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dc.contributor.authorSánchez-Garrido, José Carlos 
dc.contributor.authorMonroy, Javier
dc.contributor.authorGonzález-Jiménez, Antonio Javier 
dc.date.accessioned2018-02-02T11:42:12Z
dc.date.available2018-02-02T11:42:12Z
dc.date.created2018
dc.date.issued2018-02-02
dc.identifier.urihttps://hdl.handle.net/10630/15104
dc.description.abstractThis work deals with the problem of gas source localization by a mobile robot with gas-sensing capabilities. Particularly, we address the problem for the case of indoor environments, where the presence of obstacles and the possibly complex structure with multiple rooms, inlets and outlets provoke the chaotic dispersion of the gases. Under these challenging conditions, where traditional approaches based on tracking or mathematical modeling of the plume cannot be applied, we propose a two-stage methodology to split the search into coarse and fine localization. Focusing on the broad localization, we contribute with a novel approach to estimate, from a set of sparse observations, the likelihood of different regions in the environment to hold a gas source. Experiments demonstrate that our approach is suitable to locate gas emission sources.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRobóticaen_US
dc.subject.otherGas source localizationen_US
dc.subject.otherOlfactory robotsen_US
dc.subject.otherIndoor environmentsen_US
dc.titleProbabilistic localization of gas emission areas with a mobile robot in indoor environmentsen_US
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroE.T.S.I. Informáticaen_US
dc.relation.eventtitle1st International Conference on Applications of Intelligent Systems (APPIS)en_US
dc.relation.eventplaceLas Palmas de Gran Canariaen_US
dc.relation.eventdate8 January 2018en_US
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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