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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.”

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:

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“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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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 owners propose interesting theory about Apple CarPlay and EV tax credit

“100%. It’s needed for sales because for many prospective buyers, CarPlay is a nonnegotiable must-have. If they knew how good the Tesla UI is, they wouldn’t think they need CarPlay,” one owner said.

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Credit: Tesla Raj/YouTube

Tesla is reportedly bracing for the integration of Apple’s well-known iOS automotive platform, CarPlay, into its vehicles after the company had avoided it for years.

However, now that it’s here, owners are more than clear that they do not want it, and they have their theories about why it’s on its way. Some believe it might have to do with the EV tax credit, or rather, the loss of it.

Owners are more interested in why Tesla is doing this now, especially considering that so many have been outspoken about the fact that they would not use it in favor of the company’s user interface (UI), which is extremely well done.

After Bloomberg reported that Tesla was working on Apple CarPlay integration, the reactions immediately started pouring in. From my perspective, having used both Apple CarPlay in two previous vehicles and going to Tesla’s in-house UI in my Model Y, both platforms definitely have their advantages.

However, Tesla’s UI just works with its vehicles, as it is intuitive and well-engineered for its cars specifically. Apple CarPlay was always good, but it was buggy at times, which could be attributed to the vehicle and not the software, and not as user-friendly, but that is subjective.

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Nevertheless, upon the release of Bloomberg’s report, people immediately challenged the need for it:

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Some fans proposed an interesting point: What if Tesla is using CarPlay as a counter to losing the $7,500 EV tax credit? Perhaps it is an interesting way to attract customers who have not owned a Tesla before but are more interested in having a vehicle equipped with CarPlay?

“100%. It’s needed for sales because for many prospective buyers, CarPlay is a nonnegotiable must-have. If they knew how good the Tesla UI is, they wouldn’t think they need CarPlay,” one owner said.

Tesla has made a handful of moves to attract people to its cars after losing the tax credit. This could be a small but potentially mighty strategy that will pull some carbuyers to Tesla, especially now that the Apple CarPlay box is checked.

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Investor's Corner

Ron Baron states Tesla and SpaceX are lifetime investments

Baron, one of Tesla’s longest-standing bulls, reiterated that his personal stake in the company remains fully intact even as volatility pressures the broader market.

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Credit: @TeslaLarry/X

Billionaire investor Ron Baron says he isn’t touching a single share of his personal Tesla holdings despite the recent selloff in the tech sector. Baron, one of Tesla’s longest-standing bulls, reiterated that his personal stake in the company remains fully intact even as volatility pressures the broader market.

Baron doubles down on Tesla

Speaking on CNBC’s Squawk Box, Baron stated that he is largely unfazed by the market downturn, describing his approach during the selloff as simply “looking” for opportunities. He emphasized that Tesla remains the centerpiece of his long-term strategy, recalling that although Baron Funds once sold 30% of its Tesla position due to client pressure, he personally refused to trim any of his personal holdings.

“We sold 30% for clients. I did not sell personally a single share,” he said. Baron’s exposure highlighted this stance, stating that roughly 40% of his personal net worth is invested in Tesla alone. The legendary investor stated that he has already made about $8 billion from Tesla from an investment of $400 million when he started, and believes that figure could rise fivefold over the next decade as the company scales its technology, manufacturing, and autonomy roadmap.

A lifelong investment

Baron’s commitment extends beyond Tesla. He stated that he also holds about 25% of his personal wealth in SpaceX and another 35% in Baron mutual funds, creating a highly concentrated portfolio built around Elon Musk–led companies. During the interview, Baron revisited a decades-old promise he made to his fund’s board when he sought approval to invest in publicly traded companies.

“I told the board, ‘If you let me invest a certain amount of money, then I will promise that I won’t sell any of my stock. I will be the last person out of the stock,’” he said. “I will not sell a single share of my shares until my clients sold 100% of their shares. … And I don’t expect to sell in my lifetime Tesla or SpaceX.”

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Watch Ron Baron’s CNBC interview below.

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Tesla CEO Elon Musk responds to Waymo’s 2,500-fleet milestone

While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service.

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Credit: Tesla

Elon Musk reacted sharply to Waymo’s latest milestone after the autonomous driving company revealed its fleet had grown to 2,500 robotaxis across five major U.S. regions. 

As per Musk, the milestone is notable, but the numbers could still be improved.

“Rookie numbers”

Waymo disclosed that its current robotaxi fleet includes 1,000 vehicles in the San Francisco Bay Area, 700 in Los Angeles, 500 in Phoenix, 200 in Austin, and 100 in Atlanta, bringing the total to 2,500 units. 

When industry watcher Sawyer Merritt shared the numbers on X, Musk replied with a two-word jab: “Rookie numbers,” he wrote in a post on X, highlighting Tesla’s intention to challenge and overtake Waymo’s scale with its own Robotaxi fleet.

While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service. During the third quarter earnings call, he confirmed that the company expects to remove safety drivers from large parts of Austin by year-end, marking the biggest operational step forward for Tesla’s autonomous program to date.

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Tesla targets major Robotaxi expansions

Tesla’s Robotaxi pilot remains in its early phases, but Musk recently revealed that major deployments are coming soon. During his appearance on the All-In podcast, Musk said Tesla is pushing to scale its autonomous fleet to 1,000 cars in the Bay Area and 500 cars in Austin by the end of the year.

“We’re scaling up the number of cars to, what happens if you have a thousand cars? Probably we’ll have a thousand cars or more in the Bay Area by the end of this year, probably 500 or more in the greater Austin area,” Musk said.

With just two months left in Q4 2025, Tesla’s autonomous driving teams will face a compressed timeline to hit those targets. Musk, however, has maintained that Robotaxi growth is central to Tesla’s valuation and long-term competitiveness.

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