With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …

Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …

Since the past few decades, human trajectory forecasting has been a field of active research
owing to its numerous real-world applications: evacuation situation analysis, deployment of …

The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …

Predicting diverse human motions given a sequence of historical poses has received
increasing attention. Despite rapid progress, existing work captures the multi-modal nature …

Predicting workers' trajectories on unstructured and dynamic construction sites is critical to
workplace safety yet remains challenging. Existing prediction methods mainly rely on entity …

This paper aims to deal with the ignored real-world complexities in prior work on human
motion forecasting, emphasizing the social properties of multi-person motion, the diversity of …

Vision-based prediction algorithms have a wide range of applications including autonomous
driving, surveillance, human-robot interaction, weather prediction. The objective of this …

Human motion prediction, especially arm prediction, is critical to facilitate safe and efficient
human-robot collaboration (HRC). This letter proposes a novel human motion prediction …

Multi-agent trajectory prediction is a fundamental problem in autonomous driving. The key
challenges in prediction are accurately anticipating the behavior of surrounding agents and …