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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.
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News
Tesla Model 3 and Model Y named top car buys in Norway
Despite growing competition from European and Korean brands, both models stood out for their balance of price, performance, and everyday usability.
Norway’s annual roundup of the best car purchases featured Tesla’s two main sellers this year, with the Model 3 and Model Y securing top positions in their respective segments.
Despite growing competition from European and Korean brands, both models stood out for their balance of price, performance, and everyday usability. The verdict comes as electric vehicle adoption remained above 95% of new vehicle sales in the country.
Tesla Model 3 strengthens its value position
Among compact EVs, the Tesla Model 3 maintained its position as the best overall buy thanks to its strong blend of performance, efficiency, and updated features. Reviewers noted that every trim offered compelling value, especially with the all-electric sedan’s improved cabin ergonomics and the return of the turn-signal stalk, which was one of the few previous complaints among drivers.
The Model 3’s mix of long-range capability, low operating costs, and responsive handling has continued to set the benchmark for compact EVs in Norway. While competitors from Hyundai, Volkswagen, and Peugeot have narrowed the gap, Tesla’s price-to-capability ratio has remained difficult to beat in this segment, Motor.no reported.
“The Model 3 clearly offers the best value for money in the compact class, no matter which version you choose. Now it also gets the turn signal lever back. This eliminates one of the few flaws in a driving environment that many believe is the best on the market,” the publication wrote.
-->Tesla Model Y claims its crown
The Tesla Model Y emerged as Norway’s top family-car purchase this year. The latest refresh introduced improvements in ride quality, styling, and interior materials, allowing the Model Y to deliver a more premium driving experience without a substantial price increase.
Reviewers praised its spacious cabin, strong safety profile, and practical range, all of which reinforced its appeal for families needing an all-purpose electric crossover. The Model Y remains especially notable given its continued popularity in Norway even as Tesla faces declining sales in other global markets.
“The Model Y is back as the winner in the family class. The upgrade in the new year was even more extensive than expected. It is a slightly more elegant and significantly more comfortable Model Y that solidifies its position as Norway’s best car purchase in the most important class,” the Norwegian motoring publication noted.
News
Tesla Giga Berlin is still ramping production to meet Model Y demand: plant manager
Tesla Gigafactory Berlin has expanded to two full shifts, as per the facility’s plant manager, and a lot of it is due to Model Y demand.
Tesla Gigafactory Berlin has expanded to two full shifts, as per the facility’s plant manager, and a lot of it is due to Model Y demand. While registrations in some countries such as Sweden have fallen sharply this year, the company’s sales in other key territories have been rising.
Giga Berlin shifts to two shifts
Giga Berlin factory manager André Thierig told the DPA that the facility has been running two shifts since September to manage a surge in global orders. And due to the tariff dispute with the United States, vehicles that are produced at Giga Berlin are now being exported to Canada.
“We deliver to well over 30 markets and definitely see a positive trend there,” Thierig said.
Despite Giga Berlin now having two shifts, the facility’s production still needs to ramp up more. This is partly due to the addition of the Tesla Model Y Performance and Standard, which are also being produced in the Grunheide-based factory. Interestingly enough, Giga Berlin still only produces the Model Y, unlike other factories like Gigafactory Texas, the Fremont Factory, and Gigafactory Shanghai, which produce more than one type of vehicle.
Norway’s momentum
Norway, facing an imminent tax increase on cars, has seen a historic spike in Tesla purchases as buyers rush to secure deliveries before the change takes effect, as noted in a CarUp report. As per recent reports, Tesla has broken Norway’s all-time annual sales record this month, beating Volkswagen’s record that has stood since 2016.
-->What is rather remarkable is the fact that Tesla was able to achieve so much in Norway with one hand practically tied behind its back. This is because the company’s biggest sales draw, FSD, remains unavailable in the country. Fortunately, Tesla is currently hard at work attempting to get FSD approved for Europe, a notable milestone that should spur even more vehicle sales in the region.
Tesla is launching a crazy Full Self-Driving free trial, which will enable owners who have not purchased the suite outright to try it for 30 days.
There are a handful of stipulations that will be needed in order for you to qualify for the free trial, which was announced on Thursday night.
Tesla said the trial is for v14, the company’s latest version of the Full Self-Driving suite, and will be available to new and existing Model S, Model 3, Model X, Model Y, and Cybertruck owners, who will have the opportunity to try the latest features, including Speed Profiles, Arrival Options, and other new upgrades.
🚨 Tesla is launching a free 30-day trial of Full Self-Driving in North America for owners.
It includes every model, but you need v14.2 or later, and you cannot have already purchased the suite outright. https://t.co/8CNmxxOkVl
— TESLARATI (@Teslarati) November 27, 2025
You must own one of the five Tesla models, have Full Self-Driving v14.2 or later, and have an eligible vehicle in the United States, Puerto Rico, Mexico, or Canada.
The company said it is a non-transferable trial, which is not redeemable for cash. Tesla is reaching out to owners via email to give them the opportunity to enable the Full Self-Driving trial.
Those who are subscribed to the monthly Full Self-Driving program are eligible, so they will essentially get a free month of the suite.
Once it is installed, the trial will begin, and the 30-day countdown will begin.
Tesla is making a major push to increase its Full Self-Driving take rate, as it revealed that about 12 percent of owners are users of the program during its recent earnings call.
Tesla CFO Vaibhav Taneja said during the call:
“We feel that as people experience the supervised FSD at scale, demand for our vehicles, like Elon said, would increase significantly. On the FSD adoption front, we’ve continued to see decent progress. However, note that the total paid FSD customer base is still small, around 12% of our current fleet.”
Earlier today, we reported on Tesla also launching a small-scale advertising campaign on X for the Full Self-Driving suite, hoping to increase adoption.
Tesla Full Self-Driving warrants huge switch-up on essential company strategy
It appears most people are pretty content with the subscription program. It costs just $99 a month, in comparison to the $8,000 fee it is for the outright purchase.
Tesla Model 3 and Model Y named top car buys in Norway
Tesla Giga Berlin is still ramping production to meet Model Y demand: plant manager
