Predicting the trajectory of other road users, especially vulnerable road users (VRUs), is an
important aspect of safety and planning efficiency for autonomous vehicles. With recent …

Trajectory prediction plays an important role in various applications including autonomous
driving robotics and scene understanding. Existing approaches mainly focus on develo** …

Abstract Language models have demonstrated impressive ability in context understanding
and generative performance. Inspired by the recent success of language foundation models …

Human trajectory prediction is a practical task of predicting the future positions of
pedestrians on the road, which typically covers all temporal ranges from short-term to long …

Trajectory prediction is an important task that involves modeling the indeterminate nature of
agents to forecast future trajectories given the observed trajectory sequences. The task of …

Accurate prediction of agent motion trajectories is crucial for autonomous driving,
contributing to the reduction of collision risks in human-vehicle interactions and ensuring …

Aircraft trajectory prediction aims to estimate the future movements of aircraft in a scene,
which is a crucial step for intelligent air traffic management such as capacity estimation and …

Trajectory prediction aiming to forecast future trajectories based on past ones encounters
two pivotal issues: insufficient interactions and scene incompetence. The former signifies a …

There are five types of trajectory prediction tasks: deterministic stochastic domain adaptation
momentary observation and few-shot. These associated tasks are defined by various factors …

Predicting the trajectory of pedestrians in crowd scenarios is indispensable in self-driving or
autonomous mobile robot field because estimating the future locations of pedestrians …