Connect with us
tesla-fsd-beta-v-11-3-release-date tesla-fsd-beta-v-11-3-release-date

News

Tesla FSD Beta V11.3 starts shipping to employees (Release Notes)

Credit: Drive in EV/Twitter

Published

2 years ago

on

The release notes for Tesla FSD Beta V11.3 have been shared online. Observers from the electric vehicle community suggest that Tesla Full Self-Driving Beta 11.3 is rolling out to the company’s employee FSD Beta testers, at least for now. 

The following are Tesla’s FSD Beta V11.3 release notes: 

  • Enabled FSD Beta on highway. This unifies the vision and planning stack on and off-highway and replaces the legacy highway stack, which is over four years old. The legacy highway stack still relies on several single-camera and single-frame networks, and was setup to handle simple lane-specific maneuvers. FSD Beta’s multi-camera video networks and next-gen planner, that allows for more complex agent interactions with less reliance on lanes, make way for adding more intelligent behaviors, smoother control and better decision making.
  • Added voice drive-notes. After an intervention, you can now send Tesla an anonymous voice message describing your experience to help improve Autopilot.
  • Expanded Automatic Emergency Braking (AEB) to handle vehicles that cross ego’s path. This includes cases where other vehicles run their red light or turn across ego’s path, stealing the right-of-way.
  • Replay of previous collisions of this type suggests that 49% of the events would be mitigated by the new behavior. This improvement is now active in both manual driving and autopilot operation.
  • Improved autopilot reaction time to red light runners and stop sign runners by 500ms, by increased reliance on object’s instantaneous kinematics along with trajectory estimates.
  • Added a long-range highway lanes network to enable earlier response to blocked lanes and high curvature.
  • Reduced goal pose prediction error for candidate trajectory neural network by 40% and reduced runtime by 3X. This was achieved by improving the dataset using heavier and more robust offline optimization, increasing the size of this improved dataset by 4X, and implementing a better architecture and feature space.
  • Improved occupancy network detections by oversampling on 180K challenging videos including rain reflections, road debris, and high curvature.
  • Improved recall for close-by cut-in cases by 20% by adding 40k autolabeled fleet clips of this scenario to the dataset. Also improved handling of cut-in cases by improved modeling of their motion into ego’s lane, leveraging the same for smoother lateral and longitudinal control for cut-in objects.
  • Added “lane guidance module and perceptual loss to the Road Edges and Lines network, improving the absolute recall of lines by 6% and the absolute recall of road edges by 7%.
  • Improved overall geometry and stability of lane predictions by updating the “lane guidance” module representation with information relevant to predicting crossing and oncoming lanes.
  • Improved handling through high speed and high curvature scenarios by offsetting towards inner lane lines. 
  • Improved lane changes, including: earlier detection and handling for simultaneous lane changes, better gap selection when approaching deadlines, better integration between speed-based and nav-based lane change decisions and more differentiation between the FSD driving profiles with respect to speed lane changes.
  • Improved longitudinal control response smoothness when following lead vehicles by better modeling the possible effect of lead vehicles’ brake lights on their future speed profiles.
  • Improved detection of rare objects by 18% and reduced the depth error to large trucks by 9%, primarily from migrating to more densely supervised autolabeled datasets.
  • Improved semantic detections for school busses by 12% and vehicles transitioning from stationary-to-driving by 15%. This was achieved by improving dataset label accuracy and increasing dataset size by 5%.
  • Improved decision making at crosswalks by leveraging neural network based ego trajectory estimation in place of approximated kinematic models.
  • Improved reliability and smoothness of merge control, by deprecating legacy merge region tasks in favor of merge topologies derived from vector lanes.
  • Unlocked longer fleet telemetry clips (by up to 26%) by balancing compressed IPC buffers and optimized write scheduling across twin SOCs.

Several longtime FSD Beta testers have pointed out some key improvements that would likely be very appreciated by users in V11.3. These include the systems’ improved handling through high speed and high curvature scenarios, as well as improvements to Automatic Emergency Braking (AEB). With the improvements in place, FSD Beta V11.3 would behave closer to a proper human driver. 

Advertisement

Comments from longtime Tesla FSD Beta testers also suggest that V11.3 is still only being released for company employees for now. Considering Tesla’s past updates, it would not be surprising if the greater FSD Beta fleet gets the V11.3 update in the coming week or so. This is, of course, unless V11.3 ends up going the way of FSD Beta V11, which was released to employees in November but not to the greater fleet of FSD Beta testers. 

The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.

Related Topics:

Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

Advertisement
Comments

Elon Musk

Elon Musk says Tesla Robotaxi launch will force companies to license Full Self-Driving

“The automakers keep being told that this isn’t real or that just buying some hardware from Nvidia will solve it. As Tesla robotaxis become widespread and their other solutions don’t work, they will naturally turn to us.”

Published

46 minutes ago

on

June 10, 2025

By

Tesla CEO Elon Musk says the automaker’s Robotaxi platform launch later this month will essentially force other companies to license Full Self-Driving to achieve their own goals of achieving autonomy.

Musk’s statement comes as a video captured today showed the first Tesla Robotaxi test mules on public streets in Austin, Texas, just one day after the City officially listed the company as an autonomous vehicle operator.

A prediction by investing YouTube and Tesla community member Dave Lee stated that “at least one automaker by end of year” will license Full Self-Driving from the Musk-led company, as it will give rivals the confidence to use the software to run their own self-driving operations.

Lee detailed his theory by stating that the company that chooses to commit to FSD licensing will not be able to integrate the hardware and sell those units immediately. Instead, it will take two years or so to solve the engineering and design applications.

First Tesla driverless robotaxi spotted in the wild in Austin, TX

Advertisement

Musk revealed his true thoughts on other automakers’ attempts at vehicle autonomy, and said many are being told that Robotaxi is not real or that they can solve their problems with hardware orders to Nvidia.

He went on to say that companies will be forced to turn to Tesla at some point or another, because Robotaxi will be widespread and their solutions to figuring out an effective deployment will prove to be failures:

“The automakers keep being told that this isn’t real or that just buying some hardware from Nvidia will solve it. As Tesla robotaxis become widespread and their other solutions don’t work, they will naturally turn to us.”

Musk has not been shy to respond to speculation regarding the video of the Robotaxi, which was shared on X earlier today. This is perhaps one of the more fiery things he revealed. He seems ultra-confident in what Tesla will prove and achieve in the near future with the launch of the Robotaxi platform.

Many believe it will be rolled out this month. Bloomberg reported recently that Tesla was internally aiming for June 12. The company has not directly responded to these rumors.

Tesla has discussed on several occasions that it is in talks with an automaker about licensing Full Self-Driving, but it has never revealed who. The company first revealed discussions with another automaker in early 2024 when Elon Musk said:

“We’re in conversations with one major automaker regarding licensing FSD. It really just becomes a case of having them use the same cameras and inference computer and licensing our software. Once it becomes obvious that if you don’t have this (FSD) in a car, nobody wants your car. It’s a smart car… The people don’t understand all cars will need to be smart cars, or you will not sell, or nobody would buy it. Once that becomes obvious, I think licensing becomes not optional.”

Advertisement

Tesla confirms it is in talks with major automaker for potential FSD licensing

Many, including us, suspected that Ford was the company that Tesla was speaking of due to Musk’s relationship with Jim Farley, which resulted in the legacy automaker being the first major car company to adopt Tesla’s North American Charging Standard (NACS), which gave them access to the Supercharging Network.

This catalyzed an onslaught of companies choosing to make the same move as Tesla had truly set itself apart in terms of charging infrastructure.

Companies may be forced to make a similar decision if it can make the same type of statement with the rollout of Robotaxi.

Advertisement
Continue Reading

Elon Musk

Tesla CEO Elon Musk reveals new details about Robotaxi rollout

The first Tesla Robotaxi unit was spotted in Austin earlier today, and CEO Elon Musk is revealing some cool new details.

Published

3 hours ago

on

June 10, 2025

By

Tesla CEO Elon Musk has revealed new details about the company’s relatively imminent rollout of the Robotaxi platform as the suspected launch date of June 12 continues to near.

Earlier today, the first video showing the first driverless Tesla Robotaxi in Austin was shared on X, just a day after the City officially listed the company as an autonomous vehicle operator on its website. Tesla is listed as a company in the “Testing” phase.

The initial details of the Robotaxi are being revealed by Musk, who is carefully releasing small tidbits that seem to show the capabilities of the entire Tesla fleet, and not necessarily just the vehicles that will be involved in the initial rollout in Austin.

First Tesla driverless robotaxi spotted in the wild in Austin, TX

His first tidbit is one that many Tesla owners and fans will already know: many Teslas are capable of this driveless performance, but Full Self-Driving is not yet refined to the point where the software is quite ready to handle it. Current versions are robust, but not prepared for driverless navigation. The hardware, however, will enable Teslas to be Robotaxis, even if they’re already purchased by owners:

This is one of the biggest advantages Tesla has over other vehicle makers. Simply put, the Over-the-Air software updates that will roll out to FSD users will eventually make their cars into Robotaxis as well.

However, Musk shed some details on the version of FSD that is being run in these new Robotaxis that were spotted. Musk said that the version these Robotaxis are running is a new version, but will soon “merge to main branch.”

There is also an even newer version that has four times the parameters as this newer version that the test-stage Robotaxis are using, but Musk admits that this needs significant refinement before it is released to the public.

As of now, Tesla is simply teasing the actual launch date of the Robotaxi program, but Bloomberg reported earlier this month that it will occur on June 12.

Advertisement
Continue Reading

News

First Tesla driverless robotaxi spotted in the wild in Austin, TX

The short clip suggests that Tesla may be ramping up its preparations for its robotaxi rollout in Austin.

Published

4 hours ago

on

June 10, 2025

By

Credit: @TerrapinTerpene/X

A recent video posted on X has provided a first look at Tesla’s driverless robotaxi, which is expected to be deployed in Austin, Texas, this month. The vehicle was a new Tesla Model Y, which was followed by what appeared to be a manned chase car.

The short clip suggests that Tesla may be ramping up its preparations for its robotaxi rollout in Austin.

The First Robotaxi Sighting

It was evident from the short clip that the Tesla robotaxi was operating completely driverless. In the video, which was posted on X by @TerrapinTerpene, the driverless Tesla could be seen confidently making a turn. The vehicle looked and behaved like any other car on the road, save for the fact that there was no one in the driver’s seat.

Interestingly enough, the short video also provided a teaser on where Tesla will place its “robotaxi” logo on its self-driving cars. Based on the video, the robotaxis’ logo will be tastefully placed on the front doors, making the vehicles look sleek and clean.

Initial Rollout Imminent

Recent reports have suggested that Tesla is already starting the testing phase of its robotaxi service in Austin, Texas. Expectations are also high that Tesla’s initial fleet of self-driving vehicles will be utilizing a lot of teleoperation to ensure that they operate as safely as possible.

Advertisement

Updates to Austin’s official website recently have hinted at Tesla’s robotaxi launch. Just this Monday, Tesla was listed as an autonomous vehicle (AV) operator on Austin’s official Department of Motor Vehicles (DMV). Other AV operators listed on the site are Waymo and Zoox, among others.

Elon Musk, for his part, has noted that by the end of June, the public in Austin should be ready to take rides in Tesla robotaxis without an invitation. He also noted in late May that Tesla has been busy testing driverless cars on Austin’s city streets without any incidents.

Continue Reading

Trending