INTEGRATION OF 3D POINT CLOUDS WITH SEMANTIC 3D CITY MODELS – PROVIDING SEMANTIC INFORMATION BEYOND CLASSIFICATION

8 citations as recorded by crossref.

1. OSMsc: a framework for semantic 3D city modeling using OpenStreetMap R. Ma et al. 10.1080/13658816.2023.2266824
2. Low-Cost Data, High-Quality Models: A Semi-Automated Approach to LOD3 Creation . Harshit et al. 10.3390/ijgi13040119
3. Scan to BIM Mapping Process Description for Building Representation in 3D GIS T. Kang 10.3390/app13179986
4. 3D LoD2 and LoD3 Modeling of Buildings with Ornamental Towers and Turrets Based on LiDAR Data E. Lewandowicz et al. 10.3390/rs14194687
5. A Prior Level Fusion Approach for the Semantic Segmentation of 3D Point Clouds Using Deep Learning Z. Ballouch et al. 10.3390/rs14143415
6. Refinement of semantic 3D building models by reconstructing underpasses from MLS point clouds O. Wysocki et al. 10.1016/j.jag.2022.102841
7. Geometric-based approach for linking various building measurement data to a 3D city model Y. Ogawa et al. 10.1371/journal.pone.0296445
8. Automated traffic sign change detection using low-cost LiDAR scans and unsupervised machine learning A. Khataan & S. Gargoum 10.1080/01431161.2024.2365813