Release Date: 24th October 2021
Models: All models with FSD Beta
Regions: USA Only
Although not directly FSD Beta, Autopark now identifies perpendicular parking spots using painted markings and road edges.
Driver profiles have also been added in FSD to help store behavior that each driver may want to set differently.
Tesla has also been working on detecting vehicle lights to help get more context for things like braking and emergency vehicles.
- Added FSD Profiles that allow drivers to control behaviors like rolling stops, exiting passing lanes, speed-based lane changes, following distance and yellow light headway.
- Added planning capability to drive along oncoming lanes to maneuver around path blockage.
- Improved creeping speed by linking speed to visibility network estimation and distance to encroachment point of crossing lanes.
- Improved crossing object velocity estimation by 20% and yaw estimation by 25% by upreving surround video vehicle network with more data. Also increased system frame rate by +1.7 frames per second.
- Improved vehicle semantic detections (e.g. brake lights, turn indicators, hazards) by adding +25k video clips to the training data set.
- Improved static obstacle control by upreving the generalized static object network with 6k more video clips (+5.6% precision, +2.5% recall).
- Allowed more acceleration when merging from on-ramps onto major roads and when lane changing from slow to fast lanes.
- Reduced false slowdowns and improved offsetting for pedestrians by improving the model of interaction between pedestrians and the static world.
- Improved turning profile for unprotected turns by allowing ego to cross over lane lines more naturally, when safe to do so.
- Improved speed profile for boosting onto high speed roads by enforcing stricter longitudinal and lateral acceleration limits required to beat the crossing object.