Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13538
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJoompolpong P.
dc.contributor.authorMittrapiyanuruk P.
dc.contributor.authorKeawtrakulpong P.
dc.date.accessioned2021-04-05T03:24:32Z-
dc.date.available2021-04-05T03:24:32Z-
dc.date.issued2016
dc.identifier.issn1674862X
dc.identifier.other2-s2.0-84975833313
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/13538-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84975833313&doi=10.11989%2fJEST.1674-862X.510052&partnerID=40&md5=2ebc2e7c33afd425a412e7e3f52f5274
dc.description.abstractIn this paper, we present a robot vision based system for coordinate measurement of feature points on large scale automobile parts. Our system consists of an industrial 6-DOF robot mounted with a CCD camera and a PC. The system controls the robot into the area of feature points. The images of measuring feature points are acquired by the camera mounted on the robot. 3D positions of the feature points are obtained from a model based pose estimation that applies to the images. The measured positions of all feature points are then transformed to the reference coordinate of feature points whose positions are obtained from the coordinate measuring machine (CMM). Finally, the point-to-point distances between the measured feature points and the reference feature points are calculated and reported. The results show that the root mean square error (RMSE) of measure values obtained by our system is less than 0.5 mm. Our system is adequate for automobile assembly and can perform faster than conventional methods.
dc.titleRobot vision system for coordinate measurement of feature points on large scale automobile part
dc.typeArticle
dc.rights.holderScopus
dc.identifier.bibliograpycitationJournal of Electronic Science and Technology. Vol 14, No.1 (2016), p.80-86
dc.identifier.doi10.11989/JEST.1674-862X.510052
Appears in Collections:Scopus 1983-2021

Files in This Item:
There are no files associated with this item.


Items in SWU repository are protected by copyright, with all rights reserved, unless otherwise indicated.