Repository logo
 
Publication

Geo-localization using indoor visible light communication

dc.contributor.authorLouro, Paula
dc.contributor.authorVieira, Manuela
dc.contributor.authorVieira, Pedro
dc.contributor.authorRodrigues, J.
dc.contributor.authorLima, M. de
dc.date.accessioned2021-10-26T10:38:59Z
dc.date.available2021-10-26T10:38:59Z
dc.date.issued2021
dc.descriptionEste trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2020 do Instituto Politécnico de Lisboa. Código de referência IPL/2020/GEO-LOC/ISEL
dc.description.abstractNowadays, Global Positioning Systems (GPS) are used everywhere for positioning and navigation. However, its use is not suitable in indoor environment, due to power budget constraints and the strong attenuation inside buildings. Therefore, indoors navigation takes advantage of other technologies to infer position. Recently, several Visible Light Positioning (VLP) systems have been reported. Among these technologies, Visible Light Communication (VLC) is one of the most promising, as its operation is based on the use of LED lights, currently widely used in the illumination solutions of most buildings. In this paper, we propose an indoor navigation system based on VLC in an industrial application for automated warehouses, where the navigation of autonomous vehicles (AVG) is supported by VLC. The proposed VLC system establishes bidirectional communication between the infrastructure and the guided vehicles. LED transmitters at the warehouse ceiling support downlink data transmission from the Infrastructure to Vehicle (I2V). This channel provides positioning and navigation of the vehicles, as well as transmission of dedicated messages related to the requested tasks of the management warehouse system to the autonomous vehicles. The uplink channel from the Vehicle to the Infrastructure (V2I) is used to acknowledge the requested tasks and transmit updates on the concluded tasks. Optical transmitters are tri-chromatic white LEDs with a wide angle beam. The characterization of the optical transmitter system is done through MatLab simulations for path loss and VLC channel gain prediction, using the Lambertian model for the LED light distribution. Dedicated receivers based on a-SiC:H/a-Si:H photodiodes with selective spectral sensitivity are used to record the transmitted signal. The decoding strategy is based on accurate calibration of the output signal.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLOURO, Paula; [et al] – Geo-localization using indoor visible light communication. In Proc. SPIE 11772, Optical Sensors 2021. Livestream. Vol. 11772. Pp. 1-13pt_PT
dc.identifier.doi10.1117/12.2589477pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/13933
dc.language.isoengpt_PT
dc.publisherSPIEpt_PT
dc.relationUID/EEA/00066/2019 - FCT within the Research Unit CTS – Center of Technology and Systemspt_PT
dc.relationProjeto financiado no âmbito do Concurso de Projetos de Investigação, Desenvolvimento, Inovação & Criação Artística (IDI&CA) financiados pelo Instituto Politécnico de Lisboa. IPL/2020/GEO-LOC/ISELpt_PT
dc.subjectVisible light communicationpt_PT
dc.subjectPath-losspt_PT
dc.subjectLED Lambertian modelpt_PT
dc.subjectIndoor positioningpt_PT
dc.subjectVehicle-to-infrastructurept_PT
dc.subjectInfrastructure-to-vehiclept_PT
dc.subjectAutomated guided vehiclept_PT
dc.titleGeo-localization using indoor visible light communicationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlace18 April 2021pt_PT
oaire.citation.endPage13pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleOptical Sensors 2021pt_PT
oaire.citation.volume11772pt_PT
person.familyNameLouro
person.familyNameVieira
person.familyNameVieira
person.givenNamePaula
person.givenNameManuela
person.givenNamePedro
person.identifier499161
person.identifier10792
person.identifier.ciencia-idE511-8C08-E606
person.identifier.ciencia-id9516-E25E-BB8E
person.identifier.ciencia-id071B-9A70-15B8
person.identifier.orcid0000-0002-4167-2052
person.identifier.orcid0000-0002-1150-9895
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-id7004567421
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication730dc3dd-73eb-428d-b3a6-430085e33585
relation.isAuthorOfPublicationb77c6785-9cfb-4cd4-90b5-c2b816bd7d11
relation.isAuthorOfPublication51ae3527-d4ea-46f4-b6c9-62c7b77ac728
relation.isAuthorOfPublication.latestForDiscoveryb77c6785-9cfb-4cd4-90b5-c2b816bd7d11

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Geo-location_PLouro.pdf
Size:
1.03 MB
Format:
Adobe Portable Document Format