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ADAS perception stacks: why sensor fusion fails first

How does an advanced driver assistance system get from raw sensor data to a brake command in about 100 milliseconds, and which stage of that chain actually breaks? The position here is that object classification gets the attention while sensor fusion and training data carry the real risk. A system can label a scene beautifully and still arbitrate a camera and radar conflict badly, which is how a car reads a white truck against a bright sky as open road. You come away able to describe each stage of the pipeline, explain why cameras, radar and lidar are blind in different ways, read vendor…

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