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RadSegNet: A Reliable Approach to Radar Camera Fusion
Contrary to these approaches, we propose a new method, RadSegNet, that uses a new design philosophy of independent information extraction and truly achieves reliability in all conditions, including occlusions and adverse weather.
Pointillism: Accurate 3D bounding box estimation with multi-radars
We introduce a novel concept of Cross Potential Point Clouds, which uses the spatial diversity induced by multiple radars and solves the problem of noise and sparsity in radar point clouds.
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