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dc.contributor.authorCantizani-Estepa, Juan
dc.contributor.authorBravo-Arrabal, Juan
dc.contributor.authorFernández-Lozano, Juan Jesús 
dc.contributor.authorFortes-Rodríguez, Sergio 
dc.contributor.authorBarco-Moreno, Raquel 
dc.contributor.authorGarcía-Cerezo, Alfonso José 
dc.contributor.authorMandow, Anthony 
dc.date.accessioned2025-01-21T08:35:55Z
dc.date.available2025-01-21T08:35:55Z
dc.date.issued2022
dc.identifier.citationJ. Cantizani-Estepa et al., "Bluetooth Low Energy for Close Detection in Search and Rescue Missions With Robotic Platforms: An Experimental Evaluation," in IEEE Access, vol. 10, pp. 106169-106179, 2022, doi: 10.1109/ACCESS.2022.3204272.es_ES
dc.identifier.urihttps://hdl.handle.net/10630/36604
dc.description.abstractIn the field of rescue robotics, data collection about the environment and efficient communications are fundamental for the success of search and rescue missions. Digitalization provides new ways of detecting and localizing potential victims via the wireless devices carried by the users. Nowadays, the number of personal Bluetooth low energy wearables in use (smartbands, smartwatches, earbuds … ) increases constantly, being a yet-to-be-exploited personal radio frequency beacon in the case of an emergency, where the user may not be localized and unconscious. In this paper, the results of experimental tests of a Bluetooth low energy based detection system ported by terrestrial and aerial robots are provided, in order to test the feasibility of such system for the localization of the victims in unknown complex disaster areas. The results show that the tested devices can be reliably detected up to 15 meters away when using transmission power values typical of a smartphone, while being able to detect even lightly burdened devices. These results support the idea of developing an algorithm for the delimitation of areas of interest for the search and rescue groups, influencing the routes followed by the robot with the objective of exploring the detected devices area in the search of victims.es_ES
dc.description.sponsorshipSpanish Project (Grant Number: RTI2018-093421-B-I00) Horizon 2020 Project LOCalization and analytics on-demand embedded in the 5G ecosystem, for Ubiquitous vertical applicationS (LOCUS) receiving funds from the European Union (Grant Number: ICT-871249) 10.13039/501100011011-Junta de Andalucía and European Regional Development Fund (ERDF) [Consejería de Transformación Económica, Industria, Conocimiento y Universidades, Proyecto de Excelencia Provisión de servicios PPDR a través de Nuevas Tecnologías de Acceso radio (PENTA)] (Grant Number: P18-FR-4647) Postdoctoral Grant (Ref., DOC_01154, “Selección de personal investigador doctor convocado mediante Resolución de 21 de mayo de 2020”, Plan Andaluz de Investigación, Desarrollo e Innovación (PAIDI) 2020) Universidad de Málaga “I Plan Propio de Investigación, Transferencia y Divulgación Científica de la Universidad de Málaga—Ayudas para publicaciones en acceso abierto”es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRobóticaes_ES
dc.subjectInteligencia artificiales_ES
dc.subject.otherLocation awarenesses_ES
dc.subject.otherMobile robotses_ES
dc.subject.otherBluetoothes_ES
dc.subject.otherDroneses_ES
dc.subject.otherWireless sensor networkses_ES
dc.subject.otherAutonomous aerial vehicleses_ES
dc.subject.otherVegetation mappinges_ES
dc.subject.other5G mobile communicationes_ES
dc.subject.otherRescue robotses_ES
dc.titleBluetooth Low Energy for Close Detection in Search and Rescue Missions With Robotic Platforms: An Experimental Evaluationes_ES
dc.typejournal articlees_ES
dc.centroEscuela de Ingenierías Industrialeses_ES
dc.identifier.doi10.1109/ACCESS.2022.3204272.
dc.type.hasVersionVoRes_ES
dc.departamentoIngeniería de Sistemas y Automática
dc.rights.accessRightsopen accesses_ES


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