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.
nuscenes: A multimodal dataset for autonomous driving
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1roles
dataset 1polarities
use dataset 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.