VO-SMOG: A VERSATILE, SMOOTH SEGMENT-BASED GROUND FILTER FOR POINT CLOUDS VIA MULTI-SCALE VOXELIZATION

7 citations as recorded by crossref.

1. Virtual ADA Compliance Assessment: Mimicking Digital Inclinometers to Measure Slopes within Point Clouds Y. Zhou et al.
2. Investigating the Impact of Training Data Set Selection for Pole-Like Object Classification in Mobile Laser Scanning Data K. Kenney & E. Che
3. Vo-Norvana : Versatile Framework for Efficient Segmentation of Large Point Cloud Data Sets E. Che & M. Olsen
4. Comparison of Virtual Curb Ramp Slope Assessment from Multiple Lidar Platforms C. Ogbeta et al.
5. Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey N. Qin et al.
6. A Terrain-Feature-Aware Multiscale PTD for Airborne LiDAR Ground Filtering W. Ni et al.
7. SlideSim: 3D Landslide Displacement Monitoring through a Physics-Based Simulation Approach to Self-Supervised Learning A. Senogles et al.