A rotating mmWave radar system for agricultural UAVs achieves 94.42 F1 score in ground segmentation and better terrain coverage than fixed-view rivals in real farmland experiments.
Groundgrid: Lidar point cloud ground segmentation and terrain estimation
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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.
citing papers explorer
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Terrain Perception for Agricultural UAVs in Complex Farmland via Rotating mmWave Radar
A rotating mmWave radar system for agricultural UAVs achieves 94.42 F1 score in ground segmentation and better terrain coverage than fixed-view rivals in real farmland experiments.
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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.