Lately, Autonomous vehicles (AV) have been gaining traction globally owing to their huge
social, economic and environmental benefits. However, the rising safety apprehensions for …

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 …

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 …

Generative Adversarial Networks (GANs) have been widely applied in different scenarios
thanks to the development of deep neural networks. The original GAN was proposed based …

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

Capturing high-dimensional social interactions and feasible futures is essential for
predicting trajectories. To address this complex nature, several attempts have been devoted …

The indeterminate nature of human motion requires trajectory prediction systems to use a
probabilistic model to formulate the multi-modality phenomenon and infer a finite set of …

The objective of pedestrian trajectory prediction is to estimate the future paths of pedestrians
by leveraging historical observations, which plays a vital role in ensuring the safety of self …

An accurate and robust localization system is crucial for autonomous vehicles (AVs) to
enable safe driving in urban scenes. While existing global navigation satellite system …

Analyzing and forecasting trajectories of agents like pedestrians and cars in complex scenes
has become more and more significant in many intelligent systems and applications. The …