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What is Deep Learning Radar Object Classification about?

This paper presents a novel deep learning method called DEEP REFLECS for classifying object types using radar reflections. DEEP REFLECS uses a neural network to classify objects like pedestrians, cyclists, cars, or non-obstacles based on radar reflection data including range, radial velocity, radar cross section, and azimuth angle. The proposed network handles varying numbers of radar reflections as input and outperforms existing methods. The authors demonstrate its performance on a real-world dataset and c

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