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2021 IEEE Radar Conference (RadarConf21)
Perception systems for autonomous vehicles are reliant on a comprehensive sensor suite to identify objects in the environment. While object recognition systems in the LiDAR and camera modalities are reaching maturity, recognition models on sparse radar point measurements have remained an open research challenge. An object recognition model is here presented which imposes a graph structure on the radar point-cloud by connecting spatially proximal points and extracts local patterns by performingdoi:10.1109/radarconf2147009.2021.9455172 fatcat:6thxt5wmezfqvcazqoq7i652zq