When it comes to sensor fusion, you could say improving AEB performance is feasible.
But expecting to match visual and radar (lidar and radar) data within massive computing power is unrealistic. Vision has huge iterative potential, while radar itself is more like a reference or local data extraction. From a fusion perspective, there are a host of methodological issues to consider.
To achieve L4 autonomy, major iterative updates must focus on vision. Those clamoring for lidar clearly don't care how much vision algorithms have improved in recent years - has lidar algorithm made any comparable progress?
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