dc.creator | Balampanis, Fotios | es |
dc.creator | Maza Alcañiz, Iván | es |
dc.creator | Ollero Baturone, Aníbal | es |
dc.date.accessioned | 2017-06-26T15:34:42Z | |
dc.date.available | 2017-06-26T15:34:42Z | |
dc.date.issued | 2017-04-09 | |
dc.identifier.citation | Balampanis, F., Maza Alcañiz, I. y Ollero Baturone, A. (2017). Coastal Areas Division and Coverage with Multiple UAVs for Remote Sensing. Sensors, 17 (4), 1-25. | |
dc.identifier.issn | 1424-8220 | es |
dc.identifier.uri | http://hdl.handle.net/11441/61521 | |
dc.description.abstract | 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 | es |
dc.description.sponsorship | Ministerio de Economía, Industria y Competitividad DPI2014-C2-1-R | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Sensors, 17 (4), 1-25. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Remote sensors | es |
dc.subject | Unmanned Aerial Vehicles | es |
dc.subject | Area partition | es |
dc.subject | Cell decomposition | es |
dc.title | Coastal Areas Division and Coverage with Multiple UAVs for Remote Sensing | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/DPI2014-59383-C2-1-R | es |
dc.relation.publisherversion | http://dx.doi.org/10.3390/s17040808 | es |
dc.identifier.doi | 10.3390/s17040808 | es |
dc.contributor.group | Universidad de Sevilla. TEP151: Robótica, Visión y Control | es |
idus.format.extent | 25 p. | es |
dc.journaltitle | Sensors | es |
dc.publication.volumen | 17 | es |
dc.publication.issue | 4 | es |
dc.publication.initialPage | 1 | es |
dc.publication.endPage | 25 | es |
dc.contributor.funder | Ministerio de Economia, Industria y Competitividad (MINECO). España | |