"<a href=""https://www.youtube.com/watch?v=ymcOLL2qEg8&amp;t=3m24s"">3:24</a> woha! No", this is incorrect. Yes, there is an "easy" part to mapping 3d environments for cars, especially if it the "static" environment is in any case the same one we have trained on, but the human mind can do more. It is much more "dynamical" ( I use his terms on purpose) in novel situations, and most life threatening situations are such problems: the problem of missing data, the problem of very little reaction time, the problem of objects being in novel places, trajectories, erroneous data, misinterpreted data, etc. The human mind has the advantage that the training data is not only restricted to driving cars, our insight comes from a far greater training data-set– and mimicking this neural network is far from easy. Yes, that'd be human level AI. Sure, Human level AI plus the immense computing power that we may expend will probably exceed human capability, but self driving cars in their limited form as we witness today is not comparable to the average human driver. Neither is it a simple problem.