FSD Beta 10.11 now going out to public testers

New vector lanes

@MarkHalleyPhd/Twitter

Tesla's latest FSD Beta, v10.11 is now going out to public testers. The beta is version 2022.4.5.15. For FSD Beta testers, it'll be the first update they receive that's based on a 2022 release.

Earlier this month Elon tweeted that the beta may go out as early as this past Tuesday. However, he then followed up that it was instead going to go out this past weekend.

Over the weekend we saw FSD Beta 10.11 go out to several employees, which Tesla uses as a final testing phase before releasing to the public.

Today we're finally seeing several public testers getting this build, but it may be a while before it goes out to everyone. Tesla looks at the release carefully as it's going out and can choose to slow it down, speed it up or stop it completely to fix any issues.

When Elon spoke about the next FSD Beta, he mentioned FSD Beta 10.12. This beta is version 10.11. It's not clear whether there was a misunderstanding or whether Tesla initially planned to increment the version.

However, this is a completely new beta for all public testers and it appears to be packed with improvements.

The most notable improvements appear to be new vector-based lanes and reduced slowdowns. An example of the new vector-based lanes is below. In addition to clearer lane markings, it appears that the whole lane will also be highlighted in blue when the car starts to perform a lane change.

New vector lanes

@MarkHalleyPhd/Twitter

This beta is expected to hit Canada for the first time according to Elon, but there are no signs yet of it going north of the border.

Tesla will likely monitor it for several days in the US before releasing it to our northern neighbor.

The complete FSD Beta release notes are below:

- 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 autolabeler, 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 and ends.

- 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%. Also improved brake light accuracy.

- 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 ethernet data transfer pipeline by 15%.

- Improved recall for vehicles directly behind ego, and improved precision for vehicle detection network.

Release Notes Explained

Here is a great video that explains Tesla's technical release notes and what improvements you can find in this release.

In addition to the improvements in this FSD Beta, testers can also expect to find these other features that were added in the 2022.4 update.

Range Display Calibration for LFP batteries

If you have a SR+ with an LFP battery, then you'll also receive this feature that charges your car to 100% to help improve battery calibration. LFP batteries have very similar voltages from a low state of charge to a high state of charge. If the battery isn't regularly charged to 100%, it can be difficult for the vehicle to know its state of charge, which could cause some issues.

Cabin Camera

Tesla is collecting additional analytics from the cabin camera to help develop additional features. Tesla is asking you to opt-in to cabin camera analytics if you'd like to help develop new features.

There's no word on what these new features may be, but it could be just about anything, such as the ability to send you a notification if it detects an animal in your car and you forgot to turn on Dog Mode.

Car Colorizer

We're probably all familiar with this feature by now that allows you to alter the exterior color of your vehicle. The color you pick is used in the car's visualizations, car menus and in the Tesla app. You can also view a video of Tesla's Car Colorizer feature.

Audio Sources

The ability to disable certain audio sources comes back in 2022.4. If there are audio sources that you don't use, such as TIDAL, Spotify, or TuneIn, you can now disable them.

When an audio source is disabled, it won't appear in the More Apps menu or in the Sources dropdown.

Icons in the Status Bar

2022.4 was released quite a while ago, so it's easy for FSD Beta testers to forget everything that is in this release and why they should be excited.

Some icons are now returning to the car's top status bar, such as Driver Profiles (while in park) and the Sentry Mode icon.

Save Dashcam Clips

You can now more easily save dashcam clips if you have the Dashcam viewer in your launcher. Since the dashcam viewer can't be used while driving, the icon now has a dual purpose. If you tap it while in Drive, your car will save the last ten minutes of footage.

Regenerative Braking in Autopilot

Additional regenerative braking is now used in Autopilot, which will be especially useful in FSD. The vehicle previously used regenerative braking while on AP, but it will now apply it at lower speeds that better match how a driver would use regenerative braking.

Windshield Wiper Defrost

If you have a new Tesla that was built in the past few months, then it may have windshield wiper heaters. If it does, then this is the software update that enables it.

Nearby Superchargers

You can once again view nearby Superchargers in the same way you could in Tesla's v10 software. The Superchargers icon now appears on the far side just like it used to.

This FSD Beta release is an exciting one that includes many new features with the updated FSD Beta build and in the public 2022.4 release. You can also view the full 2022.4 release notes.

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A Look at Tesla's Beach Buggy Racing Leaderboards – Supercharger Edition

Not a Tesla App

Earlier this year, Tesla released a update for its Beach Buggy Racing 2 game in update 2024.20, which brought a new leaderboard feature to the game.

Grab your wheel, and step on the accelerator, because it's time to take a look at Tesla’s updated Beach Buggy Racing 2 – Supercharger Edition.

Supercharger Leaderboards

Tesla introduced Supercharger Leaderboards to the game, which means anytime you’re at or near a Supercharger site, you can open up Beach Buggy Racing, and compete against other real people in a local leaderboard. Leaderboard are time-based, so that you’re able to compete against other drivers even if there’s no one else currently at the Supercharger.

Leaderboards are available for each track and are location specific, meaning that all Supercharger locations have their own unique leaderboard.

When you arrive at a Supercharger Tesla will prompt you to play Beach Buggy Racing and take a stab at the Leaderboards, but you don’t actually need to be charging to play. All the game requires is that your vehicle is physically at the Supercharger location.

So far, there are no global leaderboards, but competing with fellow Tesla owners at your local Supercharger offers a fun way to pass the time during a 15-minute charge.

Vehicle Colorizer

Not a Tesla App

One lesser known feature of Beach Buggy Racing is that changing your vehicle’s on-screen color through Tesla’s Colorizer will also change the way your vehicle looks in Beach Buggy Racing. It’s a neat little easter egg, but it's all the small details that count. The paint style options apply as well – so Solid, Matte, and Metallic also all reflect in the game.

How to Play Beach Buggy Racing

There are a few ways to play Beach Buggy Racing, and Tesla has thought of everything for this specific game.

You can open up the game from Tesla Arcade when the vehicle is in Park. You have three control options – using the touchscreen, using a Bluetooth or USB controller, or using your vehicle’s steering wheel.

If you’re using the steering wheel, keep in mind that unless you’ve got a Cybertruck with Steer-by-Wire, your actual wheels will also turn. This can add some flat spots to your tires if you play excessively. We recommend using a controller or the touchscreen. Keep in mind that if you’re playing with the vehicle’s steering wheel, you actually use the Brake pedal to accelerate, not the real accelerator pedal.

The author recently took first place at the Leaderboards for the Supercharger in Scarborough, so if you’re in Toronto anytime, feel free to challenge my score! If you’re a leaderboard holder, come let us know where you took first place in the forums.

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Tesla Adds New UI When FSD Camera View is Obstructed

@juztenough

On October 26, Tesla’s VP of AI, Ashok Elluswamy, announced that the company would soon release a fix for multiple warnings when FSD is degraded due to obstructed cameras. This update, part of FSD 12.5.6.2, addresses feedback from Tesla drivers, like X user TGWoodsy, who pointed out that these repeated alerts can be distracting, especially during bad weather.

FSD 12.5.6.2 started rolling out to employees on November 5th and was soon replaced with another update, version 12.5.6.3, a few days later. With FSD 12.5.6.3 now rolling out widely to AI4 vehicles, we have our first look at Tesla’s improved warning system.

Thanks to Jeff on X, we have our first look at Tesla’s new camera-obstructed warning. It now offers clearer, more specific information on which cameras are obstructed and actionable steps to improve visibility.

Warning

In previous versions, Tesla’s FSD would occasionally display a generic “degraded” warning whenever camera visibility was impacted, especially by rain, snow, or dirt. These warnings could trigger multiple alerts in quick succession, leading to audible notifications that were more distracting than helpful.

In FSD 12.5.6.3, Tesla has revamped this approach. Instead of repeatedly notifying drivers of degraded visibility, the system now provides a similar warning message that shows which camera’s visibility is limited and states that Autopilot features may be limited.

New Alert with Tips

@juztenough

In addition to the warning message, Tesla now displays an alert in the bottom left corner of the UI for Model 3 and Model Y owners that could be swiped away.

This notification gives you some additional information on why Autopilot may be degraded. It looks like Tesla stopped using the term FSD in these alerts and is now using “Autopilot,” hinting that this feature will also be available for regular Autopilot use. This new notification gives you a tip on how to improve camera clarity and even displays a thumbnail of the camera that’s obstructed.

This notification also has a View button that can be tapped to display more information about the camera or cameras that are obstructed.

Detailed View

Tesla has also added an option to view more in-depth information on the obstruction, allowing users to identify which specific camera is impacted and exactly where it’s located on the vehicle. By tapping “View,” drivers can open a detailed modal next to the FSD visualization. This pop-up displays a diagram of the vehicle and highlights the obstructed camera in question. This can be especially useful if it’s one of the front-facing cameras.

Tesla vehicles with Hardware 3 (HW3) have three front-facing cameras, while those with Hardware 4 (HW4) include two. The detailed view outlines the location of the obstructed cameras and shows a larger view of the obstructed camera, giving users a better idea of why it may be obstructed.

This detailed UI isn’t limited to front cameras alone—it’s expected to cover all the exterior cameras, which vary between seven and eight depending on the Tesla model.

This visual aid will be incredibly useful, as not all drivers may be familiar with where the repeater or B-pillar cameras are located.

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