Tracking Using an Unmanned Aerial Vehicle (UAV)


The MASC UAV is a project by the Motion and Shape Computing Group to create an autonomous unmanned aerial vehicle (UAV) to perform Tracking and Shepherding tasks. This collaborative research with Dr. Young-Jun Son and Dr. Jian Liu at University of Arizona is supported by the Air Force Office of Scientific Research (AFOSR FA9550-12-1-0238). This web site describes a design for a multi-rotor robotic aircraft suitable for this task.

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image Principal Investigator: Jyh-Ming Lien
Students: Christopher Vo

Table of Contents


UAV Hardware Overview
Build Log
Build Instructions

Publications


A Comparative Study of Control Architectures in UAV/UGV-based Surveillance System, Amirreza M. Khaleghi and Dong Xu and Sara Minaeian and Mingyang Li and Yifei Yuan and Christopher Vo and Arsalan Mousavian and Jyh-Ming Lien and Jian Liu and Young-Jun Son, Proceedings of the Industrial and Systems Engineering Research Conference, 2014
BibTeX

DDDAMS-based Crowd Control via UAVs and UGVs, Zhenrui Wang and Mingyang Li and Amirreza M. Khaleghi and Dong Xu and Alfonso Lobos and Christopher Vo and Jyh-Ming Lien and Jian Liu and Young-Jun Son, Proceedings of the 2013 International Conference on Computational Science, 2013
BibTeX

Articles / Press



Related MASC Research Pages


Following a Group of Moving Targets
Shepherding Planning and Behaviors


List of UAV Related Pages
Computer Science @ George Mason University