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Localization of drone operator using Unmanned Aerial Vehicles: Preliminary research (CROSBI ID 723501)

Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija

Magdalenić, Ivan ; Vrček, Neven ; Tomaš, Boris ; Karl Sölvi, Guðmundsson Localization of drone operator using Unmanned Aerial Vehicles: Preliminary research // Central European conference on information and intelligent systems / Vrček, Neven ; Guàrdia, Lourdes ; Grd, Petra (ur.). 2022. str. 335-339

Podaci o odgovornosti

Magdalenić, Ivan ; Vrček, Neven ; Tomaš, Boris ; Karl Sölvi, Guðmundsson

engleski

Localization of drone operator using Unmanned Aerial Vehicles: Preliminary research

The paper presents the results of a preliminary study of the localization of drone operator using other multiple Unmanned Aerial Vehicles. The emphasis is put on hardware testing, to be mounted on UAVs, in order to detect, identify and track drone signal and to enable localization of drone operator. Since UAVs can carry limited cargo mass, the challenge is to find optimal hardware in terms of ratio of mass and receiving signal capabilities and processing power. The paper describes results of the experiment where hardware, to be mounted on UAVs, is used to measure the signal strength of the intruder drone operator.

Localization, UAV, drone

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Podaci o prilogu

335-339.

2022.

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objavljeno

Podaci o matičnoj publikaciji

Central European conference on information and intelligent systems

Vrček, Neven ; Guàrdia, Lourdes ; Grd, Petra

Varaždin: Fakultet organizacije i informatike Sveučilišta u Zagrebu

1847-2001

1848-2295

Podaci o skupu

33rd Central European Conference on Information and Intelligent Systems (CECIIS 2022)

predavanje

21.09.2022-23.09.2022

Dubrovnik, Hrvatska

Povezanost rada

Informacijske i komunikacijske znanosti, Računarstvo