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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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Armored Tesla Cybertruck “War Machine” debuts at Defense Expo 2025
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Tesla Megapacks chosen for 548 MWh energy storage project in Japan
Tesla plans to supply over 100 Megapack units to support a large stationary storage project in Japan, making it one of the country’s largest energy storage facilities.

Tesla’s Megapack grid-scale batteries have been selected to back an energy storage project in Japan, coming as the latest of the company’s continued deployment of the hardware.
As detailed in a report from Nikkei this week, Tesla plans to supply 142 Megapack units to support a 548 MWh storage project in Japan, set to become one of the country’s largest energy storage facilities. The project is being overseen by financial firm Orix, and it will be located at a facility Maibara in central Japan’s Shiga prefecture, and it aims to come online in early 2027.
The deal is just the latest of several Megapack deployments over the past few years, as the company continues to ramp production of the units. Tesla currently produces the Megapack at a facility in Lathrop, California, though the company also recently completed construction on its second so-called “Megafactory” in Shanghai China and is expected to begin production in the coming weeks.
READ MORE ON TESLA MEGAPACKS: Tesla Megapacks help power battery supplier Panasonic’s Kyoto test site
Tesla’s production of the Megapack has been ramping up at the Lathrop facility since initially opening in 2022, and both this site and the Shanghai Megafactory are aiming to eventually reach a volume production of 10,000 Megapack units per year. The company surpassed its 10,000th Megapack unit produced at Lathrop in November.
During Tesla’s Q4 earnings call last week, CEO Elon Musk also said that the company is looking to construct a third Megafactory, though he did not disclose where.
Last year, Tesla Energy also had record deployments of its Megapack and Powerwall home batteries with a total of 31.4 GWh of energy products deployed for a 114-percent increase from 2023.
Other recently deployed or announced Megapack projects include a massive 600 MW/1,600 MWh facility in Melbourne, a 75 MW/300 MWh energy storage site in Belgium, and a 228 MW/912 MWh storage project in Chile, along with many others still.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Tesla highlights the Megapack site replacing Hawaii’s last coal plant
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Elon Musk responds to Ontario canceling $100M Starlink deal amid tariff drama
Ontario Premier Doug Ford said, opens new tab on February 3 that he was “ripping up” his province’s CA$100 million agreement with Starlink in response to the U.S. imposing tariffs on Canadian goods.

Elon Musk company SpaceX is set to lose a $100 million deal with the Canadian province of Ontario following a response to the Trump administration’s decision to apply 25 percent tariffs to the country.
Starlink, a satellite-based internet service launched by the Musk entity SpaceX, will lose a $100 million deal it had with Ontario, Premier Doug Ford announced today.
Starting today and until U.S. tariffs are removed, Ontario is banning American companies from provincial contracts.
Every year, the Ontario government and its agencies spend $30 billion on procurement, alongside our $200 billion plan to build Ontario. U.S.-based businesses will…
— Doug Ford (@fordnation) February 3, 2025
Ford said on X today that Ontario is banning American companies from provincial contracts:
“We’ll be ripping up the province’s contract with Starlink. Ontario won’t do business with people hellbent on destroying our economy. Canada didn’t start this fight with the U.S., but you better believe we’re ready to win it.”
It is a blow to the citizens of the province more than anything, as the Starlink internet constellation has provided people in rural areas across the globe stable and reliable access for several years.
Musk responded in simple terms, stating, “Oh well.”
Oh well https://t.co/1jpMu55T6s
— Elon Musk (@elonmusk) February 3, 2025
It seems Musk is less than enthused about the fact that Starlink is being eliminated from the province, but it does not seem like all that big of a blow either.
As previously mentioned, this impacts citizens more than Starlink itself, which has established itself as a main player in reliable internet access. Starlink has signed several contracts with various airlines and maritime companies.
It is also expanding to new territories across the globe on an almost daily basis.
With Mexico already working to avoid the tariff situation with the United States, it will be interesting to see if Canada does the same.
The two have shared a pleasant relationship, but President Trump is putting his foot down in terms of what comes across the border, which could impact Americans in the short term.