Furthermore, they augmented the data with left/right-offset cameras to supplement the data with examples of "bad" camera views. This is not present on Tesla cars (because these sensors are only used for training purposes)

In fact, the paper actually supports my point. They collected all this data for one task, lane keeping. They subdivided the problem of autonomous driving, and managed to solve one small subproblem (the easiest subproblem of autonomous driving, solved for decades already). They avoided the need for annotators, but only because they used specialized purpose-built cameras to augment the data.