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Alessandro Antonucci
Also published under:A. Antonucci
Affiliation
Department of Information Engineering and Computer Science, University of Trento, Trento, Italy
Topic
Extended Kalman Filter,Human Motion,Path Planning,Service Robots,Social Forces,Covariance Matrix,Local Plane,Pedestrian,Position Uncertainty,Radio Frequency Identification,Reference Frame,Ultra-wideband,Uncertainty Contribution,Walking Direction,3D Coordinates,Actual Trajectory,Algorithm Running,Angle Difference,Antenna Array,Artificial Potential Field,Attractive Forces,Bluetooth Low Energy,Body Frame,Body Points,Bounding Box,C++ Implementation,Calibration Procedure,Circular Path,Collision Point,Configuration Parameters,Deep Neural Network,Depth Map,Digital Signal Processing,Direction Of Motion,Distancing Measures,Dynamic Conditions,Estimation Algorithm,Facial Expressions,Fast Fourier Transform,Forward Direction,Forward Velocity,Frequency Modulated Continuous Wave,Generative Adversarial Networks,Global Reference Frame,Goal Position,High Uncertainty,Human Behavior,Human Motion Prediction,Human Operator,Human Trajectory,
Biography
Alessandro Antonucci received the M.S. degree in mechatronic engineering from the University of Trento, Trento, Italy, in 2018, where he is currently pursuing the Ph.D. degree with the Department of Information Engineering and Computer Science (DISI), Embedded Electronics and Computing Systems (EECS) Group.
His research interests include human–robot interaction, pedestrian motion tracking and prediction, and machine learning.
His research interests include human–robot interaction, pedestrian motion tracking and prediction, and machine learning.