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Recovering the 3D UUV Position Using UAV Imagery in Shallow-Water Environments (CROSBI ID 722521)

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

Đuraš, Antun ; Sukno, Matija ; Palunko, Ivana Recovering the 3D UUV Position Using UAV Imagery in Shallow-Water Environments // Proceedings of 2022 International Conference on Unmanned Aircraft Systems (ICUAS). 2022. str. 948-954

Podaci o odgovornosti

Đuraš, Antun ; Sukno, Matija ; Palunko, Ivana

engleski

Recovering the 3D UUV Position Using UAV Imagery in Shallow-Water Environments

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.

location awareness ; three-dimensional displays ; atmospheric modeling ; acoustic measurements ; aircraft navigation ; data models ; acoustics

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Podaci o prilogu

948-954.

2022.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of 2022 International Conference on Unmanned Aircraft Systems (ICUAS)

Podaci o skupu

International Conference on Unmanned Aircraft Systems (ICUAS)

predavanje

21.06.2022-24.06.2022

Dubrovnik, Hrvatska

Povezanost rada

Računarstvo