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 research of Professor Jyh-Ming Lien and student Christopher Vo in collaboration with Dr. Young-Jun Son and Dr. Jian Liu at the University of Arizona was 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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MASC Quadrotor UAV Platform (Photo: Christopher Vo)

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Autonomous Positioning in the Nguyen Engineering Building (Photo: Washington Post)

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MASC Hex-rotor UAV Platform (Photo: Christopher Vo)

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Christopher Vo speaks at Smithsonian's "Future is Here" conference (Photo: Smithsonian)

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

Publications


A DDDAMS-Based UAV and UGV Team Formation Approach for Surveillance and Crowd Control, Amirreza M. Kaleghi and Dong Xu and Sara Minaeian and Mingyang Li and Yifei Yuan and Jian Liu and Young-Jun Son and Christopher Vo and Jyh-Ming Lien, Proceedings of the 2014 Winter Simulation Conference, 2014
Web Site / BibTeX

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