ROBUST CLASSIFICATION AND SEGMENTATION OF PLANAR AND LINEAR FEATURES FOR CONSTRUCTION SITE PROGRESS MONITORING AND STRUCTURAL DIMENSION COMPLIANCE CONTROL

10 citations as recorded by crossref.

1. Multi-scan segmentation of terrestrial laser scanning data based on normal variation analysis E. Che & M. Olsen 10.1016/j.isprsjprs.2018.01.019
2. Automatic Recognition of Common Structural Elements from Point Clouds for Automated Progress Monitoring and Dimensional Quality Control in Reinforced Concrete Construction R. Maalek et al. 10.3390/rs11091102
3. Comparative analysis of RCC and PT Slabs underneath Lateral Loading: A Structural study using ETABS K. Dhamija et al. 10.1051/e3sconf/202455201140
4. Robust Segmentation of Planar and Linear Features of Terrestrial Laser Scanner Point Clouds Acquired from Construction Sites R. Maalek et al. 10.3390/s18030819
5. Geometric Primitives in LiDAR Point Clouds: A Review S. Xia et al. 10.1109/JSTARS.2020.2969119
6. Sat4BIM4D — the concept of using satellite remote sensing to monitor construction progress in conjunction with BIM S. Glinka 10.2478/rgg-2024-0023
7. Automatic building footprint extraction from photogrammetric and LiDAR point clouds using a novel improved-Octree approach B. Karsli et al. 10.1016/j.jobe.2023.108281
8. An Analysis of Potential Uses, Limitations and Barriers to Implementation of 3D Scan Data for Construction Management-Related Use—Are the Industry and the Technical Solutions Mature Enough for Adoption? M. Mihić et al. 10.3390/buildings13051184
9. Acquisition and Consecutive Registration of Photogrammetric Point Clouds for Construction Progress Monitoring Using a 4D BIM S. Tuttas et al. 10.1007/s41064-016-0002-z
10. Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review R. Panah & M. Kioumarsi 10.3390/s21030837