Acoustic-Based Techniques for Autonomous Underwater Vehicle Localization
This paper presents two acoustic-based techniques to solve the localization problem for an autonomous underwater vehicle (AUV). After a brief description of the Bayesian filtering framework, the paper analyses two of the most common underwater scenarios. Each scenario corresponds to one of the two l...
Gespeichert in:
Veröffentlicht in: | Proceedings of the Institution of Mechanical Engineers. Part M, Journal of engineering for the maritime environment Journal of engineering for the maritime environment, 2010-11, Vol.224 (4), p.293-307 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 307 |
---|---|
container_issue | 4 |
container_start_page | 293 |
container_title | Proceedings of the Institution of Mechanical Engineers. Part M, Journal of engineering for the maritime environment |
container_volume | 224 |
creator | Petillot, Y Maurelli, F Valeyrie, N Mallios, A Ridao, P Aulinas, J Salvi, J |
description | This paper presents two acoustic-based techniques to solve the localization problem for an autonomous underwater vehicle (AUV). After a brief description of the Bayesian filtering framework, the paper analyses two of the most common underwater scenarios. Each scenario corresponds to one of the two localization techniques. The scenarios are as follows: map-based localization, when the environment is sufficiently distinctive; transponder-based localization for navigation in large and not distinctive environments. An environment is said to be distinctive when there are possible reference points. For example, a completely flat featureless sea floor is not considered as distinctive. The proposed techniques were validated in simulation. The map-based localization technique was also validated in trials with the autonomous underwater vehicles Ictineu and Nessie IV. The trials with Ictineu took place in an abandoned marina with Ictineu travelling along a trajectory that was more than 600 m long. The trials with Nessie IV took place in a rectangular pool and during an AUV competition. |
doi_str_mv | 10.1243/14750902JEME197 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_863458707</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1243_14750902JEME197</sage_id><sourcerecordid>1885384652</sourcerecordid><originalsourceid>FETCH-LOGICAL-c333t-2f5d39e13be5b8d72591f03e6a3a802721c6a10bf797075890f18bb1af8e1c6e3</originalsourceid><addsrcrecordid>eNp1kDFPwzAUhC0EEqUws0awEupnx7EzlqpQUBFLyxo5zjNN1cbFTlTBrydRGRBSpzfcd3dPR8g10HtgCR9BIgXNKHuZvk4hkydkwGgCMacqOSWDXo17-ZxchLCmFBSVMCCzsXFtaCoTP-iAZbRAs6qrzxZDZJ2Pxm3jarftkGhZl-j3ukEfveOqMhuM5s7oTfWtm8rVl-TM6k3Aq987JMvH6WIyi-dvT8-T8Tw2nPMmZlaUPEPgBYpClZKJDCzlmGquFWWSgUk10MLKTFIpVEYtqKIAbRV2EvIhuTnk7rzr32zytWt93VXmKuWJUJ2tg26PQaCU4CpJBeuo0YEy3oXg0eY7X221_8qB5v2m-b9NO8fdwRH0B_7JPIL_AJASdWM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1885384652</pqid></control><display><type>article</type><title>Acoustic-Based Techniques for Autonomous Underwater Vehicle Localization</title><source>SAGE Complete A-Z List</source><creator>Petillot, Y ; Maurelli, F ; Valeyrie, N ; Mallios, A ; Ridao, P ; Aulinas, J ; Salvi, J</creator><creatorcontrib>Petillot, Y ; Maurelli, F ; Valeyrie, N ; Mallios, A ; Ridao, P ; Aulinas, J ; Salvi, J</creatorcontrib><description>This paper presents two acoustic-based techniques to solve the localization problem for an autonomous underwater vehicle (AUV). After a brief description of the Bayesian filtering framework, the paper analyses two of the most common underwater scenarios. Each scenario corresponds to one of the two localization techniques. The scenarios are as follows: map-based localization, when the environment is sufficiently distinctive; transponder-based localization for navigation in large and not distinctive environments. An environment is said to be distinctive when there are possible reference points. For example, a completely flat featureless sea floor is not considered as distinctive. The proposed techniques were validated in simulation. The map-based localization technique was also validated in trials with the autonomous underwater vehicles Ictineu and Nessie IV. The trials with Ictineu took place in an abandoned marina with Ictineu travelling along a trajectory that was more than 600 m long. The trials with Nessie IV took place in a rectangular pool and during an AUV competition.</description><identifier>ISSN: 1475-0902</identifier><identifier>EISSN: 2041-3084</identifier><identifier>DOI: 10.1243/14750902JEME197</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Acoustics ; Autonomous underwater vehicles ; Bayesian analysis ; Bayesian theory ; Flow velocity ; Localization ; Naval engineering ; Navigation systems ; Ocean floor ; Oceanography ; Underwater exploration ; Underwater vehicles</subject><ispartof>Proceedings of the Institution of Mechanical Engineers. Part M, Journal of engineering for the maritime environment, 2010-11, Vol.224 (4), p.293-307</ispartof><rights>2010 Institution of Mechanical Engineers</rights><rights>Copyright Professional Engineering Publishing Ltd Nov 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c333t-2f5d39e13be5b8d72591f03e6a3a802721c6a10bf797075890f18bb1af8e1c6e3</citedby><cites>FETCH-LOGICAL-c333t-2f5d39e13be5b8d72591f03e6a3a802721c6a10bf797075890f18bb1af8e1c6e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1243/14750902JEME197$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1243/14750902JEME197$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,778,782,21806,27911,27912,43608,43609</link.rule.ids></links><search><creatorcontrib>Petillot, Y</creatorcontrib><creatorcontrib>Maurelli, F</creatorcontrib><creatorcontrib>Valeyrie, N</creatorcontrib><creatorcontrib>Mallios, A</creatorcontrib><creatorcontrib>Ridao, P</creatorcontrib><creatorcontrib>Aulinas, J</creatorcontrib><creatorcontrib>Salvi, J</creatorcontrib><title>Acoustic-Based Techniques for Autonomous Underwater Vehicle Localization</title><title>Proceedings of the Institution of Mechanical Engineers. Part M, Journal of engineering for the maritime environment</title><description>This paper presents two acoustic-based techniques to solve the localization problem for an autonomous underwater vehicle (AUV). After a brief description of the Bayesian filtering framework, the paper analyses two of the most common underwater scenarios. Each scenario corresponds to one of the two localization techniques. The scenarios are as follows: map-based localization, when the environment is sufficiently distinctive; transponder-based localization for navigation in large and not distinctive environments. An environment is said to be distinctive when there are possible reference points. For example, a completely flat featureless sea floor is not considered as distinctive. The proposed techniques were validated in simulation. The map-based localization technique was also validated in trials with the autonomous underwater vehicles Ictineu and Nessie IV. The trials with Ictineu took place in an abandoned marina with Ictineu travelling along a trajectory that was more than 600 m long. The trials with Nessie IV took place in a rectangular pool and during an AUV competition.</description><subject>Acoustics</subject><subject>Autonomous underwater vehicles</subject><subject>Bayesian analysis</subject><subject>Bayesian theory</subject><subject>Flow velocity</subject><subject>Localization</subject><subject>Naval engineering</subject><subject>Navigation systems</subject><subject>Ocean floor</subject><subject>Oceanography</subject><subject>Underwater exploration</subject><subject>Underwater vehicles</subject><issn>1475-0902</issn><issn>2041-3084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kDFPwzAUhC0EEqUws0awEupnx7EzlqpQUBFLyxo5zjNN1cbFTlTBrydRGRBSpzfcd3dPR8g10HtgCR9BIgXNKHuZvk4hkydkwGgCMacqOSWDXo17-ZxchLCmFBSVMCCzsXFtaCoTP-iAZbRAs6qrzxZDZJ2Pxm3jarftkGhZl-j3ukEfveOqMhuM5s7oTfWtm8rVl-TM6k3Aq987JMvH6WIyi-dvT8-T8Tw2nPMmZlaUPEPgBYpClZKJDCzlmGquFWWSgUk10MLKTFIpVEYtqKIAbRV2EvIhuTnk7rzr32zytWt93VXmKuWJUJ2tg26PQaCU4CpJBeuo0YEy3oXg0eY7X221_8qB5v2m-b9NO8fdwRH0B_7JPIL_AJASdWM</recordid><startdate>20101101</startdate><enddate>20101101</enddate><creator>Petillot, Y</creator><creator>Maurelli, F</creator><creator>Valeyrie, N</creator><creator>Mallios, A</creator><creator>Ridao, P</creator><creator>Aulinas, J</creator><creator>Salvi, J</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TB</scope><scope>7TN</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20101101</creationdate><title>Acoustic-Based Techniques for Autonomous Underwater Vehicle Localization</title><author>Petillot, Y ; Maurelli, F ; Valeyrie, N ; Mallios, A ; Ridao, P ; Aulinas, J ; Salvi, J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-2f5d39e13be5b8d72591f03e6a3a802721c6a10bf797075890f18bb1af8e1c6e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Acoustics</topic><topic>Autonomous underwater vehicles</topic><topic>Bayesian analysis</topic><topic>Bayesian theory</topic><topic>Flow velocity</topic><topic>Localization</topic><topic>Naval engineering</topic><topic>Navigation systems</topic><topic>Ocean floor</topic><topic>Oceanography</topic><topic>Underwater exploration</topic><topic>Underwater vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Petillot, Y</creatorcontrib><creatorcontrib>Maurelli, F</creatorcontrib><creatorcontrib>Valeyrie, N</creatorcontrib><creatorcontrib>Mallios, A</creatorcontrib><creatorcontrib>Ridao, P</creatorcontrib><creatorcontrib>Aulinas, J</creatorcontrib><creatorcontrib>Salvi, J</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database (ProQuest)</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Proceedings of the Institution of Mechanical Engineers. Part M, Journal of engineering for the maritime environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Petillot, Y</au><au>Maurelli, F</au><au>Valeyrie, N</au><au>Mallios, A</au><au>Ridao, P</au><au>Aulinas, J</au><au>Salvi, J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Acoustic-Based Techniques for Autonomous Underwater Vehicle Localization</atitle><jtitle>Proceedings of the Institution of Mechanical Engineers. Part M, Journal of engineering for the maritime environment</jtitle><date>2010-11-01</date><risdate>2010</risdate><volume>224</volume><issue>4</issue><spage>293</spage><epage>307</epage><pages>293-307</pages><issn>1475-0902</issn><eissn>2041-3084</eissn><abstract>This paper presents two acoustic-based techniques to solve the localization problem for an autonomous underwater vehicle (AUV). After a brief description of the Bayesian filtering framework, the paper analyses two of the most common underwater scenarios. Each scenario corresponds to one of the two localization techniques. The scenarios are as follows: map-based localization, when the environment is sufficiently distinctive; transponder-based localization for navigation in large and not distinctive environments. An environment is said to be distinctive when there are possible reference points. For example, a completely flat featureless sea floor is not considered as distinctive. The proposed techniques were validated in simulation. The map-based localization technique was also validated in trials with the autonomous underwater vehicles Ictineu and Nessie IV. The trials with Ictineu took place in an abandoned marina with Ictineu travelling along a trajectory that was more than 600 m long. The trials with Nessie IV took place in a rectangular pool and during an AUV competition.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1243/14750902JEME197</doi><tpages>15</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1475-0902 |
ispartof | Proceedings of the Institution of Mechanical Engineers. Part M, Journal of engineering for the maritime environment, 2010-11, Vol.224 (4), p.293-307 |
issn | 1475-0902 2041-3084 |
language | eng |
recordid | cdi_proquest_journals_863458707 |
source | SAGE Complete A-Z List |
subjects | Acoustics Autonomous underwater vehicles Bayesian analysis Bayesian theory Flow velocity Localization Naval engineering Navigation systems Ocean floor Oceanography Underwater exploration Underwater vehicles |
title | Acoustic-Based Techniques for Autonomous Underwater Vehicle Localization |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T11%3A17%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Acoustic-Based%20Techniques%20for%20Autonomous%20Underwater%20Vehicle%20Localization&rft.jtitle=Proceedings%20of%20the%20Institution%20of%20Mechanical%20Engineers.%20Part%20M,%20Journal%20of%20engineering%20for%20the%20maritime%20environment&rft.au=Petillot,%20Y&rft.date=2010-11-01&rft.volume=224&rft.issue=4&rft.spage=293&rft.epage=307&rft.pages=293-307&rft.issn=1475-0902&rft.eissn=2041-3084&rft_id=info:doi/10.1243/14750902JEME197&rft_dat=%3Cproquest_cross%3E1885384652%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1885384652&rft_id=info:pmid/&rft_sage_id=10.1243_14750902JEME197&rfr_iscdi=true |