FugSeg achieves superior accuracy and speed in LiDAR ground segmentation by using polar grids, uncertainty-incorporating adaptive slopes, and explicit noise handling for isolated and occluded ground areas.
Reflective noise filtering of large-scale point cloud using multi-position lidar sensing data
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
FugSeg: Fast Uncertainty-aware Ground Segmentation for 3D Point Cloud
FugSeg achieves superior accuracy and speed in LiDAR ground segmentation by using polar grids, uncertainty-incorporating adaptive slopes, and explicit noise handling for isolated and occluded ground areas.