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dc.contributor.authorBarral Vales, Valentín
dc.contributor.authorSuárez-Casal, Pedro
dc.contributor.authorEscudero, Carlos J.
dc.contributor.authorGarcía-Naya, José A.
dc.date.accessioned2019-12-30T12:11:03Z
dc.date.available2019-12-30T12:11:03Z
dc.date.issued2019-10-12
dc.identifier.citationBarral, V.; Suárez-Casal, P.; Escudero, C.J.; García-Naya, J.A. Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments. Electronics 2019, 8, 1152.es_ES
dc.identifier.issn2079-9292
dc.identifier.urihttp://hdl.handle.net/2183/24554
dc.description.abstract[Abstract] Location and tracking needs are becoming more prominent in industrial environments nowadays. Process optimization, traceability or safety are some of the topics where a positioning system can operate to improve and increase the productivity of a factory or warehouse. Among the different options, solutions based on ultra-wideband (UWB) have emerged during recent years as a good choice to obtain highly accurate estimations in indoor scenarios. However, the typical harsh wireless channel conditions found inside industrial environments, together with interferences caused by workers and machinery, constitute a challenge for this kind of system. This paper describes a real industrial problem (location and tracking of forklift trucks) that requires precise internal positioning and presents a study on the feasibility of meeting this challenge using UWB technology. To this end, a simulator of this technology was created based on UWB measurements from a set of real sensors. This simulator was used together with a location algorithm and a physical model of the forklift to obtain estimations of position in different scenarios with different obstacles. Together with the simulated UWB sensor, an additional inertial sensor and optical sensor were modeled in order to test its effect on supporting the location based on UWB. All the software created for this work is published under an open-source license and is publicly available.es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2016-045es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01es_ES
dc.description.sponsorshipAgencia Estatal de Investigación de España; TEC2016-75067-C4-1-Res_ES
dc.language.isoenges_ES
dc.publisherM D P I AGes_ES
dc.relation.urihttps://doi.org/10.3390/electronics8101152es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectIndoor positioninges_ES
dc.subjectUltra-widebandes_ES
dc.subjectIndustrial environmentes_ES
dc.subjectIndustry 4.0es_ES
dc.titleMulti-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environmentses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleElectronicses_ES
UDC.volume8es_ES
UDC.issue10es_ES
UDC.startPage1152es_ES
dc.identifier.doi10.3390/electronics8101152


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