It seems to estimate the surroundings pretty well in the new version, but the path planner still has issues. I'm not sure if they already do this, but I think Tesla should run FSD on all cars in shadow mode, and then use the FSD vector data and driver actions to train the path planner. Basically using FSD vector data as input and driver actions as output of the neural net. If the network can't reach confidence in cer…
If this has been the case, evidence here is certainly lacking. Turning down a street one presumably hasn't seen a car drive down in this direction? Failing basic stationary obstacle avoidance because they're in the center of the road? Screwing up basic turn lane behavior?
Either they aren't taking the "years of learning" data into account, or, worse, they are - and even with all that correction, it's still this bad.