Accurate calibration scheme for a multi-camera mobile mapping system

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dc.contributor.authorKhoramshahi, Ehsan
dc.contributor.authorCampos, Mariana Batista [UNESP]
dc.contributor.authorTommaselli, Antonio Maria Garcia [UNESP]
dc.contributor.authorVilijanen, Niko
dc.contributor.authorMielonen, Teemu
dc.contributor.authorKaartinen, Harri
dc.contributor.authorKukko, Antero
dc.contributor.authorHonkavaara, Eija
dc.contributor.institutionUniversity of Helsinki
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionAalto University
dc.contributor.institutionNational Land Survey of Finland
dc.contributor.institutionUniversity of Turku
dc.date.accessioned2020-12-12T01:50:04Z
dc.date.available2020-12-12T01:50:04Z
dc.date.issued2019-12-01
dc.description.abstractMobile mapping systems (MMS) are increasingly used for many photogrammetric and computer vision applications, especially encouraged by the fast and accurate geospatial data generation. The accuracy of point position in an MMS is mainly dependent on the quality of calibration, accuracy of sensor synchronization, accuracy of georeferencing and stability of geometric configuration of space intersections. In this study, we focus on multi-camera calibration (interior and relative orientation parameter estimation) and MMS calibration (mounting parameter estimation). The objective of this study was to develop a practical scheme for rigorous and accurate system calibration of a photogrammetric mapping station equipped with a multi-projective camera (MPC) and a global navigation satellite system (GNSS) and inertial measurement unit (IMU) for direct georeferencing. The proposed technique is comprised of two steps. Firstly, interior orientation parameters of each individual camera in an MPC and the relative orientation parameters of each cameras of the MPC with respect to the first camera are estimated. In the second step the offset and misalignment between MPC and GNSS/IMU are estimated. The global accuracy of the proposed method was assessed using independent check points. A correspondence map for a panorama is introduced that provides metric information. Our results highlight that the proposed calibration scheme reaches centimeter-level global accuracy for 3D point positioning. This level of global accuracy demonstrates the feasibility of the proposed technique and has the potential to fit accurate mapping purposes.en
dc.description.affiliationDepartment of Remote Sensing and Photogrammetry of the Finnish Geospatial Research Institute FGI, Geodeetinrinne 2
dc.description.affiliationDepartment of Computer Science University of Helsinki
dc.description.affiliationCartographic Department School of Technology and Sciences São Paulo State University (UNESP)
dc.description.affiliationDepartment of Built Environment School of Engineering Aalto University
dc.description.affiliationNational Land Survey of Finland, Opastinsilta 12C
dc.description.affiliationDepartment of Geography and Geology University of Turku
dc.description.affiliationUnespCartographic Department School of Technology and Sciences São Paulo State University (UNESP)
dc.format.extent1-22
dc.identifierhttp://dx.doi.org/10.3390/rs11232778
dc.identifier.citationRemote Sensing, v. 11, n. 23, p. 1-22, 2019.
dc.identifier.doi10.3390/rs11232778
dc.identifier.issn2072-4292
dc.identifier.scopus2-s2.0-85076552231
dc.identifier.urihttp://hdl.handle.net/11449/199816
dc.language.isoeng
dc.relation.ispartofRemote Sensing
dc.sourceScopus
dc.subjectDirect georeferencing
dc.subjectEpipolar geometry
dc.subjectMetric panorama
dc.subjectMobile mapping system
dc.subjectMulti-camera calibration
dc.subjectStructure from motion
dc.titleAccurate calibration scheme for a multi-camera mobile mapping systemen
dc.typeArtigo
unesp.author.orcid0000-0002-7352-9138[1]
unesp.author.orcid0000-0003-3430-7521[2]
unesp.author.orcid0000-0003-0483-1103[3]
unesp.author.orcid0000-0002-6307-1637[4]
unesp.author.orcid0000-0002-4796-3942[6]
unesp.author.orcid0000-0002-3841-6533[7]
unesp.author.orcid0000-0002-7236-2145[8]

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