ENDURUNS: An Integrated and Flexible Approach for Seabed Survey Through Autonomous Mobile Vehicles

The oceans cover more than two-thirds of the planet, representing the vastest part of natural resources. Nevertheless, only a fraction of the ocean depths has been explored. Within this context, this article presents the H2020 ENDURUNS project that describes a novel scientific and technological appr...

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Veröffentlicht in:Journal of marine science and engineering Jg. 8; H. 9; S. 633
Hauptverfasser: Marini, Simone, Gjeci, Nikolla, Govindaraj, Shashank, But, Alexandru, Sportich, Benjamin, Ottaviani, Ennio, Márquez, Fausto Pedro García, Bernalte Sanchez, Pedro Jose, Pedersen, Jonas, Clausen, Casper Vetke, Madricardo, Fantina, Foglini, Fedeirca, Bonofiglio, Federico, Barbieri, Laura, Antonini, Massimiliano, Montenegro Camacho, Yeidy Sorani, Weiss, Peter, Nowak, Kathrin, Peer, Makthoum, Gobert, Thibaud, Turetta, Alessio, Chatzidouros, Elias, Lee, Dongik, Zarras, Dimitris, Steriotis, Theodore, Charalambopoulou, Georgia, Yamas, Thanos, Papaelias, Mayorkinos
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.09.2020
Schlagworte:
Algorithms
autonomous ocean monitoring
Autonomous underwater vehicles
Autonomy
Batteries
Central processing units
Coastal zone
Communication
Compression
CPUs
Data acquisition
Data analysis
Data compression
Fuel cells
Gliders
habitat mapping
Hybrid vehicles
Hydrocarbons
Hydrogen fuels
Infrastructure
Lithium-ion batteries
Natural resources
Observatories
Ocean floor
Oceans
Photovoltaics
Polls & surveys
Rechargeable batteries
Remotely piloted vehicles
Satellite communication
Satellite communications
seabed survey
Surface vehicles
Surveying
Thrusters
Underwater vehicles
unmanned surface vehicles
Unmanned vehicles
Vehicles
United Kingdom
ISSN:2077-1312, 2077-1312
Online-Zugang:Volltext
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Abstract The oceans cover more than two-thirds of the planet, representing the vastest part of natural resources. Nevertheless, only a fraction of the ocean depths has been explored. Within this context, this article presents the H2020 ENDURUNS project that describes a novel scientific and technological approach for prolonged underwater autonomous operations of seabed survey activities, either in the deep ocean or in coastal areas. The proposed approach combines a hybrid Autonomous Underwater Vehicle capable of moving using either thrusters or as a sea glider, combined with an Unmanned Surface Vehicle equipped with satellite communication facilities for interaction with a land station. Both vehicles are equipped with energy packs that combine hydrogen fuel cells and Li-ion batteries to provide extended duration of the survey operations. The Unmanned Surface Vehicle employs photovoltaic panels to increase the autonomy of the vehicle. Since these missions generate a large amount of data, both vehicles are equipped with onboard Central Processing units capable of executing data analysis and compression algorithms for the semantic classification and transmission of the acquired data.
AbstractList The oceans cover more than two-thirds of the planet, representing the vastest part of natural resources. Nevertheless, only a fraction of the ocean depths has been explored. Within this context, this article presents the H2020 ENDURUNS project that describes a novel scientific and technological approach for prolonged underwater autonomous operations of seabed survey activities, either in the deep ocean or in coastal areas. The proposed approach combines a hybrid Autonomous Underwater Vehicle capable of moving using either thrusters or as a sea glider, combined with an Unmanned Surface Vehicle equipped with satellite communication facilities for interaction with a land station. Both vehicles are equipped with energy packs that combine hydrogen fuel cells and Li-ion batteries to provide extended duration of the survey operations. The Unmanned Surface Vehicle employs photovoltaic panels to increase the autonomy of the vehicle. Since these missions generate a large amount of data, both vehicles are equipped with onboard Central Processing units capable of executing data analysis and compression algorithms for the semantic classification and transmission of the acquired data.
The oceans cover more than two-thirds of the planet, representing the vastest part of natural resources. Nevertheless, only a fraction of the ocean depths has been explored. Within this context, this article presents the H2020 ENDURUNS project that describes a novel scientific and technological approach for prolonged underwater autonomous operations of seabed survey activities, either in the deep ocean or in coastal areas. The proposed approach combines a hybrid Autonomous Underwater Vehicle capable of moving using either thrusters or as a sea glider, combined with an Unmanned Surface Vehicle equipped with satellite communication facilities for interaction with a land station. Both vehicles are equipped with energy packs that combine hydrogen fuel cells and Li-ion batteries to provide extended duration of the survey operations. The Unmanned Surface Vehicle employs photovoltaic panels to increase the autonomy of the vehicle. Since these missions generate a large amount of data, both vehicles are equipped with onboard Central Processing units capable of executing data analysis and compression algorithms for the semantic classification and transmission of the acquired data. Keywords: autonomous underwater vehicles; unmanned surface vehicles; seabed survey; habitat mapping; autonomous ocean monitoring
Audience Academic
Author Barbieri, Laura
Charalambopoulou, Georgia
Pedersen, Jonas
Gobert, Thibaud
Ottaviani, Ennio
Antonini, Massimiliano
Peer, Makthoum
Montenegro Camacho, Yeidy Sorani
Foglini, Fedeirca
Lee, Dongik
Marini, Simone
Steriotis, Theodore
Yamas, Thanos
Gjeci, Nikolla
Clausen, Casper Vetke
Weiss, Peter
Nowak, Kathrin
Madricardo, Fantina
Bernalte Sanchez, Pedro Jose
Turetta, Alessio
Chatzidouros, Elias
Bonofiglio, Federico
Govindaraj, Shashank
Zarras, Dimitris
Sportich, Benjamin
But, Alexandru
Márquez, Fausto Pedro García
Papaelias, Mayorkinos
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Snippet The oceans cover more than two-thirds of the planet, representing the vastest part of natural resources. Nevertheless, only a fraction of the ocean depths has...
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SubjectTerms Algorithms
autonomous ocean monitoring
Autonomous underwater vehicles
Autonomy
Batteries
Central processing units
Coastal zone
Communication
Compression
CPUs
Data acquisition
Data analysis
Data compression
Fuel cells
Gliders
habitat mapping
Hybrid vehicles
Hydrocarbons
Hydrogen fuels
Infrastructure
Lithium-ion batteries
Natural resources
Observatories
Ocean floor
Oceans
Photovoltaics
Polls & surveys
Rechargeable batteries
Remotely piloted vehicles
Satellite communication
Satellite communications
seabed survey
Surface vehicles
Surveying
Thrusters
Underwater vehicles
unmanned surface vehicles
Unmanned vehicles
Vehicles
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Title ENDURUNS: An Integrated and Flexible Approach for Seabed Survey Through Autonomous Mobile Vehicles
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