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Search: AMNE:(NATURVETENSKAP Data- och informationsvetenskap Datorseende och robotik) > (2020-2024) > Towards Urban Digit...

  • 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 ...

  • 2024
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:research.chalmers.se:e1916dff-2055-429d-b081-aded9a813473
  • https://doi.org/10.3390/rs16111939DOI
  • https://research.chalmers.se/publication/541644URI
  • https://research.chalmers.se/publication/541420URI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • 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 ...)

  • Naserentin, Vasilis,1981Aristotelio Panepistimio Thessalonikis,Aristotle University of Thessaloniki,Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)vasnas (author)
  • Eleftheriou, Orfeas,1994Aristotelio Panepistimio Thessalonikis,Aristotle University of Thessaloniki,Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)orfeas (author)
  • Sjölie, Daniel,1977Högskolan Väst,University West,Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)sjolie (author)
  • Stahre Wästberg, Beata,1974Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)bea (author)
  • Logg, Anders,1976Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)logg (author)
  • Chalmers tekniska högskolaAristotelio Panepistimio Thessalonikis (creator_code:org_t)

Related titles

  • In:Remote Sensing16:112072-4292

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