Aggiornamento software Tesla 2022.16.3.5 (FSD Beta 10.13) (Note di rilascio ufficiali)

- Improved decision making for unprotected left turns using better estimation of ego's interaction with other objects through the maneuver.

- Improved stopping pose while yielding for crossing objects at "Chuck Cook style" unprotected left turns by utilizing the median safety regions.

- Made speed profile more comfortable when creeping for visibility, to allow for smoother stops when protecting for potentially occluded objects.

- Enabled creeping for visibility at any intersection where objects might cross ego's path, regardless of presence of traffic controls.

- Improved lane position error by 5% and lane recall by 12% with a [illegible]

- Improved lane position error of crossing and merging lanes by 22% by adding long-range skip connections and a more powerful trunk to the network architecture.

- Improved pedestrian and bicyclist velocity error by 17%, especially when ego is making a turn, by improving the onboard trajectory estimation used as input to the neural network.

- Improved animal detection recall by 34% and decreased false positives by 8% by doubling the size of the auto-labeled training set.

- Improved detection recall of far away crossing vehicles by 4% by tuning the loss function used during training and improving label quality.

- Improved the "is parked" attribute for vehicles by 5% by adding 20% more examples to the training set.

- Upgraded the occupancy network to detect dynamic objects and improved performance by adding a video module, tuning the loss function, and adding 37k new clips to the training set.

- Reduced false slowdowns around crosswalks by better classification of pedestrians and bicyclists as not intending to interact with ego.

- Reduced false lane changes for cones or blockages by preferring gentle offsetting in-lane where appropriate.

- Improved in-lane positioning on wide residential roads.