requires accurate predictions of road users'
future trajectories for safe motion planning, particularly under challenging conditions. Yet …

Accurately and safely predicting the trajectories of surrounding vehicles is essential for fully
realizing autonomous driving (AD). This paper presents the Human-Like Trajectory …