Underwater Pose SLAM using GMM scan matching for a mechanical profiling sonar
This is an open access article under the terms of theCreative Commons Attribution‐NonCommercial‐NoDerivsLicense
| Authors: | , , , |
|---|---|
| Format: | article |
| Publication Date: | 2024 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/401664 |
| Online Access: | https://hdl.handle.net/2117/401664 https://dx.doi.org/10.1002/rob.22272 |
| Access Level: | Open access |
| Keyword: | Acoustic scan registration Autonomous underwater vehicles Field robotics Gaussian mixtures model Lie theory optimization Pose SLAM Profiling sonars Classificació INSPEC::Optimisation Àrees temàtiques de la UPC::Informàtica::Robòtica |
| id |
ES_6bdabe133e81af81662a9dbbf2b2fa7e |
|---|---|
| oai_identifier_str |
oai:upcommons.upc.edu:2117/401664 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Underwater Pose SLAM using GMM scan matching for a mechanical profiling sonarVial Serrat, PauPalomeras Rovira, NarcísSolà Ortega, Joan|||0000-0002-2933-3381Carreras Pérez, MarcAcoustic scan registrationAutonomous underwater vehiclesField roboticsGaussian mixtures modelLie theoryoptimizationPose SLAMProfiling sonarsClassificació INSPEC::OptimisationÀrees temàtiques de la UPC::Informàtica::RobòticaThis is an open access article under the terms of theCreative Commons Attribution‐NonCommercial‐NoDerivsLicenseThe underwater domain is a challenging environment for robotics because widely used electromagnetic devices must be substituted by acoustic equivalents, much slower and noisier. In this paper a two-dimensional pose simultaneous localization and mapping (SLAM) system for an Autonomous Underwater Vehicle based on inertial sensors and a mechanical profiling sonar is presented. Two main systems are specially designed. On the one hand, a dead reckoning system based on Lie Theory is presented to track integrated pose uncertainty. On the other hand, a rigid scan matching technique specialized for acoustic data is proposed, which allows one to estimate the uncertainty of the matching result. Moreover, Bayesian–Gaussian mixtures models are introduced to the scan matching problem and the registration problem is solved by an optimization in Lie groups. The SLAM system is tested on real data and executed in real time with the robotic application. Using this system, section maps at constant depth can be obtained from a three-dimensional underwater domain. The presented SLAM system constitutes the first achievement towards an underwater Active SLAM application.CRUE‐CSIC; PLOME, Grant/Award Number:PLEC2021‐007525; Biter‐AUV,Grant/Award Number: PID2020‐114732RB‐C33; Spanish Government,Grant/Award Number: FPU19/03638Peer ReviewedJohn Wiley & sons20242024-05-0120242024-02-09journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/401664https://dx.doi.org/10.1002/rob.22272reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4016642026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
Underwater Pose SLAM using GMM scan matching for a mechanical profiling sonar |
| title |
Underwater Pose SLAM using GMM scan matching for a mechanical profiling sonar |
| spellingShingle |
Underwater Pose SLAM using GMM scan matching for a mechanical profiling sonar Vial Serrat, Pau Acoustic scan registration Autonomous underwater vehicles Field robotics Gaussian mixtures model Lie theory optimization Pose SLAM Profiling sonars Classificació INSPEC::Optimisation Àrees temàtiques de la UPC::Informàtica::Robòtica |
| title_short |
Underwater Pose SLAM using GMM scan matching for a mechanical profiling sonar |
| title_full |
Underwater Pose SLAM using GMM scan matching for a mechanical profiling sonar |
| title_fullStr |
Underwater Pose SLAM using GMM scan matching for a mechanical profiling sonar |
| title_full_unstemmed |
Underwater Pose SLAM using GMM scan matching for a mechanical profiling sonar |
| title_sort |
Underwater Pose SLAM using GMM scan matching for a mechanical profiling sonar |
| dc.creator.none.fl_str_mv |
Vial Serrat, Pau Palomeras Rovira, Narcís Solà Ortega, Joan|||0000-0002-2933-3381 Carreras Pérez, Marc |
| author |
Vial Serrat, Pau |
| author_facet |
Vial Serrat, Pau Palomeras Rovira, Narcís Solà Ortega, Joan|||0000-0002-2933-3381 Carreras Pérez, Marc |
| author_role |
author |
| author2 |
Palomeras Rovira, Narcís Solà Ortega, Joan|||0000-0002-2933-3381 Carreras Pérez, Marc |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Acoustic scan registration Autonomous underwater vehicles Field robotics Gaussian mixtures model Lie theory optimization Pose SLAM Profiling sonars Classificació INSPEC::Optimisation Àrees temàtiques de la UPC::Informàtica::Robòtica |
| topic |
Acoustic scan registration Autonomous underwater vehicles Field robotics Gaussian mixtures model Lie theory optimization Pose SLAM Profiling sonars Classificació INSPEC::Optimisation Àrees temàtiques de la UPC::Informàtica::Robòtica |
| description |
This is an open access article under the terms of theCreative Commons Attribution‐NonCommercial‐NoDerivsLicense |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 2024-05-01 2024 2024-02-09 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/401664 https://dx.doi.org/10.1002/rob.22272 |
| url |
https://hdl.handle.net/2117/401664 https://dx.doi.org/10.1002/rob.22272 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
John Wiley & sons |
| publisher.none.fl_str_mv |
John Wiley & sons |
| dc.source.none.fl_str_mv |
reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
| instname_str |
Universitat Politècnica de Catalunya (UPC) |
| reponame_str |
UPCommons. Portal del coneixement obert de la UPC |
| collection |
UPCommons. Portal del coneixement obert de la UPC |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869410226317295616 |
| score |
15,300719 |