Publication:
Li-Tect: 3-D Monitoring and Shape Detection Using Visible Light Sensors

dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Comunicacioneses
dc.contributor.authorJarchio, Elnaz Alizadeh
dc.contributor.authorTang, Xuan
dc.contributor.authorDoroud, Hossein
dc.contributor.authorGil Jiménez, Víctor Pedro
dc.contributor.authorLin, Bangjiang
dc.contributor.authorCasari, Paolo
dc.contributor.authorGhassemlooy, Zabih
dc.contributor.funderEuropean Commissionen
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2021-05-19T10:05:09Z
dc.date.available2021-05-19T10:05:09Z
dc.date.issued2019-02-01
dc.description.abstractIn this paper, we propose Li-Tect, an algorithm to detect the shape of an object located in an indoor environment using low cost optical elements through sensing the environment's light. The algorithm analyzes, relying on the predictability of optical propagation paths, how much light is expected to propagate in the absence of obstructions caused by the presence of an object. Then, based on the received light when the object is in the room, the algorithm infers the shape of the object. In addition, the algorithm considers the reflected paths from surfaces in order to determine the object's estimated shape. We study five different scenarios characterized by different levels of complexity, room sizes, and a range of reflection nodes. The algorithm is also tested in a real prototype where several experiments are carried out in two scenarios to demonstrate the capabilities of Li-Tect in 2-D and 3-D monitoring and shape detection cases. Finally, the results show that the shape and the detection of objects in the scenarios can be easily acquired with high accuracy, even if the number of transceivers is reduced.en
dc.description.sponsorshipThis work was supported in part by the Spanish Government under the National Projects “ELISA” and “TERESA-ADA” with ID TEC2014-59255-C3-3-R and TEC2017-90093-C3-2-R, respectively and in part by the European project called VisIoN. This work has been finalized under the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement 764461.en
dc.description.statusPublicadoes
dc.format.extent9
dc.identifier.bibliographicCitationIEEE Sensors Journal, (2019), 19(3), p. 940-949.en
dc.identifier.doihttps://doi.org/10.1109/JSEN.2018.2879398
dc.identifier.issn1530-437X
dc.identifier.publicationfirstpage940
dc.identifier.publicationissue3
dc.identifier.publicationlastpage949
dc.identifier.publicationtitleIEEE SENSORS JOURNALen
dc.identifier.publicationvolume19
dc.identifier.urihttps://hdl.handle.net/10016/32679
dc.identifier.uxxiAR/0000022989
dc.language.isoengen
dc.publisherIEEEen
dc.relation.projectIDGobierno de España. TEC2014-59255-C3-3-R/ELISAes
dc.relation.projectIDGobierno de España. TEC2017-90093-C3-2-R/TERESA-ADAes
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/764461es
dc.rights© 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherRay tracingen
dc.subject.otherMonitoringen
dc.subject.otherVisible light sensorsen
dc.subject.otherShape detectionen
dc.subject.otherVisible light communicationsen
dc.titleLi-Tect: 3-D Monitoring and Shape Detection Using Visible Light Sensorsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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