Journal
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
Volume 56, Issue 2, Pages 1332-1345Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAES.2019.2952420
Keywords
Target tracking; Law enforcement; Genetic algorithms; Surveillance; Unmanned aerial vehicles; Crowd monitoring; intelligent control system; multiple unmanned aerial vehicle (UAV) systems; task auctioning; UAV monitoring
Funding
- Sweden's Innovation Agency-Vinnova, as part of the National Projects on Aeronautics, NFFP7, project CLASSICS [NFFP7-04890]
- CNPq
- CAPES
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This article presents the development of a multi-unmanned aerial vehicle (UAV) based crowd monitoring system, demonstrating a system that uses UAVs to periodically monitor a group of moving walking individuals. Using auction paradigms to distribute targets among UAVs and genetic algorithms to calculate the best order to visit the targets, the system has shown capabilities to efficiently perform the surveillance, visiting all the targets during a surveillance period and minimizing the time between the visits made to each target. Moreover, the system showed robustness keeping the good performance under a variety of situations.
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