An algorithm for surface growing from laser scan generated point clouts

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Show simple item record Paul, Gavin en_US Liu, Dikai en_US Kirchner, Nathan en_US
dc.contributor.editor T.-J. Tarn, S.B. Chen and C. Zhou en_US 2010-07-15T07:25:56Z 2010-07-15T07:25:56Z 2007 en_US
dc.identifier 2006009424 en_US
dc.identifier.citation Paul, Gavin, Liu, Dikai, and Kirchner, Nathan 2007, 'An algorithm for surface growing from laser scan generated point clouds', in (ed.), Robotic Welding, Intelligence and Automation, Springer-Verlag, Heidelberg, pp. 481-491. en_US
dc.identifier.issn 978-3-540-73373-7 en_US
dc.identifier.other B1 en_US
dc.description.abstract n robot applications requiring interaction with a partially/unknown environment, mapping is of paramount importance. This paper presents an effective surface growing algorithm for map building based on laser scan generated point clouds. The algorithm directly converts a point cloud into a surface and normals form which sees a significant reduction in data size and is in a desirable format for planning the interaction with surfaces. It can be used in applications such as robotic cleaning, painting and welding. en_US
dc.language en_US
dc.publisher Springer en_US
dc.relation.hasversion Accepted manuscript version en_US
dc.relation.isbasedon en_US
dc.rights The original publication is available at en_US
dc.title An algorithm for surface growing from laser scan generated point clouts en_US
dc.parent Robotic Welding, Intelligence and Automation en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Heidelberg en_US
dc.identifier.startpage 481 en_US
dc.identifier.endpage 491 en_US FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.for 091000 en_US
dc.personcode 101395 en_US
dc.personcode 000350 en_US
dc.personcode 998260 en_US
dc.percentage 34 en_US Manufacturing Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US en_US
dc.location.activity en_US
dc.description.keywords en_US
dc.staffid en_US
dc.staffid 998260 en_US

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