Show simple item record

dc.contributor.authorProcházková, Janacs
dc.contributor.authorMartišek, Daliborcs
dc.date.accessioned2018-04-17T06:47:25Z
dc.date.available2018-04-17T06:47:25Z
dc.date.issued2018-03-23cs
dc.identifier.citation17th Conference on Applied Mathematics Aplimat 2018 Proceedings. 2018, p. 876-884.en
dc.identifier.isbn978-80-227-4765-3cs
dc.identifier.other146920cs
dc.identifier.urihttp://hdl.handle.net/11012/70943
dc.description.abstractPoint clouds are commontly used in many areas of technical practice. Nowadays, the common applications are in area of autonomous cars and 3D terrain or object modelling. During the scanning process, the scanning device or object is moving. So, the problem of precise point cloud registration arises. In this article, we describe Iterative Closest Point (ICP) algorithm that is suitable for fine registration. We introduce some of the improvements that leads to higher precision, speed computation and efficiency.en
dc.formattextcs
dc.format.extent876-884cs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.publisherInstitute of Mathematics and Physics, Faculty of Mechanical Engineering, Slovak University of Technology in Bratislavacs
dc.relation.ispartof17th Conference on Applied Mathematics Aplimat 2018 Proceedingscs
dc.relation.urihttp://evlm.stuba.sk/APLIMAT/indexe.htmcs
dc.rightsCreative Commons Attribution-NoDerivatives 4.0 Internationalcs
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/cs
dc.subjectIterative closest pointen
dc.subjectpoint clouden
dc.subjectleast square methoden
dc.titleNotes on iterative closest algorithmen
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Sekce matematikycs
sync.item.dbidVAV-146920en
sync.item.dbtypeVAVen
sync.item.insts2021.03.04 16:54:18en
sync.item.modts2021.03.04 16:14:19en
dc.rights.accessopenAccesscs
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Creative Commons Attribution-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution-NoDerivatives 4.0 International