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. https://doi.org/10.1061/JSUED2.SUENG-1477
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3. Vo-Norvana : Versatile Framework for Efficient Segmentation of Large Point Cloud Data Sets E. Che & M. Olsen https://doi.org/10.1061/JCCEE5.CPENG-4979
4. Comparison of Virtual Curb Ramp Slope Assessment from Multiple Lidar Platforms C. Ogbeta et al. https://doi.org/10.1061/JSUED2.SUENG-1612
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6. A Terrain-Feature-Aware Multiscale PTD for Airborne LiDAR Ground Filtering W. Ni et al. https://doi.org/10.1109/JSTARS.2026.3688518
7. SlideSim: 3D Landslide Displacement Monitoring through a Physics-Based Simulation Approach to Self-Supervised Learning A. Senogles et al. https://doi.org/10.3390/rs14112644