Pregled bibliografske jedinice broj: 1213102
Recovering the 3D UUV Position Using UAV Imagery in Shallow-Water Environments
Recovering the 3D UUV Position Using UAV Imagery in Shallow-Water Environments // Proceedings of 2022 International Conference on Unmanned Aircraft Systems (ICUAS)
Dubrovnik, Hrvatska, 2022. str. 948-954 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1213102 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Recovering the 3D UUV Position Using UAV Imagery in
Shallow-Water Environments
Autori
Đuraš, Antun ; Sukno, Matija ; Palunko, Ivana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 2022 International Conference on Unmanned Aircraft Systems (ICUAS)
/ - , 2022, 948-954
Skup
International Conference on Unmanned Aircraft Systems (ICUAS)
Mjesto i datum
Dubrovnik, Hrvatska, 21.06.2022. - 24.06.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
location awareness ; three-dimensional displays ; atmospheric modeling ; acoustic measurements ; aircraft navigation ; data models ; acoustics
Sažetak
In this paper we propose a novel approach aimed at recovering the 3D position of an UUV from UAV imagery in shallow-water environments. Through combination of UAV and UUV measurements, we show that our method can be utilized as an accurate and cost-effective alternative when compared to acoustic sensing methods, typically required to obtain ground truth information in underwater localization problems. Furthermore, our approach allows for a seamless conversion to geo- referenced coordinates which can be utilized for navigation purposes. To validate our method, we present the results with data collected through a simulation environment and field experiments, demonstrating the ability to successfully recover the UUV position with sub-meter accuracy.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
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