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.
Patchwork++: Fast and robust ground segmentation solving partial under-segmentation using 3d point cloud,
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SPL unifies unsupervised and sparsely-supervised 3D object detection via semantic pseudo-labeling that produces bounding boxes and point labels, followed by memory-based prototype learning that mines features from both labeled and unlabeled data.
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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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Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning
SPL unifies unsupervised and sparsely-supervised 3D object detection via semantic pseudo-labeling that produces bounding boxes and point labels, followed by memory-based prototype learning that mines features from both labeled and unlabeled data.