Abstract:<p>Radars have been increasingly implemented in modern vehicles. Their presence opens opportunities for developing new positioning and collision avoidance solutions, to cite a few. However, radar scans are noisy and sparse, which challenges the robustness of the developed solutions. In this paper, we propose a novel method to structure radar scans to create point descriptors. The structured data is used in convolutional neural networks that explore orthogonal views of the radar point cloud. Experimental … Show more
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