A neural network performs simultaneous static-moving segmentation and ego-motion estimation directly from raw radar point clouds using MLPs and RNNs.
Mask-radarnet: Enhancing transformer with spatial- temporal semantic context for radar object detection in autonomous driving,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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eess.SP 2years
2025 2verdicts
UNVERDICTED 2representative citing papers
mRadNet improves state-of-the-art radar object detection on the CRUW dataset while using the fewest parameters and lowest FLOPs among compared models.
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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mRadNet: A Compact Radar Object Detector with MetaFormer
mRadNet improves state-of-the-art radar object detection on the CRUW dataset while using the fewest parameters and lowest FLOPs among compared models.