Release Notes for Update 2022.8

Containing 2022.8.2, 2022.8.2.5, 2022.8.3, 2022.8.3.5, 2022.8.10.1, 2022.8.10.5, 2022.8.10.6, 2022.8.10.8, 2022.8.10.10, 2022.8.10.11

Update 2022.8.10.11

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Installed on 706 cars

Pending on 9 cars

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Full Self-Driving Beta 10.69.3.3

Version 2022.8.10.10
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Installed on 13 cars

Pending on 0 cars

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Full Self-Driving (Beta) Suspension

For maximum safety and accountability, use of Full Self-Driving (Beta) will be suspended if improper usage is detected. Improper usage is when you, or another driver of your vehicle, receive three
Forced Autopilot Disengagements.

A disengagement is when the Autopilot system disengages for the remainder of a trip after the driver receives several audio and visual warnings for inattentiveness. Driver-initiated disengagements do not count as improper usage and are expected from the driver. Keep your hands on the wheel and remain attentive at all times. Use of any hand-held devices while using Autopilot is not allowed.


Availability:

Available in United States


Models:

MCU1 S

MCU1 X

FSD Beta v10.69.3.3

- Upgraded the Object Detection network to photon count video streams and retrained all parameters with the latest autolabeled datasets (with a special emphasis on low visibility scenarios). Improved the architecture for better accuracy and latency, higher recall of far away vehicles, lower velocity error of crossing vehicles by 20%, and improved VRU precision by 20%.
- Converted the VRU Velocity network to a two-stage network, which reduced latency and improved crossing pedestrian velocity error by 6%.
- Converted the NonVRU Attributes network to a two-stage network, which reduced latency, reduced incorrect lane assignment of crossing vehicles by 45%, and reduced incorrect parked predictions by 15%.
- Reformulated the autoregressive Vector Lanes grammar to improve precision of lanes by 9.2%, recall of lanes by 18.7%, and recall of forks by 51.1%. Includes a full network update where all components were re-trained with 3.8x the amount of data.
- Added a new "road markings" module to the Vector Lanes neural network which improves lane topology error at intersections by 38.9%.
- Upgraded the Occupancy Network to align with road surface instead of ego for improved detection stability and improved recall at hill crest.
- Reduced runtime of candidate trajectory generation by approximately 80% and improved smoothness by distilling an expensive trajectory optimization procedure into a lightweight planner neural network.
- Improved decision making for short deadline lane changes around gores by richer modeling of the trade-off between going off-route vs trajectory required to drive through the gore region
- Reduced false slowdowns for pedestrians near crosswalk by using a better model for the kinematics of the pedestrian
- Added control for more precise object geometry as detected by general occupancy network.
- Improved control for vehicles cutting out of our desired path by better modeling of their turning / lateral maneuvers thus avoiding unnatural slowdowns
- Improved longitudinal control while offsetting around static obstacles by searching over feasible vehicle motion profiles
- Improved longitudinal control smoothness for in-lane vehicles during high relative velocity scenarios by also considering relative acceleration in the trajectory optimization
- Reduced best case object photon-to-control system latency by 26% through adaptive planner scheduling, restructuring of trajectory selection, and parallelizing perception compute. This allows us to make quicker decisions and improves reaction time.
- Introduced foundational support for model-parallel neural network inference by sharing intermediate tensors across SOCs to improve road edge and road line prediction consistency through changes to TRIP compiler, inference runtime, and inter-processor communication layer.
- Improved handling of traffic control behavior in dense intersection areas by improving the association logic between traffic lights and intersections.


Availability:

Available in United States


Models:

MCU1 S

MCU1 X

Minor Fixes

This release contains minor bug fixes and improvements.


Availability:

Available in United States


Models:

MCU1 S

MCU1 X

Update 2022.8.10.8

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Installed on 4 cars

Pending on 1 car

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Update 2022.8.10.6

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Installed on 3 cars

Pending on 0 cars

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Update 2022.8.10.5

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Installed on 2 cars

Pending on 0 cars

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Update 2022.8.10.1

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Installed on 1 car

Pending on 0 cars

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Update 2022.8.3.5

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Installed on 0 cars in 14 countries

Pending on 0 cars

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Update 2022.8.3

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Installed on 21 cars in 41 countries

Pending on 1 car

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Update 2022.8.2.5

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Installed on 6 cars in 31 countries

Pending on 0 cars

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Update 2022.8.2

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Installed on 41 cars in 40 countries

Pending on 0 cars

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New Language Support

Your touchscreen is now available in Czech. To switch your language setting, tap Controls > Display > Touchscreen Language.


Availability:

Available in United States


Active Phone Calls

You can now hide your phone call card, allowing you to see the next turn when the navigation turn list is covered. Tap the phone icon on the status bar to show the card again.


Availability:

Available in United States


Vehicle Preconditioning

Vehicle preconditioning accessed via the Tesla app will now remain active up to 30 minutes after a door is opened, making it easier to load your vehicle without affecting climate control.


Availability:

Available in United States


Charging Time Estimation

Estimated charging times are now more accurate by taking the current battery pack temperature into account when a vehicle is connected to a Supercharger, or a third-party fast charger.


Availability:

Available in United States