Axel Acosta

Graph Neural Networks for Object Type Classification Based on Automotive Radar Point Clouds and Spectra

Object type classification (OTC) is an integral part of automotive radar perception. In this work, we propose graph neural networks (GNN) for radar OTC, which jointly process the radar reflection list and spectra. Combining the full set of features available in reflections and rich object representa…