Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/9792
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dc.contributor.authorFigueiredo, Mauro-
dc.date.accessioned2017-04-07T17:03:40Z-
dc.date.available2017-04-07T17:03:40Z-
dc.date.issued2009-
dc.identifier.isbn978-972-8924-84-3-
dc.identifier.otherAUT: MFI01071;-
dc.identifier.urihttp://hdl.handle.net/10400.1/9792-
dc.description.abstractThis paper presents an efficient collision detection algorithm designed to support assembly and maintenance simulation of complex assemblies. This approach exploits the surface knowledge, available from CAD models, to determine intersecting surfaces. It proposes a novel combination of Overlapping Axis-Aligned Bounding Box (OAABB) and R-tree structures to gain considerable performance improvements. This paper also shows an efficient traversal algorithm based on the R-tree structure of Axis-Aligned Bounding Boxes to determine intersecting objects and intersecting surfaces between three-dimensional components, for supporting the recognition of constraints in assembly and disassembly operations in virtual prototyping environments. The implementation of the proposed collision detection algorithm performs well against moderately complex industrial case studies. Current experimental results show that this implementation is effective in determining intersecting surfaces at interactive rates with moderately complex real case studies.pt_PT
dc.language.isoengpt_PT
dc.publisherIADISpt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCollision detectionpt_PT
dc.subjectVirtual prototypingpt_PT
dc.subjectBounding volume hierarchiespt_PT
dc.titleSurface collision detection for virtual prototypingpt_PT
dc.typeconferenceObjectpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
degois.publication.firstPage65pt_PT
degois.publication.lastPage72pt_PT
degois.publication.locationAlgarve, Portugalpt_PT
degois.publication.titleIADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processingpt_PT
dc.relation.publisherversionhttp://www.iadisportal.org/cgvcvip-2009-proceedingspt_PT
dc.peerreviewedyespt_PT
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