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Tesla is patenting a clever way to train Autopilot with augmented camera images
Tesla is currently tackling what could only be described as its biggest challenge to date. In his Master Plan, Part Deux, CEO Elon Musk envisioned a fleet of zero-emissions vehicles that are capable of driving on their own. Tesla has made steps towards this goal with improvements and refinements to its Autopilot and Full Self-Driving suites, but a lot of work remains to be done.
As noted by Tesla during its Autonomy Day presentation last year, attaining Full Self-Driving is largely a matter of training the neural networks used by the company. Tesla adopts what could be described as a somewhat organic approach for autonomy, with the company using a system that is centered on cameras and artificial intelligence — the equivalent of a human primarily using the eyes and brain to drive.
Tesla’s camera-centric approach may be quite controversial due to Elon Musk’s strong stance against LiDAR, but it is gaining ground, with other autonomous vehicle companies such as MobilEye developing FSD systems that rely primarily on visual data and a trained neural network. This approach does come with its challenges, as training neural networks requires tons of data. Tesla emphasized this point as much during its Autonomy Day presentation.
With this in mind, it is pertinent for the electric car maker to train its neural networks in a way that is as efficient as possible with zero compromises. To help accomplish this, Tesla seems to be looking into the utilization of augmented data, as described in a recently published patent titled “Systems and Methods for Training Machine Models with Augmented Data.”
Teslas are equipped with a suite of cameras that provide 360-degree visual coverage for the vehicle. In the patent’s description, Tesla noted that images used for neural network training are usually captured by various sensors, which, at times, have different characteristics. An example of this may lie in a Tesla’s three forward-facing cameras, each of which has a different field of view and range as the other two.
Tesla’s recent patent describes a system that allows the company to process these images in an optimized manner. Part of how this is done is through augmentation, which opens the doors to flexible and widespread neural network training, even when it involves vehicles equipped with differently-specced cameras. The electric car maker describes this process as such:
“Augmentation may provide generalization and greater robustness to the model prediction, particularly when images are clouded, occluded, or otherwise do not provide clear views of the detectable objects. These approaches may be particularly useful for object detection and in autonomous vehicles. This approach may also be beneficial for other situations in which the same camera configurations may be deployed to many devices. Since these devices may have a consistent set of sensors in a consistent orientation, the training data may be collected with a given configuration, a model may be trained with augmented data from the collected training data, and the trained model may be deployed to devices having the same configuration.”
Among the most notable aspects of Tesla’s recent patent is the use of “cutouts,” which allow Tesla’s neural networks to be trained using an optimized set of images. This was something that was discussed by former Tesla Autopilot engineer Eshak Mir in a Third Row Podcast interview, where he hinted at a system adopted in the electric car maker’s ongoing Autopilot rewrite that helped lay out “all the camera images” from a vehicle “into one view.” Such a process has the potential to help Tesla with 3D labeling, especially since the images used for neural network training are stitched together. Tesla’s patent seems to reference a system that is very similar to that described by the former Autopilot engineer.
“As a further example, the images may be augmented with a“cutout” function that removes a portion of the original image. The removed portion of the image may then be replaced with other image content, such as a specified color, blur, noise, or from another image. The number, size, region, and replacement content for cutouts may be varied and may be based on the label of the image (e.g., the region of interest in the image, or a bounding box for an object).”
Tesla is aiming to release a feature-complete version of its Full Self-Driving suite as soon as possible. Elon Musk remains optimistic about this, despite the company missing its initial timeline that was set at the end of 2019. That being said, Elon Musk did mention previously that Tesla is working on a foundational rewrite of Autopilot. In a tweet early last month, Musk stated that an essential part of the rewrite involves work on Autopilot’s core foundation code and 3D labeling. Once done, the CEO indicated that additional functionalities could be rolled out quickly. This recent patent, if any, seems to give a glimpse at how these improvements are being done.
Elon Musk
Tesla Model Y tops California vehicle sales despite Elon Musk backlash
Data from the California New Car Dealers Association (CNCDA) showed the Model Y outsold its nearest competitor by more than 50,000 units.
The Tesla Model Y was California’s best-selling new vehicle in 2025 for the fourth straight year, despite protests against CEO Elon Musk and a changeover to the Model Y’s updated variant that caused a pause in production and deliveries early in the year.
Data from the California New Car Dealers Association (CNCDA) showed the Model Y outsold its nearest competitor by more than 50,000 units, according to KRON4.
The Model Y recorded 110,120 registrations in California in 2025. The second-best-selling vehicle, the Toyota RAV4, posted 65,604 units, followed by the Toyota Camry at 62,324. The Tesla Model 3 ranked fourth with 53,989 sales, ahead of the Honda Civic at 53,085 units.
Despite leading the state, Model Y sales have trended downward year-over-year. Registrations fell from 132,636 in 2023 to 128,923 in 2024, and then to 110,120 in 2025. Overall Tesla sales in California also declined, dropping from 238,589 in 2023 to 202,865 in 2024 and 179,656 in 2025.
The slowdown comes as the federal $7,500 EV tax credit ended, removing a key incentive that had supported electric vehicle demand for years.
“Tesla has a few advantages. Tesla, as a brand, has a status, cache, so I think folks in certain parts of the Bay. Owning a Tesla is a thing. I think that’s breaking down over time, especially given the political controversies surrounding Mr. Musk,” CNCDA President Brian Maas said.
California saw multiple anti-Musk protests in 2025, along with notable reports of consumer-owned Teslas being vandalized and attacked by protesters and activists. The fact that the Model Y and Model 3 remained strong performers in California is then a testament to the quality and value of the two vehicles.
Tesla’s sales of the Model Y and Model 3 might see an increase this year, as the company has announced that it is sunsetting its two more expensive cars, the Model S and Model X. With the Model S and Model X retired, more consumers will likely go for the Model Y and Model 3.
“Maybe the Model S has outlived its usefulness in terms of attracting customers. It’s no surprise the ones they kept are the Model Y and Model 3,” Maas noted.
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Tesla Supercharger left offline as Swedish court backs union strike
The completed Supercharger has been stalled for nearly two years amid Tesla’s conflict with the IF Metall union in Sweden.
Tesla’s Supercharger station in Ljungby, Sweden will remain without power after a Swedish administrative court rejected the company’s appeal to force a grid connection to the site. The completed Supercharger has been stalled for nearly two years amid Tesla’s conflict with the IF Metall union in Sweden.
The court ruled that the ongoing union strike against Tesla Sweden is valid grounds for the Supercharger’s connection delay, as noted in an Allt Om Elbil report.
The Ljungby Supercharger was one of the first charging stations that were denied grid access after IF Metall launched its strike against Tesla Sweden in late 2023. Electricians at local grid operator Ljungby Energinät were pulled into a sympathy strike by the Seko union, preventing the site’s connection.
Tesla reported both Ljungby Energinät and Gävle Energi Elnät AB to the Swedish Energy Market Inspectorate, arguing that grid operators failed to meet their legal obligation to provide connection to the location within a reasonable time frame.
The regulator ruled that the strike represented a valid exception under Swedish law, however, citing constitutional protections for industrial actions.
Tesla responded by appealing to the Administrative Court in Linköping, claiming it had the right to connection within a reasonable period, generally no more than two years. Tesla Sweden also argued that the country’s Electricity Act conflicts with EU law. The court rejected those arguments.
“The Administrative Court today finds that granting the company’s request in practice applies to the same thing as the blockade and that it would mean that the blockade would be ineffective.
“Such a decision would contradict the principle that labor market conflicts should be resolved to the greatest extent possible by the labor market parties, not by the state. The industrial action is also constitutionally protected,” Chief Councilor Ronny Idstrand stated.
The court also concluded that the Electricity Act does not conflict with EU regulations and that special reasons justified the extended delay.
While the ruling was unanimous, Tesla Sweden may appeal the decision to a higher administrative court.
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Tesla China exports 50,644 vehicles in January, up sharply YoY
The figure also places Tesla China second among new energy vehicle exporters for the month, behind BYD.
Tesla China exported 50,644 vehicles in January, as per data released by the China Passenger Car Association (CPCA).
This marks a notable increase both year-on-year and month-on-month for the American EV maker’s Giga Shanghai-built Model 3 and Model Y. The figure also places Tesla China second among new energy vehicle exporters for the month, behind BYD.
The CPCA’s national passenger car market analysis report indicated that total New Energy Vehicle exports reached 286,000 units in January, up 103.6% from a year earlier. Battery electric vehicles accounted for 65% of those exports.
Within that total, Tesla China shipped 50,644 vehicles overseas. By comparison, exports of Giga Shanghai-built Model 3 and Model Y units totaled 29,535 units in January last year and just 3,328 units in December.
This suggests that Tesla China’s January 2026 exports were roughly 1.7 times higher than the same month a year ago and more than 15 times higher than December’s level, as noted in a TechWeb report.
BYD still led the January 2026 export rankings with 96,859 new energy passenger vehicles shipped overseas, though it should be noted that the automaker operates at least nine major production facilities in China, far outnumering Tesla. Overall, BYD’s factories in China have a domestic production capacity for up to 5.82 million units annually as of 2024.
Tesla China followed in second place, ahead of Geely, Chery, Leapmotor, SAIC Motor, and SAIC-GM-Wuling, each of which exported significant volumes during the month. Overall, new energy vehicles accounted for nearly half of China’s total passenger vehicle exports in January, hinting at strong overseas demand for electric cars produced in the country.
China remains one of Tesla China’s most important markets. Despite mostly competing with just two vehicles, both of which are premium priced, Tesla China is still proving quite competitive in the domestic electric vehicle market.
Tesla Model Y tops California vehicle sales despite Elon Musk backlash
Tesla Supercharger left offline as Swedish court backs union strike
