Coastal Areas Division and Coverage with Multiple UAVs for Remote Sensing

This paper tackles the problems of exact cell decomposition and partitioning of a coastal region for a team of heterogeneous Unmanned Aerial Vehicles (UAVs) with an approach that takes into account the field of view or sensing radius of the sensors on-board. An initial sensor-based exact celldecompos...

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Detalles Bibliográficos
Autores: Balampanis, Fotios, Maza Alcañiz, Iván, Ollero Baturone, Aníbal
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/61521
Acceso en línea:http://hdl.handle.net/11441/61521
https://doi.org/10.3390/s17040808
Access Level:acceso abierto
Palabra clave:Remote sensors
Unmanned Aerial Vehicles
Area partition
Cell decomposition
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spelling Coastal Areas Division and Coverage with Multiple UAVs for Remote SensingBalampanis, FotiosMaza Alcañiz, IvánOllero Baturone, AníbalRemote sensorsUnmanned Aerial VehiclesArea partitionCell decompositionThis paper tackles the problems of exact cell decomposition and partitioning of a coastal region for a team of heterogeneous Unmanned Aerial Vehicles (UAVs) with an approach that takes into account the field of view or sensing radius of the sensors on-board. An initial sensor-based exact celldecompositionoftheareaaidsinthepartitioningprocess,whichisperformedintwosteps. Inthe first step, a growing regions algorithm performs an isotropic partitioning of the area based on the initial locations of the UAVs and their relative capabilities. Then, two novel algorithms are applied to compute an adjustment of this partitioning process, in order to solve deadlock situations that generate non-allocated regions and sub-areas above or below the relative capabilities of the UAVs. Finally, realistic simulations have been conducted for the evaluation of the proposed solution, and the obtained results show that these algorithms can compute valid and sound solutions in complex coastal region scenarios under different setups for the UAVsMinisterio de Economía, Industria y Competitividad DPI2014-C2-1-RMDPIIngeniería de Sistemas y AutomáticaTEP151: Robótica, Visión y ControlMinisterio de Economia, Industria y Competitividad (MINECO). España2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/11441/61521https://doi.org/10.3390/s17040808reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésSensors, 17 (4), 1-25.info:eu-repo/grantAgreement/MINECO/DPI2014-59383-C2-1-R/http://dx.doi.org/10.3390/s17040808info:eu-repo/semantics/openAccessoai:idus.us.es:11441/615212026-06-17T12:51:07Z
dc.title.none.fl_str_mv Coastal Areas Division and Coverage with Multiple UAVs for Remote Sensing
title Coastal Areas Division and Coverage with Multiple UAVs for Remote Sensing
spellingShingle Coastal Areas Division and Coverage with Multiple UAVs for Remote Sensing
Balampanis, Fotios
Remote sensors
Unmanned Aerial Vehicles
Area partition
Cell decomposition
title_short Coastal Areas Division and Coverage with Multiple UAVs for Remote Sensing
title_full Coastal Areas Division and Coverage with Multiple UAVs for Remote Sensing
title_fullStr Coastal Areas Division and Coverage with Multiple UAVs for Remote Sensing
title_full_unstemmed Coastal Areas Division and Coverage with Multiple UAVs for Remote Sensing
title_sort Coastal Areas Division and Coverage with Multiple UAVs for Remote Sensing
dc.creator.none.fl_str_mv Balampanis, Fotios
Maza Alcañiz, Iván
Ollero Baturone, Aníbal
author Balampanis, Fotios
author_facet Balampanis, Fotios
Maza Alcañiz, Iván
Ollero Baturone, Aníbal
author_role author
author2 Maza Alcañiz, Iván
Ollero Baturone, Aníbal
author2_role author
author
dc.contributor.none.fl_str_mv Ingeniería de Sistemas y Automática
TEP151: Robótica, Visión y Control
Ministerio de Economia, Industria y Competitividad (MINECO). España
dc.subject.none.fl_str_mv Remote sensors
Unmanned Aerial Vehicles
Area partition
Cell decomposition
topic Remote sensors
Unmanned Aerial Vehicles
Area partition
Cell decomposition
description This paper tackles the problems of exact cell decomposition and partitioning of a coastal region for a team of heterogeneous Unmanned Aerial Vehicles (UAVs) with an approach that takes into account the field of view or sensing radius of the sensors on-board. An initial sensor-based exact celldecompositionoftheareaaidsinthepartitioningprocess,whichisperformedintwosteps. Inthe first step, a growing regions algorithm performs an isotropic partitioning of the area based on the initial locations of the UAVs and their relative capabilities. Then, two novel algorithms are applied to compute an adjustment of this partitioning process, in order to solve deadlock situations that generate non-allocated regions and sub-areas above or below the relative capabilities of the UAVs. Finally, realistic simulations have been conducted for the evaluation of the proposed solution, and the obtained results show that these algorithms can compute valid and sound solutions in complex coastal region scenarios under different setups for the UAVs
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11441/61521
https://doi.org/10.3390/s17040808
url http://hdl.handle.net/11441/61521
https://doi.org/10.3390/s17040808
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sensors, 17 (4), 1-25.
info:eu-repo/grantAgreement/MINECO/DPI2014-59383-C2-1-R/
http://dx.doi.org/10.3390/s17040808
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
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