How over-fitted are their models to the cameras? I'd expect a layered architecture where a sensor layer does object-recognition and classification and then hands over this representation of the world to a higher-level planning model. You should have to retrain the whole stack for camera revisions - hell that's how it would work across car models with their different camera angles.