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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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Tesla Robotaxi gets a small but significant change
In the world of Tesla, where billion-dollar battery breakthroughs and autonomy milestones dominate headlines, a quiet design update can still pack a punch.
In the world of Tesla, where billion-dollar battery breakthroughs and autonomy milestones dominate headlines, a quiet design update can still pack a punch.
Last week in downtown Austin, sharp-eyed observers spotted a subtle but telling evolution on the Cybercab: a new “ROBOTAXI” logo graphic now graces the vehicle’s doors at Tesla’s Autonomy Popup.
What looks at first glance like a minor stylistic choice is, in fact, a deliberate rebranding move that hints at how the company envisions its robotaxi fleet fitting into everyday life.
The updated lettering is bold, graffiti-inspired, and unapologetically street-smart. Rendered in black with dripping white accents and a glowing yellow outline, the font evokes urban energy and playful irreverence.
Live From Downtown Austin:
Tesla Cybercab with new logo Graphic at their Autonomy Popup pic.twitter.com/MTTb9KDr3b
— David Moss (@DavidMoss) March 13, 2026
Gone is the sleek, minimalist typography that defined earlier Cybercab prototypes. In its place is something more human, almost rebellious.
The new logo pops against the Cybercab’s smooth, metallic body, turning the autonomous pod into a rolling piece of public art rather than just another futuristic taxi.
Designers know that fonts are silent brand ambassadors. They shape perception before a single ride is taken. Tesla’s classic sans-serif aesthetic screams precision engineering and Silicon Valley cool.
The new Robotaxi script leans into accessibility and fun, suggesting the vehicle is approachable, not intimidating. For a product meant to ferry strangers through city streets 24/7, that matters. It signals that the robotaxi isn’t reserved for tech elites; it’s for everyone.
Tesla Cybercab spotted next to Model Y shows size comparison
The timing is no accident. With regulatory approvals for unsupervised autonomy advancing and Tesla preparing to scale Cybercab production, the company is shifting from prototype showcase to fleet deployment.
A fresh logo helps differentiate the vehicles visually in dense urban environments—crucial for rider recognition and brand recall. It also aligns with Elon Musk’s long-standing ethos: make the future feel exciting, not sterile.
Small changes like this often foreshadow a larger strategy. Tesla has always obsessed over details—door handles, screen interfaces, even the curvature of a steering wheel.
Updating the Robotaxi font reflects the same meticulous care now applied to consumer-facing autonomy. It’s not just paint on metal; it’s a statement that the ride of the future should feel personal, memorable, and undeniably cool.
In an industry racing toward self-driving fleets, Tesla’s willingness to evolve even the smallest visual cues shows confidence. A font won’t launch the robotaxi network, but it might just help millions climb aboard with a smile.
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Tesla makes latest announcement on Model S and Model X
The announcement follows Tesla CEO Elon Musk’s statement on the Q4 2025 earnings call in late January. Musk described the decision as an “honorable discharge” for the two vehicles, noting that production would wind down in Q2 2026.
Tesla has officially begun winding down production of its flagship Model S and Model X in the United States, notifying owners via email that the long-running models will soon reach the end of the line.
The email, sent to U.S. customers on March 27, opens with gratitude. “Model S and Model X marked the beginning of the world’s transition to electric transportation,” it reads. “These vehicles also made it possible for Tesla to develop the technology that would move our world toward autonomy.”
It then delivers the news directly: “As we make way for this autonomous future, Model S and Model X production will be ending. If you’d like to bring home a new Model S or Model X, order yours soon from our limited inventory.”
Tesla just sent out a new email thanking Model S/X owners.
“These vehicles made it possible for Tesla to develop the technology that would move our world toward autonomy. As we make way for this autonomous future, Model S and Model X production will be ending. If you’d like to… pic.twitter.com/IeUhZ3iDnX
— Sawyer Merritt (@SawyerMerritt) March 27, 2026
The message closes with a simple thank-you: “Thank you for being part of our journey.”
The announcement follows Tesla CEO Elon Musk’s statement on the Q4 2025 earnings call in late January. Musk described the decision as an “honorable discharge” for the two vehicles, noting that production would wind down in Q2 2026.
The move frees factory floor space at Fremont, California, for next-generation manufacturing, including Optimus humanoid robots and the upcoming Robotaxi platform.
Introduced in 2012 and 2015, respectively, the Model S and Model X were Tesla’s original halo cars. They proved EVs could outperform gasoline luxury vehicles in acceleration, range, and tech features while pioneering over-the-air updates and early autonomy hardware.
Although they never matched the volume of the Model 3 and Model Y, their engineering breakthroughs laid the foundation for the company’s current lineup and full self-driving development.
Early adopters highlighted how the cars convinced them to invest in Tesla stock and the EV movement. Some U.S. owners who had not yet received the note voiced mild frustration, and international customers confirmed the outreach remains U.S.-only for now.
Tesla has not detailed an exact final production date beyond the Q2 2026 target or confirmed immediate replacements. Speculation continues about a possible Cybertruck-derived SUV, but the company’s public focus has shifted squarely to autonomy and robotics.
For buyers still interested in the S or X, the window is closing. Inventory is described as limited, and Tesla’s Korean division has already set a March 31 cutoff for new orders in that market. The email serves as both a farewell and final sales push, an elegant close to a chapter that helped define modern electric driving.
Elon Musk
Tesla drives drunk owner while he naps, Police still arrest him on DUI
A Vacaville man let his Tesla drive while he napped, but police had other ideas.
![Tesla drives drunk owner, Police arrest on DUI [Credit: Vacaville Police via Facebook]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-fsd-drunk-driver-dui-arrest-e1774678014371.jpg)
A Northern California man found a creative solution to drunk driving this week by letting his Tesla drive him around while he took a booze snooze. Police in Vacaville arrested a man on a DUI charge after he was found, what appears to be, completely passed out behind the wheel of a Tesla Model Y, which was safely self-navigating the owner through busy streets. The man’s passenger seat told the rest of the story, with a four-pack of Sutter Home wine bottles and a box of Round Table pizza clearly visible.
According to the Vacaville Police Department, as posted through their Facebook page, a concerned community member spotted the very relaxed driver, stayed on the line with dispatch, and guided officers to the intersection of Elmira Road and Shasta Drive where they stopped the vehicle. Alcohol and marijuana were confirmed. No medical emergency, and what appears to be just an extremely committed drunken nap.
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![Tesla drives drunk owner, Police arrest on DUI [Credit: Vacaville Police via Facebook]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-fsd-drunk-driver-dui-arrest-e1774678014371-300x259.jpg)
- Tesla drives drunk owner, Police arrest on DUI [Credit: Vacaville Police via Facebook]
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- Tesla drunk driver passenger seat , Police arrest on DUI [Credit: Vacaville Police via Facebook]
The Vacaville Police noted that California permits drivers to use assistive driving features like Tesla’s FSD, but the law still requires them to be “conscious, alert, and not under the influence while operating them.” The post drew some humorous reactions in the comments section, with one commenter piping in, “That time when his vehicle had more situational awareness than he did.” Another commenter chimed in, “Sutter all the way home….”
Tesla Full Self-Driving v14.2.1 texting and driving: we tested it
The incident lands in an interesting moment for Tesla. Elon Musk caused his own stir in December 2025 when he responded to a user question about whether FSD v14.2.1 allowed texting behind the wheel with a simple “Depending on context of surrounding traffic, yes.” He had earlier told investors that drivers turning off autopilot to check texts while steering with their knees was “significantly less safe” than simply letting FSD run, which he called “kind of the killer app.” Neither statement included anything about Sutter Home wine being part of the equation.
Tesla Robotaxi gets a small but significant change
Tesla makes latest announcement on Model S and Model X
![Tesla drives drunk owner, Police arrest on DUI [Credit: Vacaville Police via Facebook]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-fsd-drunk-driver-dui-arrest-e1774678014371-80x80.jpg)
Tesla drives drunk owner while he naps, Police still arrest him on DUI
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