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dc.contributor.authorAlonso Nieto, Marcos
dc.contributor.authorIzaguirre Altuna, Alberto
dc.contributor.authorAndonegui Artegui, Imanol
dc.contributor.authorGraña Romay, Manuel María
dc.date.accessioned2020-10-15T10:02:12Z
dc.date.available2020-10-15T10:02:12Z
dc.date.issued2020-09-22
dc.identifier.citationSensors 20(18) : (2020) // Article ID 5441es_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10810/46907
dc.description.abstractFlatness sensors are required for quality control of metal sheets obtained from steel coils by roller leveling and cutting systems. This article presents an innovative system for real-time robust surface estimation of flattened metal sheets composed of two line lasers and a conventional 2D camera. Laser plane triangulation is used for surface height retrieval along virtual surface fibers. The dual laser allows instantaneous robust and quick estimation of the fiber height derivatives. Hermite cubic interpolation along the fibers allows real-time surface estimation and high frequency noise removal. Noise sources are the vibrations induced in the sheet by its movements during the process and some mechanical events, such as cutting into separate pieces. The system is validated on synthetic surfaces that simulate the most critical noise sources and on real data obtained from the installation of the sensor in an actual steel mill. In the comparison with conventional filtering methods, we achieve at least a 41% of improvement in the accuracy of the surface reconstruction.es_ES
dc.description.sponsorshipThis work was partially supported by FEDER funds through MINECO project TIN2017-85827-P, RFCS EU funded project FLATBEND with Grant Number 800730, and Grant IT1284-19 of the university research group of excellence from the Basque Government.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/TIN2017-85827-P, RFCS EUes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectcubic Hermite interpolationes_ES
dc.subjectlaser triangulationes_ES
dc.subjectmetal sheetes_ES
dc.subjectflatness measurementes_ES
dc.subjectroller levelinges_ES
dc.subjectsmooth surface reconstructiones_ES
dc.subjectshape measurement systemes_ES
dc.titleOptical Dual Laser Based Sensor Denoising for OnlineMetal Sheet Flatness Measurement Using Hermite Interpolationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2020-09-25T13:32:21Z
dc.rights.holder2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/20/18/5441es_ES
dc.identifier.doi10.3390/s20185441
dc.departamentoesCiencia de la computación e inteligencia artificial
dc.departamentoeuKonputazio zientziak eta adimen artifiziala


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2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).