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Multi-UAV Based Crowd Monitoring System
Linköpings universitet, Institutionen för datavetenskap, Programvara och system. Linköpings universitet, Tekniska fakulteten. Univ Fed Rio Grande do Sul, Brazil.
Univ Fed Rio Grande do Sul, Brazil.
2020 (engelsk)Inngår i: IEEE Transactions on Aerospace and Electronic Systems, ISSN 0018-9251, E-ISSN 1557-9603, Vol. 56, nr 2, s. 1332-1345Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

sted, utgiver, år, opplag, sider
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2020. Vol. 56, nr 2, s. 1332-1345
Emneord [en]
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
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Identifikatorer
URN: urn:nbn:se:liu:diva-165964DOI: 10.1109/TAES.2019.2952420ISI: 000528545800034OAI: oai:DiVA.org:liu-165964DiVA, id: diva2:1434906
Merknad

Funding Agencies|Swedens Innovation Agency-Vinnova, as part of the National Projects on Aeronautics, NFFP7, project CLASSICS [NFFP7-04890]; CNPqNational Council for Scientific and Technological Development (CNPq); CAPESCAPES

Tilgjengelig fra: 2020-06-04 Laget: 2020-06-04 Sist oppdatert: 2020-06-04

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