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Tesla patents virtualization and machine learning software to improve FSD
Tesla has applied for a set of patents that are set to significantly improve virtualization, recognition, and Full Self Driving overall.
Tesla has worked tirelessly to improve full self-driving technology in the first two months of the year. Most recently, Tesla pushed its most significant improvement to employees, v11.3. Still, with new patented technology, the software is set to continue to improve dramatically this year. The two patents, focusing on virtualization and machine learning, appeared in the U.S. Patent Office database late last week.
The first patent, “Vision-Based Machine Learning Model for Autonomous Driving with Adjustable Virtual Camera,” is likely simply a reworking of a previous system but changed to fit Tesla’s new visual-only autonomous driving system. The second patent, “Vision-Based Machine Learning Model for Aggregation of Static Objects and Systems for Autonomous Driving,” focuses more on improving the virtualization seen on screen while in the vehicle.
The first patent’s abstract describes a system that looks similar to the one already available in Tesla vehicles but has been adapted to remove non-visual sensors. However, it does include an added “adjustable virtual camera,” potentially indicating that Tesla is working to give drivers more control of looking out of their car with the camera system or improved virtualization interaction.
“Systems and methods for a vision-based machine learning model for autonomous driving with adjustable virtual camera. An example method includes obtaining images from a multitude of image sensors positioned about a vehicle. Features associated with the images are determined, with the features being output based on a forward pass through a first portion of a machine learning model. The features are projected into a vector space associated with a virtual camera at a particular height. The projected features are aggregated with other projected features associated with prior images.”
The second, significantly more extensive patent is described in its abstract, focusing on the “aggregation of static objects” by the vehicle:
“Systems and methods for a vision-based machine learning model for aggregation of static objects and systems for autonomous driving. An example method includes obtaining images from image sensors positioned about a vehicle. Features associated with the images are determined, with the features being output based on a forward pass through a machine learning model. The features are projected into a vector space associated with a birds-eye view based on the machine learning model.”
If anything, the new patents from Tesla show just how dedicated it is to its visual-only system. Nowhere in either of the patents does the automaker address other sensor inputs, which seems to line up with recent discoveries showing upcoming vehicles without ultrasonic sensors.
Further, with Tesla’s increasing focus on making vehicles more AI capable, implementing improved machine learning also matches its design goals.
It remains unclear whether these improvements have been implemented in upcoming software versions or have already been placed in cars via recent software updates. Still, they nonetheless indicate that the company is making continuous progress in its pursuit.
As more and more automakers enter the autonomous driving competition, Tesla’s lead becomes ever more apparent. And while many have mocked the company for its dedication to AI over just vehicles, that investment is proving to be a fantastic one. Hopefully, it will result in an increasingly better Tesla driving experience in the coming years.
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!
Tesla has officially put the Cybercab up for sale, revealing a bargain price and a $299 per month “Autonomy Subscription” that could hit customer hands as soon as December.
The offer requires a $299 monthly Autonomy Subscription, with the first month included in the purchase price, along with a $1,000 non-refundable order deposit. Tesla’s ordering interface shows deliveries targeted for Austin, Texas.
Tesla says that the Cybercab is making transportation more efficient, affordable and accessible than ever before, and that buyers can order their own Cybercab for personal use.
🚨🚨🚨 BREAKING: Tesla Cybercab is officially on sale for $29,990 with a $299/mo “Autonomy Subscription”
Delivery slotted for December! HUGE!
— TESLARATI (@Teslarati) November 13, 2026
The Cybercab is Tesla’s dedicated robotaxi, a gold-finished, two-passenger vehicle without a steering wheel or pedals, designed from the outset for unsupervised autonomous operation. It has been in limited Robotaxi service in Austin since September 2026, operating alongside Tesla’s larger fleet of Model Y vehicles.
Production takes place at Gigafactory Texas, which launched earlier this year. Tesla has stated for some time that it planned to put Cybercabs on sale by the end of the year, and it looks like they will come through on that promise if everything goes according to plan.
The Autonomy Subscription is mandatory for the vehicle to operate because it is void of a steering wheel and pedals. Tesla notes that the subscription and regular vehicle maintenance are required, indicating that personal owners will depend on the company’s software and service infrastructure rather than traditional ownership models.
One month of the subscription is included with purchase and subsequent months are billed separately until canceled.
This limited personal-sales opening marks a shift from Tesla’s earlier emphasis on fleet and transport-as-a-service operations. During the Q3 2026 Earnings Call, executives indicated that the vast majority of Cybercabs would remain Tesla-owned and used for rideshare service, while still aiming to place some vehicles with customers by year-end.
Elon Musk has previously targeted a price below $30,000, which was a huge point of emphasis for the Cybercab being the central point of Tesla’s “transportation-as-a-service” model.
Availability remains restricted to invited customers rather than a public order page, and the initial deliveries are expected only in the Austin area where unsupervised Robotaxi operations are already active. Buyers will need to accept the geographic and operational constraints of current autonomous deployment, as the vehicle cannot be driven manually outside supported zones.
The move gives a small number of early buyers the chance to own Tesla’s dedicated autonomous vehicle at the long-discussed sub-$30,000 price point, while the bulk of production continues to support the company’s expanding Robotaxi network.
UPDATE: The FAA has granted the license for Starship Flight 15.
Starship Flight 15 License has been granted by the FAA!
Let’s go! https://t.co/DugsgjvYAe
— TESLARATI (@Teslarati) November 13, 2026
SpaceX is set to attempt its 15th test flight of Starship this evening from Starbase, Texas.
SpaceX is targeting Starship Flight 15 for a launch as soon as today, Friday, November 13, pending an FAA Flight License, during a 75-minute window that opens at 4:45 p.m. CT (5:45 p.m. ET) from Orbital Launch Pad 2 at Starbase, Texas. The flight remains pending final regulatory approval.
WATCH Starship Flight 15 here:
https://t.co/C6GnCHyF8p
— TESLARATI (@Teslarati) November 13, 2026
The mission, using Booster 22 and Ship 42, aims to achieve the first full recovery of an orbital launch system. Primary objectives include a tower catch of the Super Heavy booster roughly six and a half minutes after liftoff and the first-ever tower catch of a Starship upper stage after more than 22 hours in space.
SpaceX will perform Starship double catch attempt with Flight 15
Between those catches, Ship 42 is planned to enter a low Earth orbit of about 275 km, complete roughly 14 orbits, and deploy 26 next-generation Starlink V3 satellites (Starlink Group 31-2). Three of those satellites carry cameras to inspect the ship’s heat shield in orbit and help controllers decide whether the vehicle is healthy enough for a return to the tower.
Contingency ocean splashdown options exist if either stage is not cleared for catch.
To watch the attempt, check the link to the broadcast in both X posts in this article. The live webcast is scheduled to begin about 30 minutes before liftoff and is planned to continue through the ship catch the next day, with the possibility of extended onboard views during the orbital coast via Starlink.
Because the schedule is dynamic, check back here or on our social media channels for the latest updates on window timing and regulatory status. A successful dual catch would mark a major milestone toward making Starship a rapidly reusable rocket capable of frequent flights.
WATCH Starship Flight 15 here:
https://t.co/C6GnCHyF8p
— TESLARATI (@Teslarati) November 13, 2026
Tesla has trimmed its Model Y offerings as its Standard All-Wheel-Drive configuration has been removed from the online configurator after roughly nine months on sale. The move follows the removal of the Cybertruck, as its trims have also been minimized as that vehicle heads for total discontinuation at the end of Summer 2027.
Launched in February 2026 as a mid-tier dual-motor option between the Rear-Wheel-Drive model and the Premium trims, the Standard All-Wheel-Drive Model Y offered 294 miles of range and a 4.6-second 0-60 mph time in a stripped-down package.
🚨 Tesla has pulled the $41,990 Model Y AWD from its U.S. configurator after nine months on sale.
The cheapest AWD Model Y you can order is now the $49,990 Premium AWD, with Premium deliveries quoted for Jan–Mar 2027.
The $39,990 RWD stays, and AWD units remain in inventory. https://t.co/uROJp2lVpx
— TESLARATI (@Teslarati) November 13, 2026
With it gone, the cheapest new AWD Model Y buyers can configure is now the Premium AWD at $49,990, with estimated deliveries pushed into January–March 2027. The $39,990 rear-wheel-drive Model Y remains available for custom orders, and some AWD units are still listed in inventory.
The move arrives days after Tesla sharply narrowed its Cybertruck lineup. New orders for the Dual Motor AWD and Premium AWD versions have been disabled, leaving only the high-performance Cyberbeast—priced around $109,990 before fees—as the sole configurable option.
Elon Musk has stated that Cybertruck production at Gigafactory Texas will wind down around the middle to late summer of 2027 to free manufacturing space for greater Cybercab output. Tesla has raised prices on remaining trims and is prioritizing higher-margin builds while working through an existing order backlog that exceeds what the line can complete before conversion.
These parallel decisions reflect a broader effort to simplify Tesla’s retail customer lineup. Lower-volume or lower-margin variants are being phased out or deprioritized in favor of core, higher-spec models that generate stronger profitability and clearer production planning.
For the Model Y, this concentrates volume on the remaining RWD and Premium configurations while Premium deliveries already stretch into 2027. For the Cybertruck, it accelerates the transition away from a stainless-steel pickup that underperformed relative to initial volume expectations.
Tesla Model Y Standard Full Review: Is it worth the lower price?
The freed capacity and reduced complexity directly support Cybercab scaling. Tesla began pilot Cybercab production at Giga Texas in early 2026, launched paid autonomous rides in Austin in September, and is preparing for substantial volume growth.
By streamlining the existing vehicle portfolio, the company is reallocating factory space, engineering attention, and supply-chain resources toward its purpose-built Robotaxi, which lacks a steering wheel or pedals and is designed exclusively for unsupervised autonomy.
The result is a leaner retail lineup today and a clearer path to high-volume Cybercab deployment tomorrow.
Tesla Cybercab goes on sale for $29,990, slated for December deliveries
SpaceX Starship Flight 15: How to watch the double catch attempt
