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

Clicks: 311
ID: 114380
2020
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #33 of 115 articles by views in journal of marine science and engineering

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
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.
Reference Key
marini2020journalenduruns: Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Simone Marini;Nikolla Gjeci;Shashank Govindaraj;Alexandru But;Benjamin Sportich;Ennio Ottaviani;Fausto Pedro García Márquez;Pedro Jose Bernalte Sanchez;Jonas Pedersen;Casper Vetke Clausen;Fantina Madricardo;Fedeirca Foglini;Federico Bonofiglio;Laura Barbieri;Massimiliano Antonini;Yeidy Sorani Montenegro Camacho;Peter Weiss;Kathrin Nowak;Makthoum Peer;Thibaud Gobert;Alessio Turetta;Elias Chatzidouros;Dongik Lee;Dimitris Zarras;Theodore Steriotis;Georgia Charalambopoulou;Thanos Yamas;Mayorkinos Papaelias;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;
Journal journal of marine science and engineering
Year 2020
DOI
10.3390/jmse8090633
URL
https://doi.org/10.3390/jmse8090633
Keywords
autonomous underwater vehicles habitat mapping unmanned surface vehicles seabed survey autonomous ocean monitoring

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.