A flexible methodology for outdoor/indoor building reconstruction from occluded point clouds

23 citations as recorded by crossref.

1. Vectorized indoor surface reconstruction from 3D point cloud with multistep 2D optimization J. Han et al. https://doi.org/10.1016/j.isprsjprs.2021.04.019
2. Autonomous Point Cloud Acquisition of Unknown Indoor Scenes L. González-de Santos et al. https://doi.org/10.3390/ijgi7070250
3. New discretization method applied to NBV problem: Semioctree L. González-deSantos et al. https://doi.org/10.1371/journal.pone.0206259
4. Geometric comparison and quality evaluation of 3D models of indoor environments H. Tran et al. https://doi.org/10.1016/j.isprsjprs.2019.01.012
5. 3D Modeling of Building Indoor Spaces and Closed Doors from Imagery and Point Clouds L. Díaz-Vilariño et al. https://doi.org/10.3390/s150203491
6. Segmentation of point clouds via joint semantic and geometric features for 3D modeling of the built environment Y. Perez-Perez et al. https://doi.org/10.1016/j.autcon.2021.103584
7. Towards the Automatic Scanning of Indoors with Robots A. Adán et al. https://doi.org/10.3390/s150511551
8. Real-time collaborative reconstruction of digital building models with mobile devices S. Franz et al. https://doi.org/10.1016/j.aei.2018.08.012
9. ASPIRE: Automatic scanner position reconstruction G. Michailidis & R. Pajarola https://doi.org/10.1007/s00371-019-01711-9
10. Shape Grammar Approach to 3D Modeling of Indoor Environments Using Point Clouds H. Tran et al. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000800
11. RETRACTED: Research on Indoor Environment Design Based on VR Technology and Wireless Sensor Network N. Shan https://doi.org/10.1016/j.micpro.2021.103999
12. An Efficient Approach to Automatic Construction of 3D Watertight Geometry of Buildings Using Point Clouds Y. Cai & L. Fan https://doi.org/10.3390/rs13101947
13. Parametric point-cloud slicing for facade retrofitting O. Gámez Bohórquez et al. https://doi.org/10.1177/14780771211029747
14. Hybrid Method of Connection Evaluation and Framework Optimization for Building Surface Reconstruction Y. Li et al. https://doi.org/10.3390/rs16050792
15. Procedural Reconstruction of 3D Indoor Models from Lidar Data Using Reversible Jump Markov Chain Monte Carlo H. Tran & K. Khoshelham https://doi.org/10.3390/rs12050838
16. Generation of LOD4 models for buildings towards the automated 3D modeling of BIMs and digital twins B. Pantoja-Rosero et al. https://doi.org/10.1016/j.autcon.2024.105822
17. Point Cloud vs. Mesh Features for Building Interior Classification M. Bassier et al. https://doi.org/10.3390/rs12142224
18. From a Point Cloud to a Simulation Model—Bayesian Segmentation and Entropy Based Uncertainty Estimation for 3D Modelling C. Petschnigg et al. https://doi.org/10.3390/e23030301
19. Recent literature in cartography and geographic information science M. Finn & D. Thunen https://doi.org/10.1080/15230406.2015.1020025
20. Comparison of 2D and 3D wall reconstruction algorithms from point cloud data for as-built BIM M. Bassier et al. https://doi.org/10.36680/j.itcon.2020.011
21. Improved Boundary Identification of Stacked Objects with Sparse LiDAR Augmentation Scanning H. You et al. https://doi.org/10.1061/JCEMD4.COENG-13626
22. Classification of sensor independent point cloud data of building objects using random forests M. Bassier et al. https://doi.org/10.1016/j.jobe.2018.04.027
23. WITHDRAWN: 3D Design of Indoor Landscape Based on GIS System and Wireless Sensors Y. Jiang https://doi.org/10.1016/j.micpro.2020.103426