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VLC-based geo-localization for automated logistics control using AVGs

2022-03-06Conference object Restricted access
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dc.contributor.authorLouro, Paula
dc.contributor.authorRodrigues, João
dc.contributor.authorVieira, Manuela
dc.contributor.authorVieira, Manuel Augusto
dc.contributor.authorVieira, Pedro
dc.date.accessioned2022-03-11T14:36:28Z
dc.date.available2022-03-11T14:36:28Z
dc.date.issued2022-03-06
dc.description.abstractIncreasing interest in indoor navigation has recently been generated by devices with wireless communication capabilities that enabled a wide range of applications and services. The rise of the Internet of Things (IoT) and the inherent end-to end connectivity of billions of devices is very attractive for indoor localization and proximity detection. Other fields, such as, marketing and customer assistance, health services, asset management and tracking, can also benefit from indoor localization. Different techniques and wireless technologies have been proposed for indoor location, as the traditional Global Positioning System (GPS) has a very poor, unreliable performance in a closed space. The work presented in this research proposes the use of an indoor localization system based on Visible Light Communication (VLC) to support the navigation and operational tasks of Autonomous Guided Vehicles (AVG) in an automated warehouse. The research is mainly focused on the development of the navigation VLC system, transmission of control data information and decoding techniques. As part of the communication system, trichromatic white LEDs are used as emitters and a-SiC:H/a-Si:H based photodiodes with selective spectral sensitivity, are used as receivers. Through the modulation of the RGB LEDs, the downlink channel establishes an infrastructure-to-vehicle link (I2V) and provides position information to the vehicle. The decoding strategy is based on accurate calibration of the output signal. Characterization of the transmitters and receivers, description of the coding schemes and decoding algorithms will be the focus of discussion in this paper.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLOURO, P. [et al] – VLC-based geo-localization for automated logistics control using AVGs. In Proceedings of SPIE 12027, Metro and Data Center Optical Networks and Short-Reach Links V (3 March 2022). San Francisco, California, United States. ISSN 0277-786X. Vol. 12027. Pp. 120270U-1-120270U-12.pt_PT
dc.identifier.doi10.1117/12.2608798pt_PT
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/10400.21/14443
dc.language.isoengpt_PT
dc.publisherSPIE OPTOpt_PT
dc.relationUID/EEA/00066/2019 - FCT within the Research Unit CTS – Center of Technology and Systemspt_PT
dc.subjectVisible light communicationpt_PT
dc.subjectIndoor navigationpt_PT
dc.subjectVehicle-To-Infrastructurept_PT
dc.subjectInfrastructure-To-Vehiclept_PT
dc.subjectWhite LEDpt_PT
dc.subjectAutonomous Guided Vehiclept_PT
dc.subjectDecoding techniquespt_PT
dc.titleVLC-based geo-localization for automated logistics control using AVGspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSan Francisco, California, United Statespt_PT
oaire.citation.endPage120270U-12pt_PT
oaire.citation.startPage120270U-1pt_PT
oaire.citation.titleMetro and Data Center Optical Networks and Short-Reach Links Vpt_PT
oaire.citation.volume12027pt_PT
person.familyNameLouro
person.familyNameVieira
person.familyNameAugusto Vieira
person.familyNameVieira
person.givenNamePaula
person.givenNameManuela
person.givenNameManuel
person.givenNamePedro
person.identifier499161
person.identifier10792
person.identifierI-8527-2018
person.identifier.ciencia-idE511-8C08-E606
person.identifier.ciencia-id9516-E25E-BB8E
person.identifier.ciencia-idA511-1330-549F
person.identifier.ciencia-id071B-9A70-15B8
person.identifier.orcid0000-0002-4167-2052
person.identifier.orcid0000-0002-1150-9895
person.identifier.orcid0000-0003-1385-3646
person.identifier.orcid0000-0003-0279-8741
person.identifier.ridU-8346-2017
person.identifier.ridV-7860-2017
person.identifier.scopus-author-id8845716400
person.identifier.scopus-author-id7202140173
person.identifier.scopus-author-id5719 1567905
person.identifier.scopus-author-id7004567421
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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