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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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Tesla Roadster unveiling gets pushed again, but new event details emerge

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Credit: Dan Burkland

Tesla has reportedly pushed the unveiling of the Roadster once again, but there are also evidently new details about the event that the company plans to show off.

The Information reported this morning that Tesla will now unveil, for the second time, the next-generation Roadster in August, a further delay from the multiple timeline that the company had previously stated.

The report has not been confirmed or denied by Tesla at any capacity.

It also states the unveiling event will take place in Texas, the same place that Tesla executives revealed in May would be the place of manufacture for the company’s highly-anticipated supercar, which boasts a top speed of over 250 MPH and 650 miles of range, according to its website.

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Tesla is also expected to showcase the SpaceX package, which will be used for faster acceleration and potentially hovering capabilities, at the unveiling event, the report states. Musk has always planned for this to happen, but now it seems it is more realistic than ever

The Roadster has had its unveiling date and manufacturing date pushed back on many occasions. It was set to start production in 2020, but the COVID-19 pandemic crippled supply chain operations, forcing Tesla to push its timeline back considerably.

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However, COVID has been over for some time, and Tesla has still not managed to successfully schedule and execute an unveiling event, which is something fans and enthusiasts, as well as those who have put down a $50,000 deposit, have been waiting for.

The vehicle was close to completion last year, but Musk truly wanted Lars Moravy and Franz von Holzhausen to push the limits of the Roadster. In July of last year, Moravy said:

“Roadster is definitely in development. We did talk about it last Sunday night. We are gearing up for a super cool demo. It’s going to be mind-blowing; We showed Elon some cool demos last week of the tech we’ve been working on, and he got a little excited.”

It is important to note two things: Tesla has not confirmed these details, and the company has regularly pushed these dates back. Until Tesla sends out formal invitations with a concrete date, taking any unveiling event reports with a grain of salt is a good idea.

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Tesla Model 3 has a tasty Supercharging incentive, but it’s ending soon

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Credit: Tesla

Tesla is offering a tasty Supercharging incentive on certain Model 3 trims, but the company has officially put a concrete end date on it, so those interested should act fast.

Tesla is offering Free Supercharging for One Year on the Model 3 Premium and Performance trims, the top two offerings of the all-electric sedan. There are three trims of the Model 3 that will have the Free Supercharging offer attached:

  • Premium Rear-Wheel-Drive – $42,490
  • Premium All-Wheel-Drive – $47,490
  • Performance – $54,990

Tesla has now announced that this offer will expire on June 15, giving potential buyers about ten days to take advantage of the incentive.

This could be an additional incentive for car buyers to transition to electric vehicles. Many states are showing gas prices well over $4 per gallon, with the national average currently sitting at $4.22, according to AAA.

Tesla Model 3 wins Edmunds’ Best EV of 2026 award

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A free year of Supercharging miles would allow people to charge and travel for free, other than routine maintenance, which is already incredibly cheap compared to a gas car.

At Tesla Superchargers, peak rates, meaning prices between 8 a.m. and 10 p.m., average between $0.45 and $0.60. One year of driving at an average of 12,000 miles would cost between $1,000 and $1,500 at $0.50 per kWh. It’s a pretty good deal.

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Supercharging prices have also increased recently:

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Tesla has used Free Supercharging to move units in the past, and it’s a great strategy for those who plan to use the car for longer commutes, cross-country drives, or do not have reliable access to home charging.

It should be noted that Tesla recommends that Supercharging be used at a minimum to preserve the life of the battery, as fast-charging is more stressful on the cells.

However, some people might not have an option, so the Free Supercharging incentive could truly be a great reason for many people to charge their cars.

The Supercharging incentive is short-term, and it is pretty rare that Tesla utilizes it, so once this offer is gone, we probably will not see it on the Model 3 for some time.

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Ferrari CEO’s self-driving stance echoes Elon Musk’s — sort of

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Credit: Tesla | Ferrari

Ferrari CEO Benedetto Vigna revealed that the Italian automaker’s future will not involve self-driving, a point that echoes that of Tesla CEO Elon Musk’s — sort of.

You might be thinking, “Are you insane? Musk has been so incredibly hellbent on delivering self-driving vehicles to the public, so much so that he has even hinted that Tesla won’t need the ever-popular and widely-requested Model Y L in the U.S.

However, when it comes to electric supercars with high-performance specs and lofty price tags, Vigna’s stance is exactly what Musk wants for Tesla’s own hypercar project, the Tesla Roadster.

In a new interview with Australian media outlet Drive, Vigna made it clear that Ferrari’s ambitions for the future do not involve autonomy, simply because the company’s cars are not designed for anything but manual, spirited driving.

He said:

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“We will not make fully autonomous cars — loud and clear. We want the people to have fun, not the [computer] chips. We want to have a steering wheel and a man or a woman behind the steering wheel. Otherwise, why do you buy a Ferrari?”

This seems to be a reasonable assertion. Ferraris are not made for daily commutes, cross-country road trips, or bumper-to-bumper traffic. They’re made for fast, spirited driving, and many of their buyers will only put a few thousand miles on them throughout their lifetime. True, exciting, fun driving is meant to be done manually.

That is not to say Full Self-Driving or other semi-autonomous suites are not “fun,” but they are meant to take the stress out of driving. They are made for the daily commutes, the rush hour traffic, and the parking lots and garages. It’s made to take the stress out of driving.

Tesla Full Self-Driving attempts 150-mile stress test: the good and the bad

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Musk had stated in an interview in early 2026 that the Roadster would also be geared toward fun, manually-controlled driving. On the Moonshots podcast with Peter Diamandis, Musk said about the Roadster:

“This is not a…safety is not the main goal. If you buy a Ferrari, safety is not the number one goal. I say, if safety is your number one goal, do not buy the Roadster…We’ll aspire not to kill anyone in this car. It’ll be the best of the last of the human-driven cars. The best of the last.”

There are cars out there that simply are meant to be driven by humans, and Ferraris and Roadsters are a few of them. Ferrari has no true advantage in developing self-driving; their cars sell at low volumes with high price tags, and their performance specs and engineering are all geared toward spirited driving.

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