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dc.contributor.advisorOliveira Neto, Manuel Menezes dept_BR
dc.contributor.authorMoraes, Gabriel Tadiellopt_BR
dc.date.accessioned2023-07-20T03:35:04Zpt_BR
dc.date.issued2021pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/262419pt_BR
dc.description.abstractThe ability to (semi-)automatically obtain CAD models from physical installations has two important benefits: (i) it can be used to identify, as soon as possible during a con struction process, any deviations from the original designs; and (ii) it can be used to document complex installations for which CAD representations are outdated or inexis tent. Both scenarios have important practical and economic value. An ongoing project in our research group aims to reconstruct CAD representations from point clouds of in dustrial sites. However, pose estimation of pipes and piping system components is not perfect, resulting in misalignments in the reconstructed scene, which is unacceptable for a CAD model. For this undergraduate thesis, I propose to use optimization techniques to fix these misalignments. I also propose to convert the detected pipes and piping system components into actual CAD model representations for a popular commercial CAD soft ware, namely AutoCAD Plant 3D.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.rightsOpen Accessen
dc.subjectReverse engineeringen
dc.subjectEngenharia reversapt_BR
dc.subjectAlgoritmospt_BR
dc.subjectIndustrial plant sitesen
dc.subjectAutocadpt_BR
dc.subjectPiping systemsen
dc.subjectCADen
dc.titleAutomatic alignment of piping system components and generation of CAD models of industrial site plantspt_BR
dc.typeTrabalho de conclusão de graduaçãopt_BR
dc.identifier.nrb001136668pt_BR
dc.degree.grantorUniversidade Federal do Rio Grande do Sulpt_BR
dc.degree.departmentInstituto de Informáticapt_BR
dc.degree.localPorto Alegre, BR-RSpt_BR
dc.degree.date2021pt_BR
dc.degree.graduationCiência da Computação: Ênfase em Ciência da Computação: Bachareladopt_BR
dc.degree.levelgraduaçãopt_BR


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