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Drone Detection,
Characterization, and Localization
We have published award-winning
research on drone detection. Our work,
Matthan, received an ACM SIGMOBILE
Research Highlights Award.
- ACM SIGMOBILE Research Highlights Award:
Phuc Nguyen, Hoang Truong, Mahesh
Ravindranathan, Anh Nguyen, Richard Han, Tam Vu,
"Matthan:
Drone Presence Detection by Identifying
Physical Signatures in the Drone’s RF
Communication", ACM
International Conference on Mobile Systems,
Applications, and Services (MobiSys) 2017,
pp. 211-224.
Drones are flying
in dangerous airspaces, so we need an early warning
system to detect their presence that is cheap and
effective. We propose to use WiFi access points
suitably augmented to detect the RF emissions of
drones.
DroneScale extends our Matthan drone
detection work by learning more from the RF signal
transmitted by the drone. In particular, we can
infer the added weight of a package carried by the
drone by listening to the increased rotation rate of
the propellors and its effect on the transmitted RF
signal. This work was published at ACM SenSys
2020.
- VP Nguyen,
Vimal Kakaraparthi, Nam Bui, Nikshep Umamahesh,
Nhat Pham, Hoang Truong, Yeswanth Guddeti, Dinesh
Bharadia, Eric Frew, Richard Han, Daniel Massey
and Tam Vu, "DroneScale: Drone Load Estimation Via
Remote Passive RF Sensing", ACM SenSys Conference
2020, pp. 326-339.
We published an early
version of drone detection at DroNet 2016:
- Phuc Nguyen, Mahesh Ravindranathan, Anh
Nguyen, Richard Han, Tam Vu, "Investigating
Cost-effective RF-based Detection of Drones",
2nd Workshop on Micro Aerial Vehicle Networks,
Systems, and Applications for Civilian Use (DroNet
2016), pp. 17-22, ISBN: 978-1-4503-4405-0, doi>10.1145/2935620.2935632.
Once a drone is detected, it
is important to know where the drone is
located. We have published initial work on drone
localization at DroNet 2019. Our
work not only localizes the drone, but also its
controller, which is important in certain
applications:
- Phuc Nguyen, Taeho Kim, Jinpeng Miao, Daniel
Hesselius, Erin Kenneally, Daniel Massey, Eric
Frew, Richard Han and Tam Vu, "Towards
RF-based Localization of a Drone and Its
Controller", 5th ACM Workshop on Micro
Aerial Vehicle Networks, Systems and
Applications (DroNet) 2019, pp. 21-26,
DOI: 10.1145/3325421.3329766.
Airborne Sensor Networks
We also published early work on airborne sensor
networks using fixed-wing MAVs (Micro Air Vehicles):
- J. Allred, A. B. Hasan, S. Panichsakul, B.
Pisano, P. Gray, J. Huang, R. Han, D. Lawrence,
K. Mohseni, "SensorFlock:
An Airborne Wireless Sensor Network of
Micro-Air Vehicles", ACM SenSys 2007,
pp. 117-129.
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