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dc.contributor.authorBallesta Garcia, Maria
dc.contributor.authorPeña Gutiérrez, Sara
dc.contributor.authorRodríguez Aramendía, Ana
dc.contributor.authorGarcía Gómez, Pablo
dc.contributor.authorRodrigo Arcay, Noel
dc.contributor.authorBobi Olmo, Aleix Ramón
dc.contributor.authorRoyo Royo, Santiago
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Òptica
dc.contributor.otherUniversitat Politècnica de Catalunya. Centre de Desenvolupament de Sensors, Instrumentació i Sistemes
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Òptica i Optometria
dc.date.accessioned2022-11-04T17:13:22Z
dc.date.available2022-11-04T17:13:22Z
dc.date.issued2022-11-07
dc.identifier.citationBallesta-Garcia, M. [et al.]. Analysis of the performance of a polarized LiDAR imager in fog. "Optics express", 7 Novembre 2022, vol. 30, núm. 23, p. 41524-41540.
dc.identifier.issn1094-4087
dc.identifier.urihttp://hdl.handle.net/2117/375699
dc.description.abstractThis paper focuses on exploring ways to improve the performance of LiDAR imagers through fog. One of the known weaknesses of LiDAR technology is the lack of tolerance to adverse environmental conditions, such as the presence of fog, which hampers the future development of LiDAR in several markets. Within this paper, a LiDAR unit is designed and constructed to be able to apply temporal and polarimetric discrimination for detecting the number of signal photons received with detailed control of its temporal and spatial distribution under co-polarized and cross-polarized configurations. The system is evaluated using different experiments in a macro-scale fog chamber under controlled fog conditions. Using the complete digitization of the acquired signals, we analyze the natural light media response, to see that due to its characteristics it could be directly filtered out. Moreover, we confirm that there exists a polarization memory effect, which, by using a polarimetric cross-configuration detector, allows improvement of object detection in point clouds. These results are useful for applications related to computer vision, in fields like autonomous vehicles or outdoor surveillance where many variable types of environmental conditions may be present.
dc.description.sponsorshipAgència de Gestió d’Ajuts Universitaris i de Recerca (2021FI_B2 00068, 2021FI_B2 00077); DSTL (DSTLX1000145661); Ministerio de Ciencia e Innovación (PDC2021-121038-I00, PID2020-119484RB-I00).
dc.format.extent17 p.
dc.language.isoeng
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica
dc.subject.lcshFog
dc.subject.lcshRemote sensing
dc.titleAnalysis of the performance of a polarized LiDAR imager in fog
dc.typeArticle
dc.subject.lemacBoira
dc.subject.lemacTeledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. GREO - Grup de Recerca en Enginyeria Òptica
dc.identifier.doi10.1364/OE.471872
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://opg.optica.org/oe/fulltext.cfm?uri=oe-30-23-41524&id=512678
dc.rights.accessOpen Access
local.identifier.drac34341004
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119484RB-I00/ES/IMAGEN MULTIMODAL PARA VISION A TRAVES DE MEDIOS DISPERSORES/
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN/2PE/PDC2021-121038-I00
local.citation.authorBallesta-Garcia, M.; Peña-Gutiérrez, S.; Rodríguez, A.; García-Gómez, P.; Rodrigo, N.; Bobi, A.; Royo, S.
local.citation.publicationNameOptics express
local.citation.volume30
local.citation.number23
local.citation.startingPage41524
local.citation.endingPage41540


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