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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 probe into popular Full Self-Driving feature closed by NHTSA

Actually Smart Summon allows owners to move their parked Tesla via a smartphone app remotely, directing the vehicle short distances in parking lots or private property while the driver supervises from the phone.

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Credit: YouTube/Hector Perez

A probe into a popular Tesla self-driving feature has been closed by the National Highway Traffic Safety Administration (NHTSA) after over a year of scrutiny from the government agency.

The NHTSA has officially closed its investigation into Tesla’s Actually Smart Summon (ASS) feature, marking a regulatory win for the electric vehicle maker after more than a year of scrutiny.

Here’s our coverage on the launch of the probe:

Tesla’s Actually Smart Summon feature under investigation by NHTSA

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The preliminary investigation, opened last January, examined roughly 2.59 million Tesla vehicles equipped with the feature across the Model S, Model X, Model 3, and Model Y lineups. ASS is not available for Cybertruck currently.

Actually Smart Summon allows owners to move their parked Tesla via a smartphone app remotely, directing the vehicle short distances in parking lots or private property while the driver supervises from the phone.

Here’s a clip of us using it:

Introduced as an upgrade to the original Smart Summon, the feature was designed to enhance convenience but drew attention after reports of low-speed incidents where vehicles bumped into stationary objects like posts, parked cars, or garage doors.

The NHTSA’s Office of Defects Investigation reviewed 159 incidents, including one formal Vehicle Owner’s Questionnaire complaint and media reports.

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Notably, all events occurred at very low speeds, resulted only in minor property damage, and involved zero injuries or fatalities. The agency determined that the incidents were “extremely rare”, a fraction of one percent across millions of Summon sessions, and did not indicate a systemic safety-related defect.

A key factor in the closure was Tesla’s proactive response through over-the-air (OTA) software updates.

During the probe, Tesla deployed at least six updates that improved camera-based object detection, enhanced neural network performance for obstacle recognition, and refined the system’s response to potential hazards. These iterative improvements, delivered wirelessly to the entire fleet, addressed the primary concerns around detection reliability and operator reaction time.

Critics of Tesla’s autonomous features had initially pointed to the crashes as evidence of rushed deployment, especially given the feature’s reliance on the company’s vision-only Full Self-Driving (FSD) stack. However, NHTSA’s decision to close the case without seeking a recall underscores the low-severity nature of the events and the effectiveness of software-based fixes in modern vehicles.

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It definitely has its flaws. I used ASS yesterday unsuccessfully:

However, improvements will come, and I’m confident in that.

The closure comes as Tesla continues to push boundaries with its autonomous driving ambitions, including unsupervised FSD rollouts and robotaxi initiatives. For owners, the ruling reinforces confidence in Actually Smart Summon as a convenient, low-risk tool rather than a hazardous experiment.

While broader NHTSA reviews of Tesla’s higher-speed FSD capabilities remain ongoing, this outcome highlights how data-driven analysis and rapid OTA remediation can satisfy regulators in the evolving landscape of automated driving technology.

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Tesla has not issued an official statement on the closure, but the move is widely viewed as bullish for the company’s autonomy roadmap, reducing one layer of regulatory overhang and allowing focus on further refinements.

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Tesla uses Model S and X ‘sentimental’ value to enforce massive pricing move

By slashing production and creating immediate scarcity, the company has transformed these remaining vehicles into limited-edition relics. The price hike is not driven by rising material costs or new features.

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Credit: Tesla

Tesla is using the “sentimental” value that CEO Elon Musk talked about with the Model S and Model X to enforce one of the most massive pricing moves it has ever applied as it begins to phase out the flagship vehicles.

Tesla quietly executed one of its most calculated pricing plays yet. After officially ending production of the Model S and Model X, the company raised prices on every remaining new and demo unit by roughly $15,000.

The refreshed starting prices now sit at:

  • $109,990 for the Model S AWD
  • $124,900 for the Model S Plaid
  • $114,900 for the Model X AWD
  • $129,900 for the Model X Plaid

Every vehicle comes fully loaded with the Luxe Package, Full Self-Driving Supervised, four years of premium connectivity and service, and lifetime free Supercharging. What looks like a simple inventory adjustment is, in reality, a masterclass in monetizing nostalgia.

These are not ordinary cars. For many owners, the Model S and Model X represent the purest expression of Tesla’s original promise—the sleek, over-engineered flagships that proved electric vehicles could be faster, quieter, and more desirable than their gasoline counterparts.

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Tesla removes Model S and X custom orders as sunset officially begins

They are the vehicles that carried Elon Musk’s vision from Silicon Valley startup to global automaker.

The final units rolling off the line carry an emotional weight that numbers alone cannot capture. Buyers are not simply purchasing transportation; they are acquiring a piece of Tesla history, the last examples of the very models that defined the brand’s first decade.

Tesla, with this move, understands this sentiment deeply.

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By slashing production and creating immediate scarcity, the company has transformed these remaining vehicles into limited-edition relics. The price hike is not driven by rising material costs or new features.

It is driven by the knowledge that a certain segment of buyers, loyalists, collectors, and enthusiasts, will pay a premium precisely because these cars are about to disappear. The strategy converts emotional attachment into margin.

Where other automakers might discount outgoing models to clear lots, Tesla is betting that sentiment is worth more than volume.

The move also quietly rewards existing owners. Scarcity instantly boosts resale values for the hundreds of thousands of Model S and X already on the road, reinforcing brand loyalty among the very people who helped build Tesla’s reputation.

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In the end, Tesla’s pricing decision reveals a sophisticated understanding of its audience. As the company pivots toward next-generation platforms, it has found a way to extract one final, lucrative chapter from its heritage.

For buyers willing to pay the new prices, the premium is not just for the car; it is for the feeling of owning the last true originals. Tesla has turned sentiment into strategy, and in the process, reminded everyone that even in the EV era, emotion remains a powerful line on the balance sheet.

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Tesla broadens most-wanted Model Y to eight new markets

This rollout targets Asia’s booming EV adoption, driven by family buyers seeking practicality without sacrificing performance or luxury. It positions Tesla against rising local competitors offering affordable three-row options.

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Credit: Tesla China

Tesla has broadened the availability of the most-wanted Model Y trim to eight new Asian markets, expanding the footprint of what is one of the most highly requested vehicle configurations in the U.S.

Tesla has officially launched ordering for the Model Y L, its long-wheelbase six-seater electric SUV, across eight key Asian territories: Japan, South Korea, Hong Kong, Macau, Singapore, Thailand, Malaysia, and the Philippines.

The announcement signals a major expansion for the family-oriented variant first introduced in China in August 2025. In Thailand, Malaysia, and the Philippines, the vehicle had already been previewed at several motor shows, so fans in the area were familiar with the Model Y L and its distinct differences to the standard-sized trims.

Local pricing reflects taxes, incentives, and import duties. Malaysia estimates RM260,000 with Q2 2026 deliveries; Singapore lists S$248,999 (including COE); Macau prices at 398,750 patacas. Similar competitive positioning is expected in Japan, South Korea, Hong Kong, Thailand, and the Philippines, where the Model Y L undercuts many traditional three-row SUVs while offering full EV benefits.

This rollout targets Asia’s booming EV adoption, driven by family buyers seeking practicality without sacrificing performance or luxury. It positions Tesla against rising local competitors offering affordable three-row options.

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Notably, the Model Y L remains unavailable in the U.S. market, where demand for a stretched Model Y has been high. Although CEO Elon Musk said that something “way cooler than a minivan” is on the way in the U.S., the dimensions of the Model Y L simply fit the needs of many American families.

Elon Musk says Tesla is developing a new vehicle: ‘Way cooler than a minivan’

The Model Y L stands out with its stretched dimensions: 4,976 mm long and a 3,040 mm wheelbase—179 mm and 150 mm longer, respectively, than the standard Model Y. Height increases slightly to 1,668 mm, creating a true three-row, 2+2+2 layout with individual captain’s chairs in the second row for easier third-row access.

Maximum cargo capacity reaches 2,539 liters with seats folded, making it ideal for growing families or those needing versatile space in dense urban environments. But it’s not just a grocery-getter or a kid-hauler: The performance matches Tesla’s reputation.

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Dual-motor all-wheel drive delivers 0-100 km/h acceleration in about 5.0 seconds (or 4.5 seconds in some market specs), with a top speed of 201 km/h. The vehicle boasts a WLTP-rated range of up to 681 km, supported by an approximately 88-97 kWh battery pack (market-dependent) and 250 kW DC fast charging.

With deliveries slated for Q2 2026 and strong early interest mirroring China’s rapid pre-orders, the Model Y L could become a bestseller in these dynamic markets. Tesla’s targeted expansion essentially generalizes its commitment to tailoring vehicles to regional needs while advancing sustainable mobility across Asia.

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