3 papers
cs.RO2021
Learning Occupancy Priors of Human Motion from Semantic Maps of Urban Environments
Andrey Rudenko, Luigi Palmieri, Johannes Doellinger +2
Understanding and anticipating human activity is an important capability for intelligent systems in mobile robotics, autonomous driving, and video surveillance. While learning from…
cs.RO2019
THÖR: Human-Robot Navigation Data Collection and Accurate Motion Trajectories Dataset
Andrey Rudenko, Tomasz P. Kucner, Chittaranjan S. Swaminathan +3
Understanding human behavior is key for robots and intelligent systems that share a space with people. Accordingly, research that enables such systems to perceive, track, learn and…
cs.RO2019
Human Motion Trajectory Prediction: A Survey
Andrey Rudenko, Luigi Palmieri, Michael Herman +3
With growing numbers of intelligent autonomous systems in human environments, the ability of such systems to perceive, understand and anticipate human behavior becomes increasingly…