Tesla does not have the world's experts in visual SLAM. Those people are in academia, or at Google/Microsoft. The 100k car/driver thing is a red herring. Steer

Tesla does not have the world's experts in visual SLAM. Those people are in academia, or at Google/Microsoft. The 100k car/driver thing is a red herring. Steering angle / brake / acceleration info is not the kind of data you need for this task. Big useless data is still useless data, even if it's big. The right kind of data, if this is to be treated as an ML problem, is a 3D model of the environment (this would be the label), along with camera data (this would be the data). Ironically you need LIDAR to get those labels. It bears noting that the state of the art in visual SLAM is not ML based (it's really difficult to get the "ML" problem I just described to actually work - and it's not for lack of data, Google probably has petabytes of this data from their cars).