There's a couple companies in the business of using a 3d simulation for training autonomous cars like Waymo, Cruise, Nvidia, and Applied Intuition. I don't quite understand their product though.
1. Are the trained object detectors in the simulation applied to real world data also or is only the part that makes decisions transferred to the real vehicle (e.g. it's safe to turn left here) while detectors trained on real world images of cars, people, etc. used?
2. Tangentially, I thought that in general detectors trained on computer generated images was not very applicable to real world images. eg training on a bunch of images of 3d modeled humans won't work well with testing on pictures of real humans. Is this not true?
