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

dc.contributor.author	Rodríguez Cuenca, Borja
dc.contributor.author	García Cortés, Silverio
dc.contributor.author	Ordóñez Galán, Celestino
dc.contributor.author	Alonso, María Concepción
dc.date.accessioned	2015-07-13T11:29:03Z
dc.date.available	2015-07-13T11:29:03Z
dc.date.issued	2015
dc.identifier.citation	Automation In Construction, 51, p. 103-112 (2015); doi:10.1016/j.autcon.2014.12.009
dc.identifier.issn	0926-5805
dc.identifier.issn	1872-7891
dc.identifier.uri	http://hdl.handle.net/10651/31692
dc.description.sponsorship	The 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.extent	p. 103-112
dc.language.iso	eng
dc.relation.ispartof	Automation In Construction
dc.rights	© 2014 Elsevier B.V.
dc.source	WOS:000349732500009
dc.title	An approach to detect and delineate street curbs from MLS 3D point cloud data	eng
dc.type	journal article
dc.identifier.doi	10.1016/j.autcon.2014.12.009
dc.relation.projectID	MICINN/CGL2010-15357/BTE
dc.relation.projectID	MICINN/BIA2011-26915
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.autcon.2014.12.009

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