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dc.contributor.authorChamoso Santos, Pablo 
dc.contributor.authorPérez, Alberto
dc.contributor.authorRodríguez González, Sara 
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2017-09-06T09:16:34Z
dc.date.available2017-09-06T09:16:34Z
dc.date.issued2014/07
dc.identifier.citationInformation Fusion (FUSION), 2014 17th International Conference on . pp. 1-8.
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6916237&abstractAccess=no&userType=inst
dc.identifier.urihttp://hdl.handle.net/10366/135103
dc.description.abstractAn increase in the frequency of oil spills in the sea, which adversely affects the maritime environment, led to the motivation for this article. Recent advances in technology have now made it possible to provide Unmanned Aerial Vehicles (UAV) systems with great processing capacity. They include all the features of a complete computer, while maintaining a really small size as required by this kind of system. This investigation takes advantage of the functionalities provided by existing MultiAgent Systems (MAS) to accomplish tasks between UAVs. The article presents a case study that uses the capabilities to perform the detection of oil spills.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEE
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleModeling Oil-Spill Detection with multirotor systems based on multi-agent systems
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Unported