AUTOMATIC GENERATION OF INDOOR NAVIGABLE SPACE USING A POINT CLOUD AND ITS SCANNER TRAJECTORY

9 citations as recorded by crossref.

1. 3D Indoor Environment Abstraction for Crowd Simulations in Complex Buildings M. Aleksandrov et al. 10.3390/buildings11100445
2. A fine-grained navigation network construction method for urban environments X. Lou et al. 10.1016/j.jag.2022.102994
3. A Modified Methodology for Generating Indoor Navigation Models E. Lewandowicz et al. 10.3390/ijgi8020060
4. Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes P. Hübner et al. 10.1016/j.isprsjprs.2021.07.002
5. Semantics-guided reconstruction of indoor navigation elements from 3D colorized points J. Yang et al. 10.1016/j.isprsjprs.2021.01.013
6. Detection of doors in a voxel model, derived from a point cloud and its scanner trajectory, to improve the segmentation of the walkable space B. Staats et al. 10.1080/12265934.2018.1553685
7. Obstacle-Aware Indoor Pathfinding Using Point Clouds L. Díaz-Vilariño et al. 10.3390/ijgi8050233
8. Reconstruction of Three-Dimensional (3D) Indoor Interiors with Multiple Stories via Comprehensive Segmentation L. Li et al. 10.3390/rs10081281
9. Indoor 3D reconstruction from point clouds for optimal routing in complex buildings to support disaster management S. Nikoohemat et al. 10.1016/j.autcon.2020.103109