Tesla FSD Beta 11.4.8 Release Notes Explained: Faster Decision Making, Improved Park Assist and More

By Not a Tesla App Staff
A user on Reddit leaked the  release notes for Tesla's next FSD Beta release
A user on Reddit leaked the release notes for Tesla's next FSD Beta release

Tesla's most recent FSD Beta, v11.4.7.3 was released almost a month ago on October 19th, but it now looks like Tesla may be looking to release another FSD Beta update.

Release notes for an alleged subsequent version, FSD Beta 11.4.8, have surfaced on Reddit. While their authenticity isn't confirmed, the release notes use the same syntax and language Tesla typically uses. Here's a breakdown of what may be included in Tesla's next FSD release.

Update: These release notes have now been confirmed and the update is rolling out to Tesla employees for further testing. The update is version 2023.27.11.

Simplified Autopilot Activation

Single-Tap Autopilot: The update reportedly allows drivers to activate Autopilot with just one press of the stalk, instead of the current two-press method. This could make engaging and disengaging Autopilot quicker and more straightforward.

This feature, along with separate audio for passengers using the rear display recently made its way to production in update 2023.38.8, which adds some credibility to these leaked release notes. This could also mean that this version of FSD Beta may be based on a more recent production branch, instead of the current version of 2023.27, which is now starting to lag in terms of features.

Advanced Video Processing

New Video Module: A new video processing component has been introduced to improve vehicle detection, movement understanding (semantics), speed (velocity), and other attributes. This improvement means the system can process visual information more efficiently and quickly, enhancing overall performance.

Enhanced Object Detection

Better Object Detection: The system's ability to notice objects crossing its path is said to be improved by 6%. Additionally, vehicle detection has become more precise due to updated data and the new video module.

Improved Vehicle Interaction

Cut-In Vehicle Detection: The precision in detecting vehicles that cut into the Tesla's lane is reportedly improved by 15%. This is crucial for safer lane changes and merges.

Accuracy in Speed and Movement

Reduced Errors in Speed and Acceleration: The system now makes fewer errors in judging other vehicles' speed (by 3%) and acceleration (by 10%). This means a more accurate response in traffic.

Faster Decision-Making

Reduced Network Latency: The update claims to reduce the delay (latency) in the vehicle's decision-making network by 15%, allowing for quicker responses without compromising performance.

Pedestrian and Cyclist Safety

Rotation Error Reduction: There's an over 8% reduction in errors related to understanding how pedestrians and cyclists are moving or turning. This could improve interactions with these road users.

Enhanced Parking Assistance

Vision Park Assist Accuracy: The geometric accuracy of the Vision Park Assist system is improved by 16%, making parking assistance more reliable by leveraging data from hardware 4 vehicles. It appears that these improvements will apply to all vehicles without ultrasonic sensors, although it's not very clear.

Smoother Lane Changes

Lane Change Accuracy: The accuracy of lane changes in response to path blockages is improved by 10%, likely leading to smoother and safer driving in complex traffic situations.

While these updates, if true, indicate a continued effort by Tesla to refine and improve FSD Beta, Tesla also continues work on the next major release of FSD Beta, version 12. V12 is expected to be 'end-to-end' neural networks, which will be the first time that neural networks are used to control the vehicle.

It's not clear when Tesla expects to release FSD v12, which is also when Musk says FSD will graduate from its beta status. Musk recently showed off FSD v12 and its capabilities in a livestream on X.

The complete release notes that were shared on Reddit are below.

FSD Beta 11.4.8 Release Notes

-Added option to activate Autopilot with a single stalk depression, instead of two, to help simplify activation and disengagement.

-Introduced a new efficient video module to the vehicle detection, semantics, velocity, and attributes networks that allowed for increased performance at lower latency.This was achieved by creating a multi-layered, hierarchical video module that caches intermediate computations to dramatically reduce the amount of compute that happens at any particular time.

-Improved distant crossing object detections by an additional 6%, and improved the precision of vehicle detection by refreshing old datasets with better autolabeling and introducing the new video module.

-Improved the precision of cut-in vehicle detection by 15%, with additional data and the changes to the video architecture that improve performance and latency.

-Reduced vehicle velocity error by 3%, and reduced vehicle acceleration error by 10%, by improving autolabeled datasets, introducing the new video module, and aligning model training and inference more closely.

-Reduced the latency of the vehicle semantics network by 15% with the new video module architecture, at no cost to performance.

-Reduced the error of pedestrian and bicycle rotation by over 8% by leveraging object kinematics more extensively when jointly optimizing pedestrian and bicycle tracks in autolabeled datasets.

-Improved geometric accuracy of Vision Park Assist predictions by 16%, by leveraging 10x more HW4 data, tripling resolution, and increasing overall stability of measurements.

-Improved path blockage lane change accuracy by 10% due to updates to static object detection networks.

Tesla Vehicles Spotted With LiDAR: What Do They Use It For?

By Karan Singh
Not a Tesla App

Tesla recently hit the news for purchasing approximately $2M in LiDAR sensors from Luminar, one of Tesla’s long-term suppliers. You’ve probably seen photos of Tesla’s Semi and various Tesla models, including the Model 3 and Model Y sporting LIDAR equipment on the roof. These cars drive around with manufacturer plates scanning streets and highways.

However, many people confuse Tesla’s purpose in purchasing LiDAR equipment with using it for FSD versus testing. So, let’s look at what LiDAR is, and why Tesla uses it on its Fleet Validation Vehicles.

What is LiDAR?

LiDAR stands for Light Detecting and Ranging – essentially using lasers to measure distances. A laser pulse is sent out, and the time it takes to return is measured – providing extremely accurate distance measurements.

Some companies working on self-driving vehicles, including Waymo and BYD, use LiDAR as part of their self-driving suites, but Tesla is one of the few stand-outs that does not. Even Rimac’s “Verne” Robotaxi – which uses self-driving technology from Mobileye, also uses LiDAR.

While LiDAR can produce extremely accurate and high-quality 3D environments, it comes with its downsides as well. Not only is LiDAR costly and requires large gear strapped to a vehicle, but it also can not be used in bad weather and can have interference issues if there are other strong light sources present.

Why Does Tesla Use LiDAR?

A LiDAR rig mounted on a Tesla Semi for testing FSD.
A LiDAR rig mounted on a Tesla Semi for testing FSD.
Not a Tesla App

At Autonomy Day in 2019, Elon Musk mentioned that LiDAR isn’t the solution for self-driving cars – it's just a crutch. Thus, Tesla hasn’t used LiDAR for any production self-driving software.

Instead, Tesla uses it exactly how it's described – they use it to gather ground-truth data. This data is then used to feed Tesla’s Full Self Driving system – which helps validate its vision-only system's accuracy. LiDAR provides very accurate measurements to help ensure that FSD’s perception of space is accurate – and is only used by Tesla to ensure that its AI technology which is the brains of FSD is capable of accurately interpreting depth from just visual data.

Tesla’s vision-only system has been seen to be extremely accurate, with Vision-only Autopark being able to park in even narrower and tighter spaces faster than the previous version that relied on ultrasonic sensors.

We’ll likely continue to see Tesla purchase LiDAR systems, as well as use them for validation well into the future.

Tesla's Upcoming Robotaxi Event in August Delayed, According to Bloomberg

By Karan Singh
Sugar Design

In a report from Bloomberg, it is claimed that Tesla will be delaying its much-anticipated 8/8 Robotaxi event by two months to October 2024.

While sources other than Bloomberg haven't confirmed this report, Bloomberg has a positive track record of reporting on financial decisions. We’ll be sure to update the article if there is confirmation on X from Elon Musk or another Tesla senior official.

Tesla’s stock has dropped nearly 8.5% over the day, ending back-to-back gains over the last two weeks. It closed yesterday at $ 241 after hitting a peak of $270 earlier in the day before the news broke.

Why the Delay?

The delay – of approximately two months – has been communicated internally, but not publicly announced just yet. Bloomberg goes on to mention that the design team was told to rework certain elements of the Cybercab, necessitating the delay.

If Bloomberg’s report is correct, it sounds like Tesla’s unveil event will be largely focused on showing off the vehicle, instead of demoing how it will work. Of course, it could still be both, but given past events, Tesla has always shown off the vehicle years before it hits production.

Rimac recently showed off their version of robotaxi vehicle named Verne, and surprisingly, it could almost pass for Tesla’s own robotaxi. A lot of design cues in Rimac’s version are elements we have already seen or expect to see in Tesla’s autonomous taxi.

A recent Tesla patent revealed that Tesla is incorporating a sanitation system into their robotaxi that will be responsible for analyzing and cleaning the vehicle’s interior, although the delay itself is likely tied more to a physical feature rather than software.

Another element we know almost nothing about is how Tesla plans to charge these robotic taxis. Will they rely on the existing charge port and adapt a solution like the robotic charging arm (video below) we saw almost eight years ago, or will wireless charging or a dock finally become realized?

While the delay for Tesla’s event appears to be related to the vehicle’s design itself and not further development of FSD, Tesla is wasting no time in getting FSD working for the upcoming vehicle. Model 3 vehicles have already been spotted with camera locations that resemble a robotaxi.

Is the Delay Accurate?

We expect that this delay might actually be true – Elon Musk usually takes to X within hours of such news breaking if it's false to refute it and hasn’t done so yet.

Tesla has delayed several of their events in the past, and a delay of a couple of months seems plausible. We should hear from Musk himself soon on whether this report is accurate.

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