TY - JOUR
T1 - Enduruns
T2 - An integrated and flexible approach for seabed survey through autonomous mobile vehicles
AU - Marini, Simone
AU - Gjeci, Nikolla
AU - Govindaraj, Shashank
AU - But, Alexandru
AU - Sportich, Benjamin
AU - Ottaviani, Ennio
AU - Márquez, Fausto Pedro García
AU - Sanchez, Pedro Jose Bernalte
AU - Pedersen, Jonas
AU - Clausen, Casper Vetke
AU - Madricardo, Fantina
AU - Foglini, Fedeirca
AU - Bonofiglio, Federico
AU - Barbieri, Laura
AU - Antonini, Massimiliano
AU - Camacho, Yeidy Sorani Montenegro
AU - Weiss, Peter
AU - Nowak, Kathrin
AU - Peer, Makthoum
AU - Gobert, Thibaud
AU - Turetta, Alessio
AU - Chatzidouros, Elias
AU - Lee, Dongik
AU - Zarras, Dimitris
AU - Steriotis, Theodore
AU - Charalambopoulou, Georgia
AU - Yamas, Thanos
AU - Papaelias, Mayorkinos
N1 - Publisher Copyright:
© 2020 by the authors.
PY - 2020/9
Y1 - 2020/9
N2 - 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.
AB - 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.
KW - Autonomous ocean monitoring
KW - Autonomous underwater vehicles
KW - Habitat mapping
KW - Seabed survey
KW - Unmanned surface vehicles
UR - http://www.scopus.com/inward/record.url?scp=85090399049&partnerID=8YFLogxK
U2 - 10.3390/JMSE8090633
DO - 10.3390/JMSE8090633
M3 - Article
AN - SCOPUS:85090399049
SN - 2077-1312
VL - 8
JO - Journal of Marine Science and Engineering
JF - Journal of Marine Science and Engineering
IS - 9
M1 - 633
ER -
