A neural network performs simultaneous static-moving segmentation and ego-motion estimation directly from raw radar point clouds using MLPs and RNNs.
Radar cfar thresholding in clutter and multiple target situations,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2025 2verdicts
UNVERDICTED 2representative citing papers
CaRLi-V fuses RADAR velocity cube, camera optical flow, and LiDAR ranges in a closed-form solution to produce dense point-wise 3D velocity estimates that outperform scene flow methods on a custom dataset.
citing papers explorer
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Redefining Radar Segmentation: Simultaneous Static-Moving Segmentation and Ego-Motion Estimation using Radar Point Clouds
A neural network performs simultaneous static-moving segmentation and ego-motion estimation directly from raw radar point clouds using MLPs and RNNs.
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CaRLi-V: Camera-RADAR-LiDAR Point-Wise 3D Velocity Estimation
CaRLi-V fuses RADAR velocity cube, camera optical flow, and LiDAR ranges in a closed-form solution to produce dense point-wise 3D velocity estimates that outperform scene flow methods on a custom dataset.