Pregled bibliografske jedinice broj: 953875
Detecting UAVs Using Acoustic Camera
Detecting UAVs Using Acoustic Camera // Proceedings of the Third International Conference on Advances in Signal, Image and Video Processing SIGNAL 2018
Nica, Francuska, 2018. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Detecting UAVs Using Acoustic Camera
Autori
Ivošević, Jurica ; Radišić, Tomislav ; Muštra, Mario ; Bublić, Ivan ; Tudor, Ivan ; Varžić, Darije
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the Third International Conference on Advances in Signal, Image and Video Processing SIGNAL 2018
/ - , 2018, 1-6
Skup
The Third International Conference on Advances in Signal, Image and Video Processing SIGNAL 2018
Mjesto i datum
Nica, Francuska, 20.05.2018. - 24.05.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
UAV ; acoustic camera ; surveillance ; detection
Sažetak
Over the past decade, a huge increase in production and operation of Unmanned Aerial Vehicles (UAVs) has been present on a global scale. To maintain the required level of safety and to accommodate the expanding traffic, the governments worldwide have implemented regulations to operations of UAVs. Nonetheless, in recent years there have been numerous safety and security incidents with UAVs, which prompted an increase in research of surveillance and interdiction methods tailored for UAVs. Detection of UAVs using acoustic camera, which is the primary topic of this paper, is possible due to UAV’s propeller noise which is predominant noise source, at least in multicopter UAVs. We performed a detectability test of a commonly used custom made UAV type – multirotor with 6 motors. We concluded that small multirotor UAVs can be detected with acoustic camera, a human interpreter is necessary for detection due to the background noise, maximum detection range can be greater than with visual detection, and UAV detectability depends on UAV noise spectrum, its ratio to background noise, the dynamic range of acoustic camera, and its frequency resolution.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Tehnologija prometa i transport, Zrakoplovstvo, raketna i svemirska tehnika
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb