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

Robot navigation in crowded public spaces is a complex task that requires addressing a
variety of engineering and human factors challenges. These challenges have motivated a …

Pedestrian trajectory prediction is a key technology in autopilot, which remains to be very
challenging due to complex interactions between pedestrians. However, previous works …

Better machine understanding of pedestrian behaviors enables faster progress in modeling
interactions between agents such as autonomous vehicles and humans. Pedestrian …

Understanding human motion behavior is critical for autonomous moving platforms (like self-
driving cars and social robots) if they are to navigate human-centric environments. This is …

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 …

Deciphering human behaviors to predict their future paths/trajectories and what they would
do from videos is important in many applications. Motivated by this idea, this paper studies …

Humans navigate complex crowded environments based on social conventions: they
respect personal space, yielding right-of-way and avoid collisions. In our work, we propose a …

Humans navigate crowded spaces such as a university campus by following common sense
rules based on social etiquette. In this paper, we argue that in order to enable the design of …

Ensuring human safety is one of the most important considerations within the field of human-
robot interaction (HRI). This does not simply involve preventing collisions between humans …