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dc.contributor.authorMarco Rider, Jaime
dc.contributor.authorTingelstad, Lars
dc.contributor.authorEgeland, Olav
dc.date.accessioned2022-06-29T06:52:29Z
dc.date.available2022-06-29T06:52:29Z
dc.date.created2022-01-13T08:48:05Z
dc.date.issued2021
dc.identifier.issn1930-0395
dc.identifier.urihttps://hdl.handle.net/11250/3001438
dc.description.abstractLaser scanners are essential for many industrial applications such as inspection, metrology, assembly, and welding. Laser scanners are especially interesting in robotic welding to determine the shape and position of the welding groove. There is a wide range of commercial laser scanners available in the market, still, they exhibit some limitations when scanning reflective metals like aluminium, which poses a challenge when laser scanners are used for robotic welding of aluminium. In this paper, a novel laser scanning solution is presented based on a polarization image sensor, which minimizes unwanted reflections when scanning metallic surfaces. The hardware and software architectures are detailed in the paper. The proposed system is validated in experiments with the aluminium alloy 6082 where the system is able to detect the shape of a laser profile with higher precision than a standard image sensor-based laser scanner.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.titlePolarization image sensor-based laser scanner for reflective metals: architecture and implementationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.source.journalProceedings of IEEE Sensorsen_US
dc.identifier.doi10.1109/SENSORS47087.2021.9639607
dc.identifier.cristin1980064
dc.relation.projectNorges forskningsråd: 295138en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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