Deep Learning on Multi Sensor Data for Counter UAV Applications—A Systematic Review

Usage of Unmanned Aerial Vehicles (UAVs) is growing rapidly in a wide range of consumer applications, as they prove to be both autonomous and flexible in a variety of environments and tasks. However, this versatility and ease of use also brings a rapid evolution of threats by malicious actors that c...

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Bibliographic Details
Published in:	Sensors
Main Authors:	Stamatios Samaras, Eleni Diamantidou, Dimitrios Ataloglou, Nikos Sakellariou, Anastasios Vafeiadis, Vasilis Magoulianitis, Antonios Lalas, Anastasios Dimou, Dimitrios Zarpalas, Konstantinos Votis, Petros Daras, Dimitrios Tzovaras
Format:	Article
Language:	English
Published:	MDPI AG 2019-11-01
Subjects:	deep learning multi-sensor data fusion uavs security surveillance
Online Access:	https://www.mdpi.com/1424-8220/19/22/4837

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