> One is depth-from-defocus combined with "overlap" hierarchy information that can be used to build a depth-map. This is the technique Tesla talked about. Inter

> One is depth-from-defocus combined with "overlap" hierarchy information that can be used to build a depth-map. This is the technique Tesla talked about. Interestingly, instead of manually coding up this algorithm, they simply trained a neural net to do it! The trick was to use the radar data as the "ground truth", and train the NN to predict it based on the optical input. It works quite well, and there are videos floating about showing how a Tesla can build up an accurate 3D model of the world around it as it drives along. Wow, that scares the shit out of me. I hope this is not serious. How could they possibly understand the neural net and how it will behave under novel scenarios? This is the opposite of what you want in a safety critical system.