[skgoa]

In the context of automated driving, 'end-to-end' tends to mean that the net learns a transformation function that maps input images to steering wheel and pedal positions. In that sense, there is 'no human input' at any stage.

In contrast to this, every significant AD effort uses hand crafted parts for most of their pipeline. Machine learning is mostly used in the initial object detection and tracking steps.