Automotive Radar Object Classification [P]

Hello all, I'm a radar signal processing engineer and i trained a 5-class classifier (car, large_vehicle, two_wheeler, pedestrian, pedestrian_group) on RadarScenes radar point clouds. The input vector is a per-scan histogram (16 bins) and the network is a 3-layer MLP. The loss function is a class-weighted cross-entropy loss. This work is based on "Histogram-based Deep Learning for Automotive Radar" paper. I scoped the project to be one scan only. Accumulation of multiple scans is the next step. Data Class Imbalance: two-wheelers and large_vehicles has a low number of occurences. Aggregated Cla