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Underwater Drone Architecture for Marine Digital Twin: Lessons Learned from SUSHI DROP Project

Articolo
Data di Pubblicazione:
2022
Abstract:
The ability to observe the world has seen significant developments in the last few decades, alongside the techniques and methodologies to derive accurate digital replicas of observed environments. Underwater ecosystems present greater challenges and remain largely unexplored, but the need for reliable and up-to-date information motivated the birth of the Interreg Italy-Croatia SUSHI DROP Project (SUstainable fiSHeries wIth DROnes data Processing). The aim of the project is to map ecosystems for sustainable fishing and to achieve this goal a prototype of an Unmanned Underwater Vehicle (UUV), named Blucy, has been designed and developed. Blucy was deployed during project missions for surveying the benthic zone in deep waters of the Adriatic Sea with non-invasive techniques compared to the use of trawl nets. This article describes the strategies followed, the instruments applied and the challenges to be overcome to obtain an accurately georeferenced underwater survey with the goal of creating a marine digital twin.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
UUV; ROV; AUV; surveying; monitoring; marine; digital twin
Elenco autori:
Caccia, Massimo; Bruzzone, Gabriele; Bibuli, Marco; Odetti, Angelo
Autori di Ateneo:
BIBULI MARCO
BRUZZONE GABRIELE
CACCIA MASSIMO
ODETTI ANGELO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/448963
Pubblicato in:
SENSORS (BASEL)
Journal
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