Malicious UAV Detection Using Integrated Audio and Visual Features for Public Safety Applications

Malicious UAV Detection Using Integrated Audio and Visual Features for Public Safety Applications

Unmanned aerial vehicles (UAVs) have become popular in surveillance, security, and remote monitoring. However, they also pose serious security threats to public privacy. The timely detection of a malicious drone is currently an open research issue for security provisioning companies. Recently, the p...

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Bibliographic Details
Main Authors: Sonain Jamil, Fawad, MuhibUr Rahman, Amin Ullah, Salman Badnava, Masoud Forsat, Seyed Sajad Mirjavadi
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
AlexNet
feature extraction
localization
public safety
malicious drones
surveillance
Online Access:https://www.mdpi.com/1424-8220/20/14/3923

Internet

https://www.mdpi.com/1424-8220/20/14/3923

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