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Towards Urban Digit...
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Somanath, Sanjay,1994Chalmers tekniska högskola,Chalmers University of Technology
(author)
Towards Urban Digital Twins: A Workflow for Procedural Visualization Using Geospatial Data
- Article/chapterEnglish2024
Publisher, publication year, extent ...
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2024
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:research.chalmers.se:e1916dff-2055-429d-b081-aded9a813473
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https://doi.org/10.3390/rs16111939DOI
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https://research.chalmers.se/publication/541644URI
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https://research.chalmers.se/publication/541420URI
Supplementary language notes
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Language:English
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Summary in:English
Part of subdatabase
Classification
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Subject category:art swepub-publicationtype
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Subject category:ref swepub-contenttype
Notes
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A key feature for urban digital twins (DTs) is an automatically generated detailed 3D representation of the built and unbuilt environment from aerial imagery, footprints, LiDAR, or a fusion of these. Such 3D models have applications in architecture, civil engineering, urban planning, construction, real estate, Geographical Information Systems (GIS), and many other areas. While the visualization of large-scale data in conjunction with the generated 3D models is often a recurring and resource-intensive task, an automated workflow is complex, requiring many steps to achieve a high-quality visualization. Methods for building reconstruction approaches have come a long way, from previously manual approaches to semi-automatic or automatic approaches. This paper aims to complement existing methods of 3D building generation. First, we present a literature review covering different options for procedural context generation and visualization methods, focusing on workflows and data pipelines. Next, we present a semi-automated workflow that extends the building reconstruction pipeline to include procedural context generation using Python and Unreal Engine. Finally, we propose a workflow for integrating various types of large-scale urban analysis data for visualization. We conclude with a series of challenges faced in achieving such pipelines and the limitations of the current approach. However, the steps for a complete, end-to-end solution involve further developing robust systems for building detection, rooftop recognition, and geometry generation and importing and visualizing data in the same 3D environment, highlighting a need for further research and development in this field.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
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Naserentin, Vasilis,1981Aristotelio Panepistimio Thessalonikis,Aristotle University of Thessaloniki,Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)vasnas
(author)
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Eleftheriou, Orfeas,1994Aristotelio Panepistimio Thessalonikis,Aristotle University of Thessaloniki,Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)orfeas
(author)
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Sjölie, Daniel,1977Högskolan Väst,University West,Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)sjolie
(author)
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Stahre Wästberg, Beata,1974Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)bea
(author)
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Logg, Anders,1976Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)logg
(author)
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Chalmers tekniska högskolaAristotelio Panepistimio Thessalonikis
(creator_code:org_t)
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In:Remote Sensing16:112072-4292
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