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AUV Navigation Correction Based on Automated Multibeam Tile Matching

Ocean science and hydroacoustic seafloor mapping rely on accurate navigation underwater. By exploiting terrain information provided by a multibeam echosounder system, it is possible to significantly improve map quality. This article presents an algorithm capable of improving map quality and accuracy...

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Detalles Bibliográficos
Autores principales: Mohrmann, Jochen, Greinert, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840710/
https://www.ncbi.nlm.nih.gov/pubmed/35161705
http://dx.doi.org/10.3390/s22030954
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author Mohrmann, Jochen
Greinert, Jens
author_facet Mohrmann, Jochen
Greinert, Jens
author_sort Mohrmann, Jochen
collection PubMed
description Ocean science and hydroacoustic seafloor mapping rely on accurate navigation underwater. By exploiting terrain information provided by a multibeam echosounder system, it is possible to significantly improve map quality. This article presents an algorithm capable of improving map quality and accuracy by aligning consecutive pings to tiles that are matched pairwise. A globally consistent solution is calculated from these matches. The proposed method has the potential to be used online in addition to other navigation solutions, but is mainly targeted for post processing. The algorithm was tested using different parameter settings on an AUV and a ship-based dataset. The ship-based dataset is publicly available as a benchmark. The original accurate navigation serving as a ground truth, alongside trajectories that include an artificial drift, are available. This allows quantitative comparisons between algorithms and parameter settings.
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spelling pubmed-88407102022-02-13 AUV Navigation Correction Based on Automated Multibeam Tile Matching Mohrmann, Jochen Greinert, Jens Sensors (Basel) Article Ocean science and hydroacoustic seafloor mapping rely on accurate navigation underwater. By exploiting terrain information provided by a multibeam echosounder system, it is possible to significantly improve map quality. This article presents an algorithm capable of improving map quality and accuracy by aligning consecutive pings to tiles that are matched pairwise. A globally consistent solution is calculated from these matches. The proposed method has the potential to be used online in addition to other navigation solutions, but is mainly targeted for post processing. The algorithm was tested using different parameter settings on an AUV and a ship-based dataset. The ship-based dataset is publicly available as a benchmark. The original accurate navigation serving as a ground truth, alongside trajectories that include an artificial drift, are available. This allows quantitative comparisons between algorithms and parameter settings. MDPI 2022-01-26 /pmc/articles/PMC8840710/ /pubmed/35161705 http://dx.doi.org/10.3390/s22030954 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mohrmann, Jochen
Greinert, Jens
AUV Navigation Correction Based on Automated Multibeam Tile Matching
title AUV Navigation Correction Based on Automated Multibeam Tile Matching
title_full AUV Navigation Correction Based on Automated Multibeam Tile Matching
title_fullStr AUV Navigation Correction Based on Automated Multibeam Tile Matching
title_full_unstemmed AUV Navigation Correction Based on Automated Multibeam Tile Matching
title_short AUV Navigation Correction Based on Automated Multibeam Tile Matching
title_sort auv navigation correction based on automated multibeam tile matching
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840710/
https://www.ncbi.nlm.nih.gov/pubmed/35161705
http://dx.doi.org/10.3390/s22030954
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