A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring
Special issue 2019 Selected Papers from the IMEKO TC-19 International Workshop on Metrology for the Sea.-- 17 pages, 9 figures, 2 tables, supplementary material http://www.mdpi.com/1424-8220/20/6/1614/s1 This paper presents the technological developments and the policy contexts for the project “Auto...
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Multidisciplinary Digital Publishing Institute
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Online Access: | http://hdl.handle.net/10261/205641 https://doi.org/10.3390/s20061614 https://doi.org/10.13039/501100000780 https://doi.org/10.13039/501100011033 |
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ftcsic:oai:digital.csic.es:10261/205641 2024-02-11T10:05:40+01:00 A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring Aguzzi, Jacopo Albiez, Jan Flögel, Sascha Godø, Olav Rune Grimsbø, Endre Marini, Simone Pfannkuche, Olaf Rodriguez, Erik Thomsen, Laurenz Torkelsen, Terje Valencia, Javier López-Vázquez, Vanesa Wehde, Henning Zhang, Guosong European Commission Agencia Estatal de Investigación (España) 2020-03 http://hdl.handle.net/10261/205641 https://doi.org/10.3390/s20061614 https://doi.org/10.13039/501100000780 https://doi.org/10.13039/501100011033 unknown Multidisciplinary Digital Publishing Institute #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/728053 https://doi.org/10.3390/s20061614 doi:10.3390/s20061614 issn: 1424-8220 e-issn: 1424-8220 Sensors 20(6): 1614 (2020) CEX2019-000928-S http://hdl.handle.net/10261/205641 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100011033 32183233 open Benthic and pelagic monitoring Image processing Acoustics Crawlers Docking station Cabled observatories Fuel cells Ecosystem component classification artículo http://purl.org/coar/resource_type/c_6501 2020 ftcsic https://doi.org/10.3390/s2006161410.13039/50110000078010.13039/501100011033 2024-01-16T10:50:59Z Special issue 2019 Selected Papers from the IMEKO TC-19 International Workshop on Metrology for the Sea.-- 17 pages, 9 figures, 2 tables, supplementary material http://www.mdpi.com/1424-8220/20/6/1614/s1 This paper presents the technological developments and the policy contexts for the project “Autonomous Robotic Sea-Floor Infrastructure for Bentho-Pelagic Monitoring” (ARIM). The development is based on the national experience with robotic component technologies that are combined and merged into a new product for autonomous and integrated ecological deep-sea monitoring. Traditional monitoring is often vessel-based and thus resource demanding. It is economically unviable to fulfill the current policy for ecosystem monitoring with traditional approaches. Thus, this project developed platforms for bentho-pelagic monitoring using an arrangement of crawler and stationary platforms at the Lofoten-Vesterålen (LoVe) observatory network (Norway). Visual and acoustic imaging along with standard oceanographic sensors have been combined to support advanced and continuous spatial-temporal monitoring near cold water coral mounds. Just as important is the automatic processing techniques under development that have been implemented to allow species (or categories of species) quantification (i.e., tracking and classification). At the same time, real-time outboard processed three-dimensional (3D) laser scanning has been implemented to increase mission autonomy capability, delivering quantifiable information on habitat features (i.e., for seascape approaches). The first version of platform autonomy has already been tested under controlled conditions with a tethered crawler exploring the vicinity of a cabled stationary instrumented garage. Our vision is that elimination of the tether in combination with inductive battery recharge trough fuel cell technology will facilitate self-sustained long-term autonomous operations over large areas, serving not only the needs of science, but also sub-sea industries like subsea oil and gas, ... Article in Journal/Newspaper Lofoten Vesterålen Digital.CSIC (Spanish National Research Council) Lofoten Norway Vesterålen ENVELOPE(14.939,14.939,68.754,68.754) Sensors 20 6 1614 |
institution |
Open Polar |
collection |
Digital.CSIC (Spanish National Research Council) |
op_collection_id |
ftcsic |
language |
unknown |
topic |
Benthic and pelagic monitoring Image processing Acoustics Crawlers Docking station Cabled observatories Fuel cells Ecosystem component classification |
spellingShingle |
Benthic and pelagic monitoring Image processing Acoustics Crawlers Docking station Cabled observatories Fuel cells Ecosystem component classification Aguzzi, Jacopo Albiez, Jan Flögel, Sascha Godø, Olav Rune Grimsbø, Endre Marini, Simone Pfannkuche, Olaf Rodriguez, Erik Thomsen, Laurenz Torkelsen, Terje Valencia, Javier López-Vázquez, Vanesa Wehde, Henning Zhang, Guosong A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring |
topic_facet |
Benthic and pelagic monitoring Image processing Acoustics Crawlers Docking station Cabled observatories Fuel cells Ecosystem component classification |
description |
Special issue 2019 Selected Papers from the IMEKO TC-19 International Workshop on Metrology for the Sea.-- 17 pages, 9 figures, 2 tables, supplementary material http://www.mdpi.com/1424-8220/20/6/1614/s1 This paper presents the technological developments and the policy contexts for the project “Autonomous Robotic Sea-Floor Infrastructure for Bentho-Pelagic Monitoring” (ARIM). The development is based on the national experience with robotic component technologies that are combined and merged into a new product for autonomous and integrated ecological deep-sea monitoring. Traditional monitoring is often vessel-based and thus resource demanding. It is economically unviable to fulfill the current policy for ecosystem monitoring with traditional approaches. Thus, this project developed platforms for bentho-pelagic monitoring using an arrangement of crawler and stationary platforms at the Lofoten-Vesterålen (LoVe) observatory network (Norway). Visual and acoustic imaging along with standard oceanographic sensors have been combined to support advanced and continuous spatial-temporal monitoring near cold water coral mounds. Just as important is the automatic processing techniques under development that have been implemented to allow species (or categories of species) quantification (i.e., tracking and classification). At the same time, real-time outboard processed three-dimensional (3D) laser scanning has been implemented to increase mission autonomy capability, delivering quantifiable information on habitat features (i.e., for seascape approaches). The first version of platform autonomy has already been tested under controlled conditions with a tethered crawler exploring the vicinity of a cabled stationary instrumented garage. Our vision is that elimination of the tether in combination with inductive battery recharge trough fuel cell technology will facilitate self-sustained long-term autonomous operations over large areas, serving not only the needs of science, but also sub-sea industries like subsea oil and gas, ... |
author2 |
European Commission Agencia Estatal de Investigación (España) |
format |
Article in Journal/Newspaper |
author |
Aguzzi, Jacopo Albiez, Jan Flögel, Sascha Godø, Olav Rune Grimsbø, Endre Marini, Simone Pfannkuche, Olaf Rodriguez, Erik Thomsen, Laurenz Torkelsen, Terje Valencia, Javier López-Vázquez, Vanesa Wehde, Henning Zhang, Guosong |
author_facet |
Aguzzi, Jacopo Albiez, Jan Flögel, Sascha Godø, Olav Rune Grimsbø, Endre Marini, Simone Pfannkuche, Olaf Rodriguez, Erik Thomsen, Laurenz Torkelsen, Terje Valencia, Javier López-Vázquez, Vanesa Wehde, Henning Zhang, Guosong |
author_sort |
Aguzzi, Jacopo |
title |
A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring |
title_short |
A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring |
title_full |
A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring |
title_fullStr |
A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring |
title_full_unstemmed |
A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring |
title_sort |
flexible autonomous robotic observatory infrastructure for bentho-pelagic monitoring |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
http://hdl.handle.net/10261/205641 https://doi.org/10.3390/s20061614 https://doi.org/10.13039/501100000780 https://doi.org/10.13039/501100011033 |
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ENVELOPE(14.939,14.939,68.754,68.754) |
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Lofoten Norway Vesterålen |
geographic_facet |
Lofoten Norway Vesterålen |
genre |
Lofoten Vesterålen |
genre_facet |
Lofoten Vesterålen |
op_relation |
#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/728053 https://doi.org/10.3390/s20061614 doi:10.3390/s20061614 issn: 1424-8220 e-issn: 1424-8220 Sensors 20(6): 1614 (2020) CEX2019-000928-S http://hdl.handle.net/10261/205641 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100011033 32183233 |
op_rights |
open |
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https://doi.org/10.3390/s2006161410.13039/50110000078010.13039/501100011033 |
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Sensors |
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20 |
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6 |
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1614 |
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