FogSurv: A Fog-Assisted Architecture for Urban Surveillance Using Artificial Intelligence and Data Fusion

FogSurv: A Fog-Assisted Architecture for Urban Surveillance Using Artificial Intelligence and Data Fusion

<italic>Urban surveillance</italic>, of which airborne urban surveillance is a vital constituent, provides <italic>situational awareness</italic> (SA) and timely response to emergencies. The significance and scope of urban surveillance has increased manyfold in recent years d...

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Bibliographic Details
Main Authors: Arslan Munir, Jisu Kwon, Jong Hun Lee, Joonho Kong, Erik Blasch, Alexander J. Aved, Khan Muhammad
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Urban surveillance
situational awareness
fog computing
unmanned aerial vehicles
information fusion
artificial intelligence
Online Access:https://ieeexplore.ieee.org/document/9507513/

Internet

https://ieeexplore.ieee.org/document/9507513/

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