GRAMMAR-SUPPORTED 3D INDOOR RECONSTRUCTION FROM POINT CLOUDS FOR “AS-BUILT” BIM

24 citations as recorded by crossref.

1. Digital Asset in the System of Real Estate Management N. Bolshakov et al. https://doi.org/10.1051/e3sconf/202126304039
2. Informative Models for Architectural Heritage M. Attenni https://doi.org/10.3390/heritage2030125
3. 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
4. ComNSense M. Abdelaal et al. https://doi.org/10.1145/3191733
5. Estimation of 3D Indoor Models with Constraint Propagation and Stochastic Reasoning in the Absence of Indoor Measurements S. Loch-Dehbi et al. https://doi.org/10.3390/ijgi6030090
6. A cross-correction LiDAR SLAM method for high-accuracy 2D mapping of problematic scenario S. Jia et al. https://doi.org/10.1016/j.isprsjprs.2020.11.004
7. Can Computational Linguistics Be Used for Wi-Fi-Based Tracking System? Y. Li et al. https://doi.org/10.1109/JSEN.2024.3490604
8. 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
9. Topology Reconstruction of BIM Wall Objects from Point Cloud Data M. Bassier & M. Vergauwen https://doi.org/10.3390/rs12111800
10. The Polygonal 3D Layout Reconstruction of an Indoor Environment via Voxel-Based Room Segmentation and Space Partition F. Yang et al. https://doi.org/10.3390/ijgi11100530
11. Room semantics inference using random forest and relational graph convolutional networks: A case study of research building X. Hu et al. https://doi.org/10.1111/tgis.12664
12. Semantic Interpretation of Mobile Laser Scanner Point Clouds in Indoor Scenes Using Trajectories S. Nikoohemat et al. https://doi.org/10.3390/rs10111754
13. Geometry and Topology Reconstruction of BIM Wall Objects from Photogrammetric Meshes and Laser Point Clouds F. Yang et al. https://doi.org/10.3390/rs15112856
14. Feasibility of Using Grammars to Infer Room Semantics X. Hu et al. https://doi.org/10.3390/rs11131535
15. Topologically Consistent Reconstruction for Complex Indoor Structures from Point Clouds M. Ai et al. https://doi.org/10.3390/rs13193844
16. Deep Learning for 3D Reconstruction, Augmentation, and Registration: A Review Paper P. Vinodkumar et al. https://doi.org/10.3390/e26030235
17. Automated 3D volumetric reconstruction of multiple-room building interiors for as-built BIM J. Jung et al. https://doi.org/10.1016/j.aei.2018.10.007
18. 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
19. Semantic decomposition and recognition of indoor spaces with structural constraints for 3D indoor modelling F. Yang et al. https://doi.org/10.1016/j.autcon.2019.102913
20. 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
21. Fast and Automatic Reconstruction of Semantically Rich 3D Indoor Maps from Low-quality RGB-D Sequences S. Tang et al. https://doi.org/10.3390/s19030533
22. Consistency grammar for 3D indoor model checking S. Nikoohemat et al. https://doi.org/10.1111/tgis.12686
23. 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
24. Evaluating confidence in geometric matching between 3D point clouds and BIM models by integrating coverage, distance, and distribution metrics A. Ersöz & F. Bosché https://doi.org/10.1016/j.autcon.2025.106636