LiD2LOD: Generating LOD1 Urban Models from Airborne LiDAR

dc.contributor.authorSorgente, Tommasoen_US
dc.contributor.authorMoscoso Thompson, Eliaen_US
dc.contributor.authorRomanengo, Chiaraen_US
dc.contributor.editorComino Trinidad, Marcen_US
dc.contributor.editorMancinelli, Claudioen_US
dc.contributor.editorMaggioli, Filippoen_US
dc.contributor.editorRomanengo, Chiaraen_US
dc.contributor.editorCabiddu, Danielaen_US
dc.contributor.editorGiorgi, Danielaen_US
dc.date.accessioned2025-11-21T07:28:09Z
dc.date.available2025-11-21T07:28:09Z
dc.date.issued2025
dc.description.abstractThe increasing availability of large-scale airborne LiDAR (Light Detection And Ranging) data related to urban scenarios requires the development of methods for transforming raw point clouds into structured 3D urban representations. The ability to generate accurate representations starting from raw data meets fundamental requirements in the fields of urban visualization, interactive simulation, and digital twins, providing a solid foundation for graphics and immersive reality applications. In this work, we present LiD2LOD, a framework for the automatic generation of Level of Detail 1 (LOD1) city models from LiDAR point clouds. Our tool can create both semantic models according to the CityGML standard, suitable for geospatial data integration, and lightweight triangular meshes, optimized for visualization and rendering. We test our approach on point clouds that represent historical cities characterized by complex morphology, thereby proving its scalability and robustness.en_US
dc.description.sectionheadersGeometry Processing
dc.description.seriesinformationSmart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
dc.identifier.doi10.2312/stag.20251325
dc.identifier.isbn978-3-03868-296-7
dc.identifier.issn2617-4855
dc.identifier.pages9 pages
dc.identifier.urihttps://doi.org/10.2312/stag.20251325
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/stag20251325
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Applied computing → Computers in other domains; Human-centered computing → Visualization systems and tools; Computing methodologies → Mesh models
dc.subjectApplied computing → Computers in other domains
dc.subjectHuman centered computing → Visualization systems and tools
dc.subjectComputing methodologies → Mesh models
dc.titleLiD2LOD: Generating LOD1 Urban Models from Airborne LiDARen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
stag20251325.pdf
Size:
6.91 MB
Format:
Adobe Portable Document Format