AN EVALUATION FRAMEWORK FOR BENCHMARKING INDOOR MODELLING METHODS

7 citations as recorded by crossref.

1. Geometry and Topology Preservable Line Structure Construction for Indoor Point Cloud Based on the Encoding and Extracting Framework H. Lyu et al. https://doi.org/10.3390/rs17173033
2. 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
3. Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes P. Hübner et al. https://doi.org/10.1016/j.isprsjprs.2021.07.002
4. RANSAC for Robotic Applications: A Survey J. Martínez-Otzeta et al. https://doi.org/10.3390/s23010327
5. Geometric accuracy and semantic richness in heritage BIM: A review M. Radanovic et al. https://doi.org/10.1016/j.daach.2020.e00166
6. Automatic 3-D Reconstruction of Indoor Environment With Mobile Laser Scanning Point Clouds Y. Cui et al. https://doi.org/10.1109/JSTARS.2019.2918937
7. Integration of Constructive Solid Geometry and Boundary Representation (CSG-BRep) for 3D Modeling of Underground Cable Wells from Point Clouds M. Huang et al. https://doi.org/10.3390/rs12091452