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dc.contributor.authorScheer, Fabian
dc.contributor.authorNeumann, Markus
dc.contributor.authorWirth, Konrad
dc.contributor.authorGinader, Marvin
dc.contributor.authorOezkurt, Yavuz
dc.contributor.authorMueller, Stefan
dc.contributor.editorSkala, Václav
dc.date.accessioned2020-07-24T06:54:27Z-
dc.date.available2020-07-24T06:54:27Z-
dc.date.issued2020
dc.identifier.citationJournal of WSCG. 2020, vol. 28, no. 1-2, p. 71-78.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2020/2020-J_WSCG-1-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/38427
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjecthodnocenícs
dc.subjectsledování podle modelucs
dc.subjectmetody hodnocenícs
dc.subjectsynchronizace s dopravníkemcs
dc.subjectrobotická výrobní linkacs
dc.titleEvaluation of model-based tracking and its application in a robotic production lineen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe assessment of the accuracy and stability of model-based tracking approaches in the literature is a challenging task. Many of the presented methods lack a detailed evaluation or comparison to accurate ground truth data. Considering real world applications, it is hard to estimate the applicability of the respective method. In this paper we present methods to evaluate the accuracy and stability of model-based tracking approaches. Thereby, we focus on an industrial use and the robustness of the approach considering error sources like the influence of lighting over time, noise and the mechanical camera setup in general. The second part of this paper deals with the evaluation and application of model-based tracking in a robotic production line for gap measurements in the automotive industry. We present a method for synchronization with a conveyor setup and an operating robot. In this complex setup various error sources influence the output accuracy of the system. A further accuracy evaluation method is presented that uses the robot as a measurement device of the total error. The paper closes with the application of a model-based tracking system for robotic measurement tasks in a production line.en
dc.subject.translatedevaluationen
dc.subject.translatedmodel-based trackingen
dc.subject.translatedevaluation methodsen
dc.subject.translatedsynchronization to conveyoren
dc.subject.translatedrobotic production lineen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2020.28.9
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 28, Number 1-2 (2020)

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