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

This paper provides a literature review of some of the most important concepts, techniques,
and methodologies used within autonomous car systems. Specifically, we focus on two …

Predicting the future trajectories of multiple interacting pedestrians in a scene has become
an increasingly important problem for many different applications ranging from control of …

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 …

Pedestrian trajectory prediction is an essential component in a wide range of AI applications
such as autonomous driving and robotics. Existing methods usually assume the training and …

As mobile robots are increasingly introduced into our daily lives, it grows ever more
imperative that these robots navigate with and among people in a safe and socially …

Social interaction is an important topic in human trajectory prediction to generate plausible
paths. In this paper, we present a novel insight of group-based social interaction model to …

Pedestrian motion prediction is a fundamental task for autonomous robots and vehicles to
operate safely. In recent years many complex approaches based on neural networks have …

Predicting pedestrian movement is critical for human behavior analysis and also for safe and
efficient human-agent interactions. However, despite significant advancements, it is still …

This paper presents a novel vehicle motion forecasting method based on multi-head
attention. It produces joint forecasts for all vehicles on a road scene as sequences of multi …