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

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
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
Series:Sensors
Subjects:
deep learning
multi-sensor
data fusion
uavs
security
surveillance
Online Access:https://www.mdpi.com/1424-8220/19/22/4837

Internet

https://www.mdpi.com/1424-8220/19/22/4837

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