GENERATION OF MULTI-LOD 3D CITY MODELS IN CITYGML WITH THE PROCEDURAL MODELLING ENGINE RANDOM3DCITY

24 citations as recorded by crossref.

1. The City of Tomorrow from… the Data of Today G. Agugiaro et al. https://doi.org/10.3390/ijgi9090554
2. Inaccuracy of relative elevations on uavbased digital elevation models without precise reference information V. Zorina & A. Entin https://doi.org/10.24057/2071-9388-2024-3123
3. Layout graph model for semantic façade reconstruction using laser point clouds H. Fan et al. https://doi.org/10.1080/10095020.2021.1922316
4. Establishing Semantic 3D City Models by GRextADE: the Case of the Greece T. Liamis & A. Mimis https://doi.org/10.1007/s41651-022-00114-0
5. Setting intelligent city tiling strategies for urban shading simulations L. Romero Rodríguez et al. https://doi.org/10.1016/j.solener.2017.09.017
6. Regenerative Design of a Defined Urban Space Using CityGML Model E. Aboushal https://doi.org/10.1061/(ASCE)UP.1943-5444.0000723
7. An interoperable web-based application for 3d city modelling and analysis Z. Usta et al. https://doi.org/10.1007/s12145-023-01167-5
8. CityGML LOD1 Model Development and Disseminating Through Region Based OGC WFS Requests S. Abburu & S. Golla https://doi.org/10.4018/IJ3DIM.2018070101
9. Akıllı Şehir Uygulamaları İçin Prosedürel 3B Kent Modeli Oluşturulması ve Fotorealistik 3B Görselleştirme G. ŞENYURDUSEV & A. DOĞRU https://doi.org/10.48123/rsgis.950887
10. Tools for BIM-GIS Integration (IFC Georeferencing and Conversions): Results from the GeoBIM Benchmark 2019 F. Noardo et al. https://doi.org/10.3390/ijgi9090502
11. Reference study of CityGML software support: The GeoBIM benchmark 2019—Part II F. Noardo et al. https://doi.org/10.1111/tgis.12710
12. Simulating Large-Scale 3D Cadastral Dataset Using Procedural Modelling J. Tekavec et al. https://doi.org/10.3390/ijgi9100598
13. StructuredMesh: 3-D Structured Optimization of Façade Components on Photogrammetric Mesh Models Using Binary Integer Programming L. Wang et al. https://doi.org/10.1109/TGRS.2023.3348492
14. An Indoor Space Subspacing Framework for Implementing a 3D Hierarchical Network-Based Topological Data Model A. Claridades et al. https://doi.org/10.3390/ijgi11020076
15. The effect of acquisition error and level of detail on the accuracy of spatial analyses F. Biljecki et al. https://doi.org/10.1080/15230406.2017.1279986
16. Road and Building Reconstruction from 3D LiDAR Point Clouds: A Scoping Review N. Krishnakumar et al. https://doi.org/10.1007/s11831-026-10580-0
17. Comparing urban network morphologies: a new living metric and a framework for evaluating procedurally generated city layouts C. Dobbie & A. Johansson https://doi.org/10.1140/epjds/s13688-026-00694-7
18. The HBIM-GIS Main10ance Platform to Enhance the Maintenance and Conservation of Historical Built Heritage F. Matrone et al. https://doi.org/10.3390/s23198112
19. High-resolution impact assessment of climate change on building energy performance considering extreme weather events and microclimate – Investigating variations in indoor thermal comfort and degree-days M. Hosseini et al. https://doi.org/10.1016/j.scs.2021.103634
20. Relation-Constrained 3D Reconstruction of Buildings in Metropolitan Areas from Photogrammetric Point Clouds Y. Li & B. Wu https://doi.org/10.3390/rs13010129
21. Procedural city generation beyond game development J. Kim et al. https://doi.org/10.1145/3292390.3292397
22. Using 3D Rule-Based Modeling to Interactively Visualize “Complete Streets” Design Scenarios I. Bejleri et al. https://doi.org/10.1177/0361198121999051
23. A model-based approach to convert a building BIM-IFC data set model into CityGML K. Adouane et al. https://doi.org/10.1080/14498596.2019.1658650
24. A unified framework for 3D building surface reconstruction from fused LiDAR and photogrammetric data W. Mutiarasari et al. https://doi.org/10.1007/s12518-026-00748-5