Line-based registration of panoramic images and LiDAR point clouds for mobile mapping

dc.contributor.authorCui, Tingting
dc.contributor.authorJi, Shunping
dc.contributor.authorShan, Jie
dc.contributor.authorGong, Jianya
dc.contributor.authorLiu, Kejian
dc.date.accessioned2020-12-20T20:57:11Z
dc.date.available2020-12-20T20:57:11Z
dc.date.issued2017
dc.date.updated2020-11-23T10:45:35Z
dc.description.abstractFor multi-sensor integrated systems, such as the mobile mapping system (MMS), data fusion at sensor-level, i.e., the 2D-3D registration between an optical camera and LiDAR, is a prerequisite for higher level fusion and further applications. This paper proposes a line-based registration method for panoramic images and a LiDAR point cloud collected by a MMS. We first introduce the system configuration and specification, including the coordinate systems of the MMS, the 3D LiDAR scanners, and the two panoramic camera models. We then establish the line-based transformation model for the panoramic camera. Finally, the proposed registration method is evaluated for two types of camera models by visual inspection and quantitative comparison. The results demonstrate that the line-based registration method can significantly improve the alignment of the panoramic image and the LiDAR datasets under either the ideal spherical or the rigorous panoramic camera model, with the latter being more reliable.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/1885/218188
dc.language.isoen_AUen_AU
dc.publisherMDPI Publishing
dc.sourceSensors
dc.titleLine-based registration of panoramic images and LiDAR point clouds for mobile mapping
dc.typeJournal article
local.bibliographicCitation.issue1
local.bibliographicCitation.startpage70
local.contributor.affiliationCui, Tingting, Wuhan University
local.contributor.affiliationJi, Shunping, College of Engineering and Computer Science, ANU
local.contributor.affiliationShan, Jie, Wuhan University
local.contributor.affiliationGong, Jianya, Wuhan University
local.contributor.affiliationLiu, Kejian, University of China
local.contributor.authoremailrepository.admin@anu.edu.au
local.contributor.authoruidJi, Shunping, u1016373
local.description.notesImported from ARIES
local.identifier.absfor080106 - Image Processing
local.identifier.ariespublicationa383154xPUB8516
local.identifier.citationvolume17
local.identifier.doi10.3390/s17010070
local.identifier.scopusID2-s2.0-85008225490
local.identifier.thomsonID000393021000070
local.identifier.uidSubmittedBya383154
local.type.statusPublished Version

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