PROPOSAL FOR A NEW LOD AND MULTI-REPRESENTATION CONCEPT FOR CITYGML

27 citations as recorded by crossref.

1. Possible contributions of spatial semantic methods and technologies to multi-representation spatial database paradigm A. MEMDUHOGLU & M. BASARANER 10.26833/ijeg.413473
2. Urban Building Updates Monitoring Based on Sky Visibility Estimation From Satellite Signals H. Xu et al. 10.1109/JIOT.2024.3434684
3. CityGML Application Domain Extension (ADE): overview of developments F. Biljecki et al. 10.1186/s40965-018-0055-6
4. A Full Level-of-Detail Specification for 3D Building Models Combining Indoor and Outdoor Scenes L. Tang et al. 10.3390/ijgi7110419
5. An application-driven LOD modeling paradigm for 3D building models L. Tang et al. 10.1016/j.isprsjprs.2020.01.019
6. Indoor cartography J. Chen & K. Clarke 10.1080/15230406.2019.1619482
7. 3D building interior modelling for navigation in emergency response applications P. Boguslawski et al. 10.1016/j.jag.2022.103066
8. Extending CityGML for IFC-sourced 3D city models F. Biljecki et al. 10.1016/j.autcon.2020.103440
9. Detailed Streetspace Modelling for Multiple Applications: Discussions on the Proposed CityGML 3.0 Transportation Model C. Beil et al. 10.3390/ijgi9100603
10. A Simplified CityGML-Based 3D Indoor Space Model for Indoor Applications Q. Sun et al. 10.3390/app10207218
11. Reference study of CityGML software support: The GeoBIM benchmark 2019—Part II F. Noardo et al. 10.1111/tgis.12710
12. Simplification of geometric objects in an indoor space J. Kim & K. Li 10.1016/j.isprsjprs.2018.11.017
13. Compactly representing massive terrain models as TINs in CityGML K. Kumar et al. 10.1111/tgis.12456
14. Using a game engine to visualize the Main Building of the Warsaw University of Technology in a mobile application J. Marciniak & H. Janicki 10.2478/pcr-2020-0006
15. Achieving Complete and Near-Lossless Conversion from IFC to CityGML R. Stouffs et al. 10.3390/ijgi7090355
16. Towards an integrated urban development considering novel intelligent transportation systems A. Richter et al. 10.1016/j.techfore.2020.119970
17. The Energy Application Domain Extension for CityGML: enhancing interoperability for urban energy simulations G. Agugiaro et al. 10.1186/s40965-018-0042-y
18. CityJSON: a compact and easy-to-use encoding of the CityGML data model H. Ledoux et al. 10.1186/s40965-019-0064-0
19. CityGML 3.0: New Functions Open Up New Applications T. Kutzner et al. 10.1007/s41064-020-00095-z
20. 3DLEB-Net: Label-Efficient Deep Learning-Based Semantic Segmentation of Building Point Clouds at LoD3 Level Y. Cao & M. Scaioni 10.3390/app11198996
21. Digital geoTwin Vienna: Towards a Digital Twin City as Geodata Hub H. Lehner & L. Dorffner 10.1007/s41064-020-00101-4
22. The LandInfra standard and its role in solving the BIM-GIS quagmire K. Kumar et al. 10.1186/s40965-019-0065-z
23. CityGML in the Integration of BIM and the GIS: Challenges and Opportunities Y. Tan et al. 10.3390/buildings13071758
24. Evaluating the geometric aspects of integrating BIM data into city models J. Sun et al. 10.1080/14498596.2019.1636722
25. Geospatial Artificial Intelligence: Potentials of Machine Learning for 3D Point Clouds and Geospatial Digital Twins J. Döllner 10.1007/s41064-020-00102-3
26. Building 3D CityGML models of mining industrial structures using integrated UAV and TLS point clouds C. Van et al. 10.1007/s40789-023-00645-x
27. A New Level of Detail Concept for Building Indoor Scene Y. Pang et al. 10.1088/1755-1315/502/1/012020