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An approach to detect and delineate street curbs from MLS 3D point cloud data

dc.contributor.authorRodríguez Cuenca, Borja
dc.contributor.authorGarcía Cortés, Silverio 
dc.contributor.authorOrdóñez Galán, Celestino 
dc.contributor.authorAlonso, María Concepción
dc.date.accessioned2015-07-13T11:29:03Z
dc.date.available2015-07-13T11:29:03Z
dc.date.issued2015
dc.identifier.citationAutomation In Construction, 51, p. 103-112 (2015); doi:10.1016/j.autcon.2014.12.009
dc.identifier.issn0926-5805
dc.identifier.issn1872-7891
dc.identifier.urihttp://hdl.handle.net/10651/31692
dc.description.sponsorshipThe authors would like to thank the Spanish Ministry of Science and Innovation for financial support, Project No. CGL2010-15357/BTE and Project No. BIA2011-26915.
dc.format.extentp. 103-112
dc.language.isoeng
dc.relation.ispartofAutomation In Construction
dc.rights© 2014 Elsevier B.V.
dc.sourceWOS:000349732500009
dc.titleAn approach to detect and delineate street curbs from MLS 3D point cloud dataeng
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.autcon.2014.12.009
dc.type.dcmitext
dc.relation.projectIDMICINN/CGL2010-15357/BTE
dc.relation.projectIDMICINN/BIA2011-26915
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.autcon.2014.12.009


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