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dc.contributor.authorČechavičius, Rokas
dc.contributor.authorSužiedelytė Visockienė, Jūratė
dc.contributor.authorTumelienė, Eglė
dc.date.accessioned2023-09-18T16:17:56Z
dc.date.available2023-09-18T16:17:56Z
dc.date.issued2022
dc.identifier.issn1682-1750
dc.identifier.other(SCOPUS_ID)85125505559
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/112942
dc.description.abstractWith the rapid development of new technologies, there is a growing necessity to optimize and to digitize as much as it is possible in all areas of work, including the designs of new facilities. Pre-formation of location's 3D model (by scanning) allows us to evaluate how the newly constructed object will integrate into the territory. The object of research is the pedestrian bridge over the river of Neris in Vilnius city (Lithuania). The aim of the research is to create a 3D model of the embankments of river Neris which will be required for the integration of the future bridge model. Equipment used for scanning of the embankments: Scanner Trimble X7, tablet T10 with new software Trimble Perspective and device Survey Mobile Point. Measurement results were processed using the program Trimble Real Works. Scanning points, geodetic data and other available data were integrated into the program. Scanning results (generated 3D models) and the project of river embankments were combined into a general model. The model was coordinated and data "garbage"was removed. Cloud-to-Cloud errors, point's coincident percent and results confidence have been identified during the modelling - joint between the scanning stations. The Cloud-to-Cloud errors of the connection between two embankments ranged from 1 mm to 28 mm. Points coincident percent varies from 25 to 62 %. The largest errors and the smallest coincident percent occurs by combining two sides of the embankments together into one model. The smallest errors and the largest coincident percent were between the one-side scanning stations point clouds. In the general project of embankments and the bridge project, some discrepancies were identified due to possible project coordination or modelling errors.eng
dc.formatPDF
dc.format.extentp. 47-50
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyConference Proceedings Citation Index - Science (Web of Science)
dc.relation.isreferencedbyConference Proceedings Citation Index - Social Science & Humanities (Web of Science)
dc.titleThree-dimensional (3D) modelling of the pedestrian bridge over the river Neris
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.accessRightsThis work is distributed under the Creative Commons Attribution 4.0 License.
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references12
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyAplinkos inžinerijos fakultetas / Faculty of Environmental Engineering
dc.subject.researchfieldT 010 - Matavimų inžinerija / Measurement engineering
dc.subject.studydirectionE04 - Matavimų inžinerija / Measurement engineering
dc.subject.vgtuprioritizedfieldsSD05 - Geodezinės technologijos / Geodetic technologies
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.en3D model
dc.subject.enCloud-to-Cloud error
dc.subject.enground control point
dc.subject.enscanning results
dc.subject.enTrimble X7
dcterms.sourcetitleInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 7–8 February 2022, Prague, Czech Republic : proceedings: Measurement, Visualisation and Processing in BIM for Design and Construction Management II
dc.description.issue5/W1-2022
dc.description.volumevol. 46
dc.publisher.nameInternational Society for Photogrammetry and Remote Sensing
dc.identifier.doi2-s2.0-85125505559
dc.identifier.doi85125505559
dc.identifier.doi1
dc.identifier.doi134443207
dc.identifier.doi000861105900007
dc.identifier.doi10.5194/isprs-archives-XLVI-5-W1-2022-47-2022
dc.identifier.elaba123047996


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