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Tesla is patenting a clever way to train Autopilot with augmented camera images

Tesla Autopilot construction zone lane (Credit: YouTube/Cf Tesla)

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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.”

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A block diagram of an environment for computer model training. (Credit: Patentscope.wipo.int)

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).”

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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.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Musk bankers looking to trim xAI debt after SpaceX merger: report

xAI has built up $18 billion in debt over the past few years, with some of this being attributed to the purchase of social media platform Twitter (now X) and the creation of the AI development company. A new financing deal would help trim some of the financial burden that is currently present ahead of the plan to take SpaceX public sometime this year.

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Credit: SpaceX

Elon Musk’s bankers are looking to trim the debt that xAI has taken on over the past few years, following the company’s merger with SpaceX, a new report from Bloomberg says.

xAI has built up $18 billion in debt over the past few years, with some of this being attributed to the purchase of social media platform Twitter (now X) and the creation of the AI development company. Bankers are trying to create some kind of financing plan that would trim “some of the heavy interest costs” that come with the debt.

The financing deal would help trim some of the financial burden that is currently present ahead of the plan to take SpaceX public sometime this year. Musk has essentially confirmed that SpaceX would be heading toward an IPO last month.

SpaceX IPO is coming, CEO Elon Musk confirms

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The report indicates that Morgan Stanley is expected to take the leading role in any financing plan, citing people familiar with the matter. Morgan Stanley, along with Goldman Sachs, Bank of America, and JPMorgan Chase & Co., are all expected to be in the lineup of banks leading SpaceX’s potential IPO.

Since Musk acquired X, he has also had what Bloomberg says is a “mixed track record with debt markets.” Since purchasing X a few years ago with a $12.5 billion financing package, X pays “tens of millions in interest payments every month.”

That debt is held by Bank of America, Barclays, Mitsubishi, UFJ Financial, BNP Paribas SA, Mizuho, and Société Générale SA.

X merged with xAI last March, which brought the valuation to $45 billion, including the debt.

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SpaceX announced the merger with xAI earlier this month, a major move in Musk’s plan to alleviate Earth of necessary data centers and replace them with orbital options that will be lower cost:

“In the long term, space-based AI is obviously the only way to scale. To harness even a millionth of our Sun’s energy would require over a million times more energy than our civilization currently uses! The only logical solution, therefore, is to transport these resource-intensive efforts to a location with vast power and space. I mean, space is called “space” for a reason.”

The merger has many advantages, but one of the most crucial is that it positions the now-merged companies to fund broader goals, fueled by revenue from the Starlink expansion, potential IPO, and AI-driven applications that could accelerate the development of lunar bases.

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Tesla pushes Full Self-Driving outright purchasing option back in one market

Tesla announced last month that it would eliminate the ability to purchase the Full Self-Driving software outright, instead opting for a subscription-only program, which will require users to pay monthly.

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Credit: Tesla

Tesla has pushed the opportunity to purchase the Full Self-Driving suite outright in one market: Australia.

The date remains February 14 in North America, but Tesla has pushed the date back to March 31, 2026, in Australia.

Tesla announced last month that it would eliminate the ability to purchase the Full Self-Driving software outright, instead opting for a subscription-only program, which will require users to pay monthly.

If you have already purchased the suite outright, you will not be required to subscribe once again, but once the outright purchase option is gone, drivers will be required to pay the monthly fee.

The reason for the adjustment is likely due to the short period of time the Full Self-Driving suite has been available in the country. In North America, it has been available for years.

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Tesla hits major milestone with Full Self-Driving subscriptions

However, Tesla just launched it just last year in Australia.

Full Self-Driving is currently available in seven countries: the United States, Canada, China, Mexico, Australia, New Zealand, and South Korea.

The company has worked extensively for the past few years to launch the suite in Europe. It has not made it quite yet, but Tesla hopes to get it launched by the end of this year.

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In North America, Tesla is only giving customers one more day to buy the suite outright before they will be committed to the subscription-based option for good.

The price is expected to go up as the capabilities improve, but there are no indications as to when Tesla will be doing that, nor what type of offering it plans to roll out for owners.

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Starlink terminals smuggled into Iran amid protest crackdown: report

Roughly 6,000 units were delivered following January’s unrest.

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Credit: Starlink/X

The United States quietly moved thousands of Starlink terminals into Iran after authorities imposed internet shutdowns as part of its crackdown on protests, as per information shared by U.S. officials to The Wall Street Journal

Roughly 6,000 units were delivered following January’s unrest, marking the first known instance of Washington directly supplying the satellite systems inside the country.

Iran’s government significantly restricted online access as demonstrations spread across the country earlier this year. In response, the U.S. purchased nearly 7,000 Starlink terminals in recent months, with most acquisitions occurring in January. Officials stated that funding was reallocated from other internet access initiatives to support the satellite deployment.

President Donald Trump was aware of the effort, though it remains unclear whether he personally authorized it. The White House has not issued a comment about the matter publicly.

Possession of a Starlink terminal is illegal under Iranian law and can result in significant prison time. Despite this, the WSJ estimated that tens of thousands of residents still rely on the satellite service to bypass state controls. Authorities have reportedly conducted inspections of private homes and rooftops to locate unauthorized equipment.

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Earlier this year, Trump and Elon Musk discussed maintaining Starlink access for Iranians during the unrest. Tehran has repeatedly accused Washington of encouraging dissent, though U.S. officials have mostly denied the allegations.

The decision to prioritize Starlink sparked internal debate within U.S. agencies. Some officials argued that shifting resources away from Virtual Private Networks (VPNs) could weaken broader internet access efforts. VPNs had previously played a major role in keeping Iranians connected during earlier protest waves, though VPNs are not effective when the actual internet gets cut.

According to State Department figures, about 30 million Iranians used U.S.-funded VPN services during demonstrations in 2022. During a near-total blackout in June 2025, roughly one-fifth of users were still able to access limited connectivity through VPN tools.

Critics have argued that satellite access without VPN protection may expose users to geolocation risks. After funds were redirected to acquire Starlink equipment, support reportedly lapsed for two of five VPN providers operating in Iran.

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A State Department official has stated that the U.S. continues to back multiple technologies,  including VPNs alongside Starlink, to sustain people’s internet access amidst the government’s shutdowns.

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