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Article

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

1
Department of Civil, Chemical, Environmental, and Materials Engineering (DICAM), University of Bologna, 40136 Bologna, Italy
2
Department of Electrical, Electronic and Information Engineering (DEI) “Guglielmo Marconi”, University of Bologna, 40136 Bologna, Italy
3
Department of Biological, Geological, and Environmental Sciences (BIGEA), University of Bologna, 40126 Bologna, Italy
4
Italian National Research Council—Institute of Marine Engineering (CNR—INM), 16149 Genoa, Italy
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Lambertini, A.; Menghini, M.; Cimini, J.; Odetti, A.; Bruzzone, G.; Bibuli, M.; Mandanici, E.; Vittuari, L.; Castaldi, P.; Caccia, M.; et al. Monitoring and Surveying from an Underwater Vehicle in SUSHI DROP Project. In Proceedings of the 2021 International Workshop on Metrology for the Sea, Learning to Measure Sea Health Parameters (MetroSea), Reggio Calabria, Italy, 4–6 October 2021; pp. 189–193.
Academic Editors: Salvatore Gaglione and Marc Le Menn
Sensors 2022, 22(3), 744; https://doi.org/10.3390/s22030744
Received: 15 December 2021 / Revised: 14 January 2022 / Accepted: 16 January 2022 / Published: 19 January 2022
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. View Full-Text
Keywords: UUV; ROV; AUV; surveying; monitoring; marine; digital twin UUV; ROV; AUV; surveying; monitoring; marine; digital twin
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MDPI and ACS Style

Lambertini, A.; Menghini, M.; Cimini, J.; Odetti, A.; Bruzzone, G.; Bibuli, M.; Mandanici, E.; Vittuari, L.; Castaldi, P.; Caccia, M.; De Marchi, L. Underwater Drone Architecture for Marine Digital Twin: Lessons Learned from SUSHI DROP Project. Sensors 2022, 22, 744. https://doi.org/10.3390/s22030744

AMA Style

Lambertini A, Menghini M, Cimini J, Odetti A, Bruzzone G, Bibuli M, Mandanici E, Vittuari L, Castaldi P, Caccia M, De Marchi L. Underwater Drone Architecture for Marine Digital Twin: Lessons Learned from SUSHI DROP Project. Sensors. 2022; 22(3):744. https://doi.org/10.3390/s22030744

Chicago/Turabian Style

Lambertini, Alessandro, Massimiliano Menghini, Jacopo Cimini, Angelo Odetti, Gabriele Bruzzone, Marco Bibuli, Emanuele Mandanici, Luca Vittuari, Paolo Castaldi, Massimo Caccia, and Luca De Marchi. 2022. "Underwater Drone Architecture for Marine Digital Twin: Lessons Learned from SUSHI DROP Project" Sensors 22, no. 3: 744. https://doi.org/10.3390/s22030744

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