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This thesis aims to reproduce and improve a paper about dynamic road user detection on 2D bird's-eye-view radar point cloud in the context of autonomous driving. We choose RadarScenes, a recent large public dataset, to train and test deep neural networks. We adopt the two best approaches, the image-based object detector with grid mappings approach and the semantic segmentation-based clustering
