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.

Follow

Follow

Cybertruck to be waterproof and serve as a boat briefly, may also appear in Cyberpunk 2077

Cybertruck may appear in Cyberpunk 2077 game

Cyberpunk

Cybertruck deliveries will start next year, but if you can't wait that long, you may want to head for Night City. Cyberpunk 2077 has teased that the highly anticipated vehicle in the real world may appear in the popular video game. But, if that's not enough, Elon Musk announced another exciting and unique feature for the futuristic-looking truck - it will be waterproof.

Let's start with the floating Cybertruck, which should not be a shock to anyone following the Tesla CEO. He bought the Lotus Esprit that James Bond used to jump off a pier and transform into a submarine in The Spy Who Loved Me. He purchased the movie prop for just under $1 million in 2013 and told USA Today, "I was disappointed to learn that it can't actually transform. What I'm going to do is upgrade it with a Tesla electric powertrain and try to make it transform for real."

In 2016 he tweeted that the Model S "floats well enough to be a boat," but he did not recommend trying it. Now he has claimed the Cybertruck could be used as a boat — briefly. Musk tweeted: Cybertruck will be waterproof enough to serve briefly as a boat, so it can cross rivers, lakes & even seas that aren't too choppy.

Cybertruck may appear in Cyberpunk 2077 game

Cyberpunk

In a later tweet, he gave some idea of the distance he has in mind: Needs be able to get from Starbase to South Padre Island, which requires crossing the channel.

Twitter user @Erdayastronaut shed some light on why Musk would be singling out that area and distance. The tweet reads: "One of SpaceX's biggest problems is attracting talent to work at Starbase, which is extremely remote. South Padre is an awesome place to live, but it's almost an hour drive to Starbase despite being only 5 miles from Starbase because of the shipping channel." A quick check of Google Maps demonstrates what the user is describing.

South Padre is only five minutes from Starbase if you cross the channel

Google

Musk's tweet also caught the attention of the Washington State Department of Natural Resources. Officials there seem to be a little concerned about the wording. The official account tweeted: Our derelict vessel crews are begging you to understand that anything that "serves briefly as a boat" should not be used as a boat.

CD Projekt RED also noticed Musk's tweet, and the makers of Cyberpunk used the opportunity to show two concepts of the Cybertruck as it would appear in Night City. Musk and Cyberpunk have had an ongoing relationship for a few years. Most recently, he demonstrated the power of the onboard computer's gaming system by playing Cyberpunk in a Tesla. However, CD Projekt RED did not mention if the Cybertruck in Cyberpunk would float.

Cyberpunk 2077 will be playable in the new Model S

Tesla hints at 'Reverse Summon' being available this year

Tesla now mentions 'Park Seek' or what we know as reverse summon on its website

Tesla

Tesla's team of Autopilot engineers is validating significant advancements to Full Self Driving Beta, including parking lot improvements. While Smart Summon and Reverse Summon were not specifically mentioned during the 3.5-hour AI Day 2022 event, parking lots were discussed, and Elon Musk gave a timeline of when enhancements are expected.

Reverse Summon or 'Park Seek' as Tesla appears to be calling it, is the opposite of Smart Summon. Whereas Smart Summon drives to you from a parking spot, users who activate Reverse Summon would have their Tesla drop them off at a location, perhaps closest to the entrance of a mall, and then find a parking spot. This feature was described by Musk on July 1, 2020, when he gave it a two to a four-month timeline.

Ashok Elluswamy, Tesla’s director of the Autopilot program, started the FSD portion of AI Day, saying, “FSD beta software is quite capable of driving the car. It should be able to navigate from parking lot to parking lot, city street driving, stopping for traffic lights and stops signs, negotiating with objects at intersections, making turns and so on.”

Several team members described how FSD has advanced and soon will be an integrated stack, meaning one code base that includes everything the program needs to navigate the car in a parking lot or on a busy highway. Musk is currently using this new stack, “it works quite well for me, but we need to validate it in all kinds of weather, like heavy rain, snow, dust and make sure it is working better than the production stack across a wide range of environments.”

Paril Jain, the Manager of Autopilot Motion Planning, expanded on what else will be included in the integrated stack, “we do expect to also include the parking lot stack as a part of the FSD stack before the end of this year. So, that will basically bring us to you sitting in the car in the parking lot and drive till the end of the parking lot, at a parking spot, before the end of this year.”

It has been previously reported that Reverse Summon would have three different modes to find parking spots that the owner prefers. The methods would include closest to the entrance, nearby a cart return, and the end of the parking lot for those who like to avoid tight spots that cause door dings. Musk said that the integrated stack is on track for release before the end of the year and maybe as early as November.

Tesla has also updated it's website to reflect this news, although no timeframe is given. The Autopilot section of Tesla's site now has a section titled "To your Destination." The description reads "When you arrive at your destination, simply step out at the entrance and your car will enter park seek mode, automatically search for a spot and park itself. A tap on your phone summons it back to you."