Earlier quoted context omitted.
>Tesla is the only participant that has a true path to self driving technology. They dont even ship cars with Stereo front facing cameras. Eight cameras, twelve hypersonic sensors, one forward facing radar, GPS, and still no stereo vision resulting in cars plowing full speed into stationary obstacles ....
It's possible to extract depth information from a monocular lens. There's several ways to do this, and Tesla has talked publicly that they've implemented at least one approach. 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…
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.