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 …

Human trajectory prediction is challenging and critical in various applications (eg,
autonomous vehicles and social robots). Because of the continuity and foresight of the …

To safely and efficiently navigate in complex urban traffic, autonomous vehicles must make
responsible predictions in relation to surrounding traffic-agents (vehicles, bicycles …

We present a new algorithm for predicting the near-term trajectories of road agents in dense
traffic videos. Our approach is designed for heterogeneous traffic, where the road agents …

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

This letter presents a planning system for autonomous driving among many pedestrians. A
key ingredient of our approach is Pedestrian Optimal Reciprocal Collision Avoidance, a …

Despite the advancement in the technology of autonomous driving cars, the safety of a self-
driving car is still a challenging problem that has not been well studied. Motion prediction is …

Autonomous vehicle (AV) industry has evolved rapidly during the past decade. Research
and development in each sub-module (perception, state estimation, motion planning etc.) of …

We present a real-time algorithm, SocioSense, for socially-aware navigation of a robot
amongst pedestrians. Our approach computes time-varying behaviors of each pedestrian …