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High-resolution visual seafloor mapping and classification using long range capable AUV for ship-free benthic surveys

High-resolution visual seafloor mapping and classification using long range capable AUV for ship-free benthic surveys
High-resolution visual seafloor mapping and classification using long range capable AUV for ship-free benthic surveys
BioCam is a 4000m depth rated high-resolution mapping instrument that uses lasers, strobes and cameras to generate multi-hectare 3D reconstructions of the seafloor at sub-centimetre resolution. These can be used to analyse seafloor ecology as well as the fine-scale features of seafloor terrains. BioCam was first deployed with the autonomous underwater vehicle (AUV) Autosub Long Range (ALR), also known as “Boaty McBoatface”, in July 2022 using the research vessel RRS Discovery. During several dives a total of 80ha of seafloor in the Greater Haig Fras and the South West Deeps (East) Marine Conservation Zones (MCZ) were visually mapped from altitudes between 4 and 5.5 m and sub-centimetre resolution bathymetry maps were generated. During the cruise, the AUV and BioCam were left onsite while the ship travelled to a new location, and both systems were controlled via satellite communication to upload new missions and confirm data quality, demonstrating the over-the-horizon operation capability needed to enable future ship-free deployments.
3D seafloor mapping, AUV, image classification, over-the-horizon operation
IEEE
Bodenmann, Adrian
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Cappelletto, Jose De La Cruz
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Massot Campos, Miguel
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Newborough, Darryl
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Chaney, Ed
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Marlow, Rachel
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Templeton, Robert
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Phillips, Alexander
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Bett, Brian
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Wardell, Catherine
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Thornton, Blair
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Bodenmann, Adrian
070a668f-cc2f-402a-844e-cdf207b24f50
Cappelletto, Jose De La Cruz
a6620d58-0abe-4f9d-9fd9-9ac474de9230
Massot Campos, Miguel
a55d7b32-c097-4adf-9483-16bbf07f9120
Newborough, Darryl
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Chaney, Ed
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Marlow, Rachel
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Templeton, Robert
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Phillips, Alexander
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Bett, Brian
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Wardell, Catherine
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Thornton, Blair
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Bodenmann, Adrian, Cappelletto, Jose De La Cruz, Massot Campos, Miguel, Newborough, Darryl, Chaney, Ed, Marlow, Rachel, Templeton, Robert, Phillips, Alexander, Bett, Brian, Wardell, Catherine and Thornton, Blair (2023) High-resolution visual seafloor mapping and classification using long range capable AUV for ship-free benthic surveys. In 2023 IEEE International Symposium on Underwater Technology, UT 2023. IEEE. 6 pp . (doi:10.1109/UT49729.2023.10103421).

Record type: Conference or Workshop Item (Paper)

Abstract

BioCam is a 4000m depth rated high-resolution mapping instrument that uses lasers, strobes and cameras to generate multi-hectare 3D reconstructions of the seafloor at sub-centimetre resolution. These can be used to analyse seafloor ecology as well as the fine-scale features of seafloor terrains. BioCam was first deployed with the autonomous underwater vehicle (AUV) Autosub Long Range (ALR), also known as “Boaty McBoatface”, in July 2022 using the research vessel RRS Discovery. During several dives a total of 80ha of seafloor in the Greater Haig Fras and the South West Deeps (East) Marine Conservation Zones (MCZ) were visually mapped from altitudes between 4 and 5.5 m and sub-centimetre resolution bathymetry maps were generated. During the cruise, the AUV and BioCam were left onsite while the ship travelled to a new location, and both systems were controlled via satellite communication to upload new missions and confirm data quality, demonstrating the over-the-horizon operation capability needed to enable future ship-free deployments.

Text
Bodenmann - High-resolution visual seafloor mapping for ship-free benthic surveys - Accepted Manuscript
Restricted to Repository staff only until 24 April 2025.
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More information

Accepted/In Press date: 23 December 2022
Published date: 24 April 2023
Additional Information: Funding Information: This research is funded by the UK Natural Environment Research Council’s Oceanids program, grant NE/P020887/1.
Venue - Dates: IEEE International Symposium on Underwater Technology 2023, ISS Confernce Hall 'Haricot' , Tokyo, Japan, 2023-03-06 - 2023-03-09
Keywords: 3D seafloor mapping, AUV, image classification, over-the-horizon operation

Identifiers

Local EPrints ID: 475251
URI: http://eprints.soton.ac.uk/id/eprint/475251
PURE UUID: fee293cb-90c7-4b8f-b3ea-06b84bfb4c58
ORCID for Adrian Bodenmann: ORCID iD orcid.org/0000-0002-3195-0602
ORCID for Miguel Massot Campos: ORCID iD orcid.org/0000-0002-1202-0362
ORCID for Alexander Phillips: ORCID iD orcid.org/0000-0003-3234-8506

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Date deposited: 14 Mar 2023 17:49
Last modified: 17 Mar 2024 03:54

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Contributors

Author: Jose De La Cruz Cappelletto
Author: Darryl Newborough
Author: Ed Chaney
Author: Rachel Marlow
Author: Robert Templeton
Author: Alexander Phillips ORCID iD
Author: Brian Bett
Author: Catherine Wardell
Author: Blair Thornton

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