Release Notes

Full Self-Driving Beta v10.11

– Upgraded modeling of lane geometry from dense rasters (“bag of points”) to an autoregressive decoder that directly predicts and connects “vector space” lanes point by point using a transformer neural network. This enables us to predict crossing lanes, allows computationally cheaper and less error-prone post-processing, and paves the way for predicting many other signals and their relationships jointly and end-to-end.

– Use more accurate predictions of where vehicles are turning or merging to reduce unnecessary slowdowns for vehicles that will not cross our path.

– Improved right-of-way understanding if the map is inaccurate or the car cannot follow the navigation. In particular, modeling intersection extents is now entirely based on network predictions and no longer uses map-based heuristics.

– Improved the precision of VRU detections by 44.9%, dramatically reducing spurious false positive pedestrians and bicycles (especially around tar seams, skid marks, and rain drops). This was accomplished by increasing the data size of the next-gen auto-labeler, training network parameters that were previously frozen, and modifying the network loss functions. We find that this decreases the incidence of VRU-related false slowdowns.

– Reduced the predicted velocity error of very close-by motorcycles, scooters, wheelchairs, and pedestrians by 63.6%. To do this, we introduced a new dataset of simulated adversarial high-speed VRU interactions. This update improves autopilot control around fast-moving and cutting-in VRUs.

– Improved creeping profile with higher jerk when creeping starts.

– Improved control for nearby obstacles by predicting continuous distance to static geometry with the general static obstacle network.

– Reduced vehicle “parked” attribute error rate by 17%, achieved by increasing the dataset size by 14%.

– Improved clear-to-go scenario velocity error by 5% and highway scenario velocity error by 10%, achieved by tuning loss function targeted at improving performance in difficult scenarios.

– Improved detection and control for open car doors.

– Improved smoothness through turns by using an optimization-based approach to decide which road lines are irrelevant for control given lateral and longitudinal acceleration and jerk limits as well as vehicle kinematics.

– Improved stability of the FSD Ul visualizations by optimizing the ethernet data transfer pipeline by 15%.

Detailed Breakdown

Models

The number of vehicles that received this update, grouped by model.

Model S 7
Legacy 4
Refresh 3
Model 3 13
Model X 1
Legacy 1
Refresh 0
Model Y 11

Countries

The number of vehicles in each country that received this update.

United States 32

Previous Update

The number of vehicles that originated from a specific update.

Days

The number of vehicles that received this update, grouped by day.

April 5, 2022 1
April 3, 2022 1
March 27, 2022 2
March 23, 2022 1
March 22, 2022 1
March 21, 2022 2
March 18, 2022 2
March 17, 2022 1
March 16, 2022 5
March 15, 2022 5
March 14, 2022 11

Update History

The historical record of all vehicles that received this update.

Time New Version Previous Version Model HW Country
3 months ago 2022.4.5.15 2021.44.30.21 Model S 100D 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model Y AWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model 3 Performance 2.5 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model 3 SR 2.5 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model Y AWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.5 Model Y AWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model Y AWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model S Plaid 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model 3 SR+ 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.5 Model 3 RWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model Y AWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model 3 AWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model 3 Performance 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model S 75D 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model Y AWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model Y AWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model S Long Range 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model X 75D 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model S 75D 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model S Plaid 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model Y AWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model 3 RWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model Y AWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model 3 AWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.5 Model 3 SR+ 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model S Long Range 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model 3 SR+ 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model Y AWD LR 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model 3 Performance 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model 3 Performance 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.10 Model 3 Performance 3.0 United States
3 months ago 2022.4.5.15 2021.44.30.21 Model Y AWD LR 2.5 United States