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DC poleHodnotaJazyk
dc.contributor.authorVeľas, Martin
dc.contributor.authorŠpaněl, Michal
dc.contributor.authorMaterna, Zdeněk
dc.contributor.authorHerout, Adam
dc.contributor.editorSkala, Václav
dc.date.accessioned2017-11-08T06:41:49Z
dc.date.available2017-11-08T06:41:49Z
dc.date.issued2014
dc.identifier.citationWSCG 2014: communication papers proceedings: 22nd International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 135-144.en
dc.identifier.isbn978-80-86943-71-8
dc.identifier.uriwscg.zcu.cz/WSCG2014/!!_2014-WSCG-Communication.pdf
dc.identifier.urihttp://hdl.handle.net/11025/26408
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG 2014: communication papers proceedingsen
dc.rights@ Václav Skala - UNION Agencycs
dc.subjectkameracs
dc.subjectLiDARcs
dc.subjectVelodynecs
dc.subjectkalibracecs
dc.subjectmarkercs
dc.titleCalibration of RGB camera with velodyne LiDARen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedCalibration of the LiDAR sensor with RGB camera finds its usage in many application fields from enhancing image classification to the environment perception and mapping. This paper presents a pipeline for mutual pose and orientation estimation of the mentioned sensors using a coarse to fine approach. Previously published methods use multiple views of a known chessboard marker for computing the calibration parameters, or they are limited to the calibration of the sensors with a small mutual displacement only. Our approach presents a novel 3D marker for coarse calibration which can be robustly detected in both the camera image and the LiDAR scan. It also requires only a single pair of camera-LiDAR frames for estimating large sensors displacement. Consequent refinement step searches for more accurate calibration in small subspace of calibration parameters. The paper also presents a novel way for evaluation of the calibration precision using projection error.en
dc.subject.translatedcameraen
dc.subject.translatedLiDARen
dc.subject.translatedVelodyneen
dc.subject.translatedcalibrationen
dc.subject.translatedmarkeren
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2014: Communication Papers Proceedings

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