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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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Starlink achieves major milestones in 2025 progress report

Starlink wrapped up 2025 with impressive growth, adding more than 4.6 million new active customers and expanding service to 35 additional countries, territories, and markets.

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Credit: Starlink/X

Starlink wrapped up 2025 with impressive growth, adding more than 4.6 million new active customers and expanding service to 35 additional countries, territories, and markets. The company also completed deployment of its first-generation Direct to Cell constellation, launching over 650 satellites in just 18 months to enable cellular connectivity.

SpaceX highlighted Starlink’s impressive 2025 progress in an extensive report.

Key achievements from Starlink’s 2025 Progress

Starlink connected over 4.6 million new customers with high-speed internet while bringing service to 35 more regions worldwide in 2025. Starlink is now connecting 9.2 million people worldwide. The service achieved this just weeks after hitting its 8 million customer milestone.

Starlink is now available in 155 markets, including areas that are unreachable by traditional ISPs. As per SpaceX, Starlink has also provided over 21 million airline passengers and 20 million cruise passengers with reliable high-speed internet connectivity during their travels.

Starlink Direct to Cell

Starlink’s Direct to Cell constellation, more than 650 satellites strong, has already connected over 12 million people at least once, marking a breakthrough in global mobile coverage.
Starlink Direct to Cell is currently rolled out to 22 countries and 6 continents, with over 6 million monthly customers. Starlink Direct to Cell also has 27 MNO partners to date.

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This year, SpaceX completed deployment of the first generation of the Starlink Direct to Cell constellation, with more than 650 satellites launched to low-Earth orbit in just 18 months. Starlink Direct to Cell has connected more than 12 million people, and counting, at least once, providing life-saving connectivity when people need it most,” SpaceX wrote.

starlinkProgressReport_2025 by Simon Alvarez

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Tesla Giga Nevada celebrates production of 6 millionth drive unit

To celebrate the milestone, the Giga Nevada team gathered for a celebratory group photo. 

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Tesla’s Giga Nevada has reached an impressive milestone, producing its 6 millionth drive unit as 2925 came to a close.

To celebrate the milestone, the Giga Nevada team gathered for a celebratory group photo. 

6 million drive units

The achievement was shared by the official Tesla Manufacturing account on social media platform X. “Congratulations to the Giga Nevada team for producing their 6 millionth Drive Unit!” Tesla wrote. 

The photo showed numerous factory workers assembled on the production floor, proudly holding golden balloons that spelled out “6000000″ in front of drive unit assembly stations. Elon Musk gave credit to the Giga Nevada team, writing, “Congrats on 6M drive units!” in a post on X.

Giga Nevada’s essential role

Giga Nevada produces drive units, battery packs, and energy products. The facility has been a cornerstone of Tesla’s scaling since opening, and it was the crucial facility that ultimately enabled Tesla to ramp the Model 3 and Model Y. Even today, it serves as Tesla’s core hub for battery and drivetrain components for vehicles that are produced in the United States.

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Giga Nevada is expected to support Tesla’s ambitious 2026 targets, including the launch of vehicles like the Tesla Semi and the Cybercab. Tesla will have a very busy 2026, and based on Giga Nevada’s activities so far, it appears that the facility will be equally busy as well.

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Tesla Supercharger network delivers record 6.7 TWh in 2025

The network now exceeds 75,000 stalls globally, and it supports even non-Tesla vehicles across several key markets.

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tesla-diner-supercharger
Credit: Tesla

Tesla’s Supercharger Network had its biggest year ever in 2025, delivering a record 6.7 TWh of electricity to vehicles worldwide. 

To celebrate its busy year, the official @TeslaCharging account shared an infographic showing the Supercharger Network’s growth from near-zero in 2012 to this year’s impressive milestone.

Record 6.7 TWh delivered in 2025

The bar chart shows steady Supercharger energy delivery increases since 2012. Based on the graphic, the Supercharger Network started small in the mid-2010s and accelerated sharply after 2019, when the Model 3 was going mainstream. 

Each year from 2020 onward showed significantly more energy delivery, with 2025’s four quarters combining for the highest total yet at 6.7 TWh.

This energy powered millions of charging sessions across Tesla’s growing fleet of vehicles worldwide. The network now exceeds 75,000 stalls globally, and it supports even non-Tesla vehicles across several key markets. This makes the Supercharger Network loved not just by Tesla owners but EV drivers as a whole.

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Resilience after Supercharger team changes

2025’s record energy delivery comes despite earlier 2024 layoffs on the Supercharger team, which sparked concerns about the system’s expansion pace. Max de Zegher, Tesla Director of Charging North America, also highlighted that “Outside China, Superchargers delivered more energy than all other fast chargers combined.”

Longtime Tesla owner and FSD tester Whole Mars Catalog noted the achievement as proof of continued momentum post-layoffs. At the time of the Supercharger team’s layoffs in 2024, numerous critics were claiming that Elon Musk was halting the network’s expansion altogether, and that the team only remained because the adults in the room convinced the juvenile CEO to relent.

Such a scenario, at least based on the graphic posted by the Tesla Charging team on X, seems highly implausible. 

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