Event-based radar perception processing

We consider the problem of the large amount of data produced by current radar systems, particularly Frequency Modulated Continuous Wave (FMCW) radars, with the goal of minimizing latency and memory usage in signal processing pipelines for edge-based applications. Drawing inspiration from event-based cameras, we propose a novel event-based radar perception method that utilizes only two single snapshots to achieve performance levels suitable for current radar applications. After mathematically deriving the approach, we validate its effectiveness through both simulations and real-world experiments involving multiple targets.