FSD Beta 10.11 now going out to public testers

By Nuno Cristovao
New vector lanes
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
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.

First Look at Tesla’s New 'Blind Spot While Parked' Feature [VIDEO]

By Karan Singh
Automobile Propre

Tesla software update 2024.44.3 has started rolling out to customers in larger waves recently and it brings several new features - including Actually Smart Summon to Europe and the Middle East, as well as improvements to Autopark. But that’s not all, it also adds a new Blind Spot Monitoring feature to the new Model 3, and potentially the Cybertruck, but that’s still to be determined.

We previously covered the Blind Spot Warning While Parked as part of our preview notes for update 2024.44, but now that it's going out to customers, it's time to see it in action.

Blind Spot Monitoring While Parked

If the vehicle’s door open button is pressed, and a vehicle or object is near or incoming, the vehicle’s Blind Spot Warning Light (2024 Model 3 and Cybertruck) will illuminate, an audible tone will ring and the door won’t open. A message will also be displayed on the center displaying, letting driver’s know why the door didn’t open.

Pressing the button a second time will allow you to override the warning and open the door normally, providing a way to get out in case you just parked close to a nearby vehicle or obstacle.

The object detection for this new feature includes cars, pedestrians, cyclists, and other objects - like things including traffic cones, bollards, strollers, and other large obstacles that FSD and vision-based Autopark detect during normal operation. Of note - this only works for the front two doors. Thanks to X user Max, who did some testing for us, It does not work for the rear passenger doors.

Optional Feature

The feature is optional - it’ll be enabled by default for safety, but if you need to enable or disable it, you can do so under Controls > Safety. For now, the feature is only available on the 2024 Model 3, but we expect it to roll out to the Cybertruck at least. However, there’s no reason why it can’t be added to other vehicles as well, minus the small red dot. We expect Tesla to eventually add this feature to all Tesla vehicles, but it’s currently not a part of update 2024.44.

Enhauto’s S3XY Buttons & Commander

If that’s not enough safety and vision for you, Enhauto, the makers of the popular S3XY Buttons and Commander recently put out a new software update for the 2024 Model 3, which makes some fantastic use of the ambient lighting.

With Enhauto’s solution, users are able to tie their ambient lights to Autopilot use, turn signals or even if a vehicle is their blind spot. Check out the video below for this awesome implementation, where the ambient lights turn red when another vehicle approaches.

Maybe Tesla will integrate something like this into a future update? We’ve been hoping for more customizability with their ambient lighting - it's an easy safety win and a demonstration of Tesla’s do-more-with-less attitude.

Tesla Improves Trip Planner - Arrival State of Charge Coming

By Karan Singh
DBurkland/X

Tesla recently added the ability to report Supercharger issues - such as insufficient lighting, accessibility, cleanliness, and other things that can’t be automatically monitored. In response to the post on the official X Supercharger Community, Max de Zegher, Director of Charging, North America, confirmed that one of the most wish-listed features - Arrival State of Charge, is coming soon.

The feature is now possible thanks to what Wes Morrill, Cybertruck’s lead engineering, points out is a huge rewrite of Tesla’s Trip Planner, which not only makes it much more accurate but will now allow users to choose their arrival charge percentage.

More Accurate Trip Planner

When you navigate to a destination, your Tesla will automatically calculate when, where, and how much you need to charge. While the process seems straightforward, Tesla deserves a lot of credit for creating a simple user experience because a lot goes into accurately determining this information.

Tesla has to calculate many moving pieces in order to accurately predict when and where you should stop. First, it needs to consider your driving efficiency and wind direction, terrain elevation, traffic, vehicle speed, and ambient temperature. It also needs to predict the best Superchargers to stop at, taking into account congestion and charger speed.

This morning, in response to Dan Burkland, Wes shared that Tesla had significantly rewritten the backend portion of Trip Planner. These improvements, made by several engineers, were designed to improve Trip Planner’s accuracy and open the door to future features.

It sounds like these changes are mostly server-side, so thanks to their OTA connection, more accurate predictions should be available to all vehicles—no vehicle update is required.

Arrival State of Charge

Along with Tesla’s improvements to Trip Planner, Wes also stated that these improvements allow for a popular feature request — the ability to select your desired charge level at arrival.

Up until now, Tesla’s Trip Planner tried to get you to your destination as quickly as possible, which usually meant arriving with a low state of charge.

While this was fine if you have a charger at your destination, it’s not great if you don’t, or it could be even worse if there are no chargers nearby.

Max de Zegher said on X that he has heard the requests for a selectable arrival state of charge. Wes later clarified this by saying that these improvements to Tesla’s Trip Planner now allow for additional features to be added, such as “desired arrival charge.”

When Does it Arrive?

Given that Max de Zegher’s comments came last night and Wes Morrill commented this morning, this feature request likely won’t arrive with the upcoming Holiday Update. Tesla actually hinted at such a feature being added in their last app update, so it does seem like they’ve already planned for it.

Although ‘Arrival State of Charge’ was on our wishlist for the Holiday Update, it looks like it may arrive soon after the holidays.

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