THE ISPRS BENCHMARK ON INDOOR MODELLING

42 citations as recorded by crossref.

1. Generation of Structural Components for Indoor Spaces from Point Clouds J. Lee et al. 10.3390/s25103012
2. Automatic extraction and reconstruction of a 3D wireframe of an indoor scene from semantic point clouds J. Wei et al. 10.1080/17538947.2023.2246937
3. BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images D. Acharya et al. 10.1016/j.isprsjprs.2019.02.020
4. VOX2BIM+ - A Fast and Robust Approach for Automated Indoor Point Cloud Segmentation and Building Model Generation J. Martens & J. Blankenbach 10.1007/s41064-023-00243-1
5. A Recurrent Deep Network for Estimating the Pose of Real Indoor Images from Synthetic Image Sequences D. Acharya et al. 10.3390/s20195492
6. Reconstruction of Three-Dimensional (3D) Indoor Interiors with Multiple Stories via Comprehensive Segmentation L. Li et al. 10.3390/rs10081281
7. Automatic structural mapping and semantic optimization from indoor point clouds H. Wu et al. 10.1016/j.autcon.2020.103460
8. Exploiting BIM Objects for Synthetic Data Generation toward Indoor Point Cloud Classification Using Deep Learning E. Frías et al. 10.1061/(ASCE)CP.1943-5487.0001039
9. Indoor cartography J. Chen & K. Clarke 10.1080/15230406.2019.1619482
10. Boundary-Aware Supervoxel Segmentation for Indoor 3D Point Clouds F. Su et al. 10.1109/ACCESS.2023.3293538
11. A Review of Techniques for 3D Reconstruction of Indoor Environments Z. Kang et al. 10.3390/ijgi9050330
12. Repairing geometric errors in 3D urban models with kinetic data structures M. Yu et al. 10.1016/j.isprsjprs.2022.08.001
13. Procedural Reconstruction of 3D Indoor Models from Lidar Data Using Reversible Jump Markov Chain Monte Carlo H. Tran & K. Khoshelham 10.3390/rs12050838
14. Floorplan generation from 3D point clouds: A space partitioning approach H. Fang et al. 10.1016/j.isprsjprs.2021.02.012
15. Indoor Map Boundary Correction Based on Normalized Total Least Squares of Condition Equation H. Wu et al. 10.1061/(ASCE)SU.1943-5428.0000359
16. Obstacle-Aware Indoor Pathfinding Using Point Clouds L. Díaz-Vilariño et al. 10.3390/ijgi8050233
17. Automatic 3-D Reconstruction of Indoor Environment With Mobile Laser Scanning Point Clouds Y. Cui et al. 10.1109/JSTARS.2019.2918937
18. Pose Normalization of Indoor Mapping Datasets Partially Compliant with the Manhattan World Assumption P. Hübner et al. 10.3390/rs13234765
19. Volumetric Representation and Sphere Packing of Indoor Space for Three-Dimensional Room Segmentation F. Yang et al. 10.3390/ijgi10110739
20. Infrastructure-Independent Indoor Localization and Navigation S. Winter et al. 10.1145/3321516
21. Space Subdivision in Indoor Mobile Laser Scanning Point Clouds Based on Scanline Analysis Y. Zheng et al. 10.3390/s18061838
22. Automatic Reconstruction of Multi-Level Indoor Spaces from Point Cloud and Trajectory G. Lim & N. Doh 10.3390/s21103493
23. Geometric comparison and quality evaluation of 3D models of indoor environments H. Tran et al. 10.1016/j.isprsjprs.2019.01.012
24. Reconstructing Geometrical Models of Indoor Environments Based on Point Clouds M. Kellner et al. 10.3390/rs15184421
25. Compact and indexed representation for LiDAR point clouds S. Ladra et al. 10.1080/10095020.2022.2121664
26. Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes P. Hübner et al. 10.1016/j.isprsjprs.2021.07.002
27. Efficient 3D Mapping and Modelling of Indoor Scenes with the Microsoft HoloLens: A Survey M. Weinmann et al. 10.1007/s41064-021-00163-y
28. Use of BIM data as input and output for improved detection of lighting elements in buildings F. Troncoso-Pastoriza et al. 10.1016/j.autcon.2019.102852
29. Space Subdivision of Indoor Mobile Laser Scanning Data Based on the Scanner Trajectory A. Elseicy et al. 10.3390/rs10111815
30. Structural 3D Reconstruction of Indoor Space for 5G Signal Simulation with Mobile Laser Scanning Point Clouds Y. Cui et al. 10.3390/rs11192262
31. Semantic line framework-based indoor building modeling using backpacked laser scanning point cloud C. Wang et al. 10.1016/j.isprsjprs.2018.03.025
32. Shape Grammar Approach to 3D Modeling of Indoor Environments Using Point Clouds H. Tran et al. 10.1061/(ASCE)CP.1943-5487.0000800
33. Room Partitioning in Complex Environments by Supervoxel Segmentation and Anchor Pixel Linking F. Li et al. 10.1109/JSTARS.2025.3586490
34. Geometry and Topology Preservable Line Structure Construction for Indoor Point Cloud Based on the Encoding and Extracting Framework H. Lyu et al. 10.3390/rs17173033
35. COMPARISON OF DEEP LEARNING TECHNIQUES FOR DETECTION OF DOORS IN INDOOR ENVIRONMENTS B. KALECİ & K. TURGUT 10.31796/ogummf.889095
36. Modeling of Architectural Components for Large-Scale Indoor Spaces From Point Cloud Measurements G. Lim et al. 10.1109/LRA.2020.2976327
37. Construction and Maintenance of Building Geometric Digital Twins: State of the Art Review V. Drobnyi et al. 10.3390/s23094382
38. Indoor Building Reconstruction from Occluded Point Clouds Using Graph-Cut and Ray-Tracing M. Previtali et al. 10.3390/app8091529
39. An Efficient Plane-Segmentation Method for Indoor Point Clouds Based on Countability of Saliency Directions X. Ge et al. 10.3390/ijgi11040247
40. Integration of Constructive Solid Geometry and Boundary Representation (CSG-BRep) for 3D Modeling of Underground Cable Wells from Point Clouds M. Huang et al. 10.3390/rs12091452
41. The Polygonal 3D Layout Reconstruction of an Indoor Environment via Voxel-Based Room Segmentation and Space Partition F. Yang et al. 10.3390/ijgi11100530
42. Semantic decomposition and recognition of indoor spaces with structural constraints for 3D indoor modelling F. Yang et al. 10.1016/j.autcon.2019.102913