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The UspIC: Performing Scan Matching Localization Using an Imaging Sonar
This paper presents a novel approach to localize an underwater mobile robot based on scan matching using a Mechanically Scanned Imaging Sonar (MSIS). When used to perform scan matching, this sensor presents some problems such as significant uncertainty in the measurements or large scan times, which...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436004/ https://www.ncbi.nlm.nih.gov/pubmed/22969375 http://dx.doi.org/10.3390/s120607855 |
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author | Burguera, Antoni Gonzàlez, Yolanda Oliver, Gabriel |
author_facet | Burguera, Antoni Gonzàlez, Yolanda Oliver, Gabriel |
author_sort | Burguera, Antoni |
collection | PubMed |
description | This paper presents a novel approach to localize an underwater mobile robot based on scan matching using a Mechanically Scanned Imaging Sonar (MSIS). When used to perform scan matching, this sensor presents some problems such as significant uncertainty in the measurements or large scan times, which lead to a motion induced distortion. This paper presents the uspIC, which deals with these problems by adopting a probabilistic scan matching strategy and by defining a method to strongly alleviate the motion induced distortion. Experimental results evaluating our approach and comparing it to previously existing methods are provided. |
format | Online Article Text |
id | pubmed-3436004 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-34360042012-09-11 The UspIC: Performing Scan Matching Localization Using an Imaging Sonar Burguera, Antoni Gonzàlez, Yolanda Oliver, Gabriel Sensors (Basel) Article This paper presents a novel approach to localize an underwater mobile robot based on scan matching using a Mechanically Scanned Imaging Sonar (MSIS). When used to perform scan matching, this sensor presents some problems such as significant uncertainty in the measurements or large scan times, which lead to a motion induced distortion. This paper presents the uspIC, which deals with these problems by adopting a probabilistic scan matching strategy and by defining a method to strongly alleviate the motion induced distortion. Experimental results evaluating our approach and comparing it to previously existing methods are provided. Molecular Diversity Preservation International (MDPI) 2012-06-08 /pmc/articles/PMC3436004/ /pubmed/22969375 http://dx.doi.org/10.3390/s120607855 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Burguera, Antoni Gonzàlez, Yolanda Oliver, Gabriel The UspIC: Performing Scan Matching Localization Using an Imaging Sonar |
title | The UspIC: Performing Scan Matching Localization Using an Imaging Sonar |
title_full | The UspIC: Performing Scan Matching Localization Using an Imaging Sonar |
title_fullStr | The UspIC: Performing Scan Matching Localization Using an Imaging Sonar |
title_full_unstemmed | The UspIC: Performing Scan Matching Localization Using an Imaging Sonar |
title_short | The UspIC: Performing Scan Matching Localization Using an Imaging Sonar |
title_sort | uspic: performing scan matching localization using an imaging sonar |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436004/ https://www.ncbi.nlm.nih.gov/pubmed/22969375 http://dx.doi.org/10.3390/s120607855 |
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