A parallel multilevel data decomposition algorithm for orientation estimation of unmanned aerial vehicles

Autores
Paz, Claudio; Nesmachnow, Sergio; Toloza, Hugo
Año de publicación
2014
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fast orientation estimation of unmanned aerial vehicles is important for maintain stable flight as well as to perform more complex task like obstacle avoidance, search, mapping, etc. The orientation estimation can be performed by means of the fusion of differentsensors like accelerometers, gyroscopes and magnetometers, however magnetometers suffer from high distortion in indoor flights, therefore information from cameras can be used as a replacement. This article presents a multilevel decomposition method to process images sent from an unmanned aerial vehicle to a ground station composed by an heterogeneous set of desktop computers. The multilevel decomposition is performed using an alter native hierarchy called Master/Taskmaster/Slaves in order to minimize the network latency. Results shows that using this hierarchy the speed of traditional Master/Slave can be doubled
Fil: Paz, Claudio. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en informática para la Ingeniería; Argentina.
Fil: Nesmachnow, Sergio. Universidad de la República. Facultad de Ingeniería. Instituto de Computación; Uruguay.
Fil: Toloza, Hugo. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en informática para la Ingeniería; Argentina.
Peer Reviewed
Fuente
CCIS 485, 206-220(2014)
Materia
orientation estimation
unmanned aerial vehicles
high per-formance computing
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Attribution-NonCommercial-NoDerivatives 4.0 International
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/14070
Acceder
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oai_identifier_str oai:ria.utn.edu.ar:20.500.12272/14070
network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling A parallel multilevel data decomposition algorithm for orientation estimation of unmanned aerial vehiclesPaz, ClaudioNesmachnow, SergioToloza, Hugoorientation estimationunmanned aerial vehicleshigh per-formance computingFast orientation estimation of unmanned aerial vehicles is important for maintain stable flight as well as to perform more complex task like obstacle avoidance, search, mapping, etc. The orientation estimation can be performed by means of the fusion of differentsensors like accelerometers, gyroscopes and magnetometers, however magnetometers suffer from high distortion in indoor flights, therefore information from cameras can be used as a replacement. This article presents a multilevel decomposition method to process images sent from an unmanned aerial vehicle to a ground station composed by an heterogeneous set of desktop computers. The multilevel decomposition is performed using an alter native hierarchy called Master/Taskmaster/Slaves in order to minimize the network latency. Results shows that using this hierarchy the speed of traditional Master/Slave can be doubledFil: Paz, Claudio. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en informática para la Ingeniería; Argentina.Fil: Nesmachnow, Sergio. Universidad de la República. Facultad de Ingeniería. Instituto de Computación; Uruguay.Fil: Toloza, Hugo. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en informática para la Ingeniería; Argentina.Peer ReviewedSpringer-Verlag Berlin Heidelberg2025-10-28T19:35:52Z2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdfhttps://hdl.handle.net/20.500.12272/14070CCIS 485, 206-220(2014)reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacionalspainfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Claudio Paz2026-09-24T12:44:19Zoai:ria.utn.edu.ar:20.500.12272/14070instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:44:20.579Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv A parallel multilevel data decomposition algorithm for orientation estimation of unmanned aerial vehicles
title A parallel multilevel data decomposition algorithm for orientation estimation of unmanned aerial vehicles
spellingShingle A parallel multilevel data decomposition algorithm for orientation estimation of unmanned aerial vehicles
Paz, Claudio
orientation estimation
unmanned aerial vehicles
high per-formance computing
title_short A parallel multilevel data decomposition algorithm for orientation estimation of unmanned aerial vehicles
title_full A parallel multilevel data decomposition algorithm for orientation estimation of unmanned aerial vehicles
title_fullStr A parallel multilevel data decomposition algorithm for orientation estimation of unmanned aerial vehicles
title_full_unstemmed A parallel multilevel data decomposition algorithm for orientation estimation of unmanned aerial vehicles
title_sort A parallel multilevel data decomposition algorithm for orientation estimation of unmanned aerial vehicles
dc.creator.none.fl_str_mv Paz, Claudio
Nesmachnow, Sergio
Toloza, Hugo
author Paz, Claudio
author_facet Paz, Claudio
Nesmachnow, Sergio
Toloza, Hugo
author_role author
author2 Nesmachnow, Sergio
Toloza, Hugo
author2_role author
author
dc.subject.none.fl_str_mv orientation estimation
unmanned aerial vehicles
high per-formance computing
topic orientation estimation
unmanned aerial vehicles
high per-formance computing
dc.description.none.fl_txt_mv Fast orientation estimation of unmanned aerial vehicles is important for maintain stable flight as well as to perform more complex task like obstacle avoidance, search, mapping, etc. The orientation estimation can be performed by means of the fusion of differentsensors like accelerometers, gyroscopes and magnetometers, however magnetometers suffer from high distortion in indoor flights, therefore information from cameras can be used as a replacement. This article presents a multilevel decomposition method to process images sent from an unmanned aerial vehicle to a ground station composed by an heterogeneous set of desktop computers. The multilevel decomposition is performed using an alter native hierarchy called Master/Taskmaster/Slaves in order to minimize the network latency. Results shows that using this hierarchy the speed of traditional Master/Slave can be doubled
Fil: Paz, Claudio. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en informática para la Ingeniería; Argentina.
Fil: Nesmachnow, Sergio. Universidad de la República. Facultad de Ingeniería. Instituto de Computación; Uruguay.
Fil: Toloza, Hugo. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en informática para la Ingeniería; Argentina.
Peer Reviewed
description Fast orientation estimation of unmanned aerial vehicles is important for maintain stable flight as well as to perform more complex task like obstacle avoidance, search, mapping, etc. The orientation estimation can be performed by means of the fusion of differentsensors like accelerometers, gyroscopes and magnetometers, however magnetometers suffer from high distortion in indoor flights, therefore information from cameras can be used as a replacement. This article presents a multilevel decomposition method to process images sent from an unmanned aerial vehicle to a ground station composed by an heterogeneous set of desktop computers. The multilevel decomposition is performed using an alter native hierarchy called Master/Taskmaster/Slaves in order to minimize the network latency. Results shows that using this hierarchy the speed of traditional Master/Slave can be doubled
publishDate 2014
dc.date.none.fl_str_mv 2014
2025-10-28T19:35:52Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12272/14070
url https://hdl.handle.net/20.500.12272/14070
dc.language.none.fl_str_mv spa
language spa
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
Claudio Paz
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
Claudio Paz
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv Springer-Verlag Berlin Heidelberg
publisher.none.fl_str_mv Springer-Verlag Berlin Heidelberg
dc.source.none.fl_str_mv CCIS 485, 206-220(2014)
reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 13.265058

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