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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!
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Stellantis unveils solid-state battery for EVs
Stellantis validated solid state battery cells for EVs: ultra-dense, fast-charging, and AI-optimized. Launching demo fleet by 2026.

Stellantis N.V. and Factorial Energy have validated Factorial’s automotive-sized FEST® solid-state battery cells, a major milestone for next-generation electric vehicle (EV) batteries. The breakthrough positions Stellantis and Factorial to advance EV performance with lighter, more efficient batteries.
“Reaching this level of performance reflects the strengths of our collaboration with Factorial.
“This breakthrough puts us at the forefront of the solid-state revolution, but we are not stopping there. We continue working together to push the boundaries and deliver even more advanced solutions, bringing us closer to lighter, more efficient batteries that reduce costs for our customers,” said Ned Curic, Stellanti’s Chief Engineering and Technology Officer.
The 77Ah FEST® cells achieved an energy density of 375Wh/kg, supporting over 600 cycles toward automotive qualification. Unlike lithium-ion batteries, these solid-state cells charge from 15% to over 90% in 18 minutes at room temperature and deliver high power with discharge rates up to 4C. Factorial’s AI-driven electrolyte formulation enables performance in temperatures from -30°C to 45°C (-22°F to 113°F), overcoming previous solid-state limitations.
“Battery development is about compromise. While optimizing one feature is simple, balancing high energy density, cycle life, fast charging, and safety in an automotive-sized battery with OEM validation is a breakthrough,” said Siyu Huang, CEO of Factorial Energy. “This achievement with Stellantis is bringing next-generation battery technology from research to reality.”
The collaboration optimizes battery pack design for reduced weight and improved efficiency, enhancing vehicle range and affordability. Stellantis invested $75 million in Factorial in 2021 and plans to integrate these batteries into a demonstration fleet by 2026. This fleet will validate the technology’s real-world performance, a critical step toward commercialization.
The milestone aligns with Stellantis’ push for sustainable EV solutions, leveraging Factorial’s disruptive technology to meet the rising demand for high-performance batteries. As the companies refine pack architecture, the validated cells promise faster charging and greater efficiency, potentially reshaping the EV market. With the demonstration fleet on the horizon, Stellantis and Factorial are poised to lead the solid-state battery push, delivering cost-effective, high-range EVs to consumers.
News
Tesla China vehicle registrations rise 51% in April’s fourth week
In the week ending April 27, Tesla China saw 10,300 new vehicle registrations.

Tesla China’s new vehicle registrations saw a notable rise in the week of April 21-27, 2025. Over the week, the electric vehicle maker’s registrations saw an impressive 51% week-over-week rise, suggesting that domestic vehicle deliveries are on the rise once more.
Tesla China Results
In the week ending April 27, Tesla China saw 10,300 new vehicle registrations. This represents a notable rise from the company’s registration numbers in the past weeks of April. For context, Tesla China saw 3,600 registrations in the week ending April 6, 5,400 registrations in the week ending April 13, and 6,780 registrations in the week ending April 20, 2025.
Considering that April is the first month of the second quarter, expectations were high that Tesla China was allocating Giga Shanghai’s output for vehicle exports. With 10,300 registrations in the week ending April 27, however, it would appear that the company’s domestic deliveries are picking up once more.
Tesla China does not report its weekly sales figures, though a general idea of the company’s overall perforce in the domestic auto sector can be inferred through new vehicle registrations. Fortunately, these registrations are closely tracked by industry watchers, as well as some local automakers like Li Auto.
Tesla Model 3 and Model Y in Focus
Tesla China produces the Model Y and Model 3 in Giga Shanghai. Both vehicles are also exported from China to foreign territories. As per industry watchers, it would appear that both the Model 3 and Model Y saw an increase in registrations in the week ending April 27.
The Model 3, for one, appears to have seen 3,200 registrations in the week ending April 27, a 14% increase from the 2,800 that were registered in the week ending April 20. For context, Tesla China saw just 1,500 new Model 3 registrations in the week ending April 13 and 1,040 registrations in the week ending April 6.
The Model Y, on the other hand, saw 7,100 registrations in the week ending April 27. That’s a 77.5% increase from the 4,000 that were registered in the week ending April 20. Tesla also saw 3,900 registrations in the week ending April 13, and 2,540 registrations in the week ending April 6, 2025.
News
Volkswagen teams with Uber for robotaxi service with the ID. Buzz
Volkswagen and Uber team up to launch a driverless ID. Buzz robotaxi fleet in U.S. cities. Testing starts in LA this year.

Volkswagen of America and Uber unveiled a plan to launch a commercial robotaxi service using autonomous electric ID. Buzz vehicles across U.S. cities over the next decade. The partnership marks a significant step for Volkswagen’s autonomous vehicle ambitions, leveraging Uber’s ride-hailing expertise.
The service will debut in Los Angeles by late 2026, with human safety operators initially overseeing the fleet before transitioning to fully driverless operations in 2027. Volkswagen ADMT, the German automaker’s autonomous subsidiary, will begin testing in Los Angeles later this year upon securing a testing permit from the California Department of Motor Vehicles. The California Public Utilities Commission will oversee permits for the commercial ride-hailing phase.
“Volkswagen is not just a car manufacturer — we are shaping the future of mobility, and our collaboration with Uber accelerates that vision,” said Christian Senger, CEO of Volkswagen Autonomous Mobility. “What really sets us apart is our ability to combine the best of both worlds–high-volume manufacturing expertise with cutting-edge technology and a deep understanding of urban mobility needs.”
The Trump administration’s recent policy shift, announced last Thursday by Transportation Secretary Sean Duffy, supports initiatives like VW and Uber’s partnerships by easing federal safety rules and crash reporting requirements on autonomous vehicle development. According to Duffy, the United States government wants to outpace Chinese competitors in autonomous vehicle development.
Volkswagen ADMT, which launched publicly in July 2023, has been testing 10 ID. Buzz vehicles equipped with Mobileye’s autonomous technology in Austin, reported TechCrunch. Two years ago, Volkswagen focused on selling self-driving vans and fleet management software rather than building its own ride-hailing service. VW’s strategy toward autonomous vehicles appears to have shifted, as reflected in its Uber partnership.
Uber will strengthen its autonomous vehicle portfolio through its partnership with Volkswagen. The ride-hailing service company has secured deals with over 14 firms, including Waymo in Austin and a forthcoming launch in Atlanta.
The Volkswagen-Uber collaboration positions both companies to capitalize on the growing robotaxi market. With testing imminent and regulatory support increasing, the ID. Buzz fleet could redefine urban mobility, blending Volkswagen’s manufacturing prowess with Uber’s ride-hailing network to compete in the evolving autonomous vehicle landscape.
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