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.
Agrilira4d: A multi-sensor uav dataset for robust slam in challenging agricultural fields
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A self-contained derivation unifies geometric modeling and probabilistic estimation for LiDAR-Inertial Odometry with VoxelMap representation.
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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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On the Derivation of Tightly-Coupled LiDAR-Inertial Odometry with VoxelMap
A self-contained derivation unifies geometric modeling and probabilistic estimation for LiDAR-Inertial Odometry with VoxelMap representation.