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There was an interesting academic research paper that showed you could train in GTA and transfer over to the KITTI dataset and do ok: https://arxiv.org/abs/1610.01983

That would be the Berkeley DeepDrive project. http://deepdrive.io/ and http://bdd.berkeley.edu/.

deepdrive.io creator here - I'm actually not affiliated with the Berkeley project of the same name. There's also a DeepDriving at Princeton plus plenty of other (mostly perception) projects using GTAV, so it can be confusing. I'm hoping the GTAV for self-driving car efforts can start to standardize around the Universe integration though. Having worked on it, I can say firsthand that the Universe architecture is definitely amenable to sending radar, lidar, controlling the camera, bounding boxes, segmentation, and other types of info that the various sub-fields of self-driving are interested in. Super-excited to see how people use it!

>spectacularly advanced drivint

gran tourismo is advanced, for a videogame at least

GTA is Grand Theft Auto, not Gran Turismo.

What is spectacularly advanced about the police ramming me off the road as they chase another suspect?

Least fun GTA player ever.