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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.
Tesla is continuing to refine and improve its Robotaxi program from A to Z, and it is now going to make some sweeping changes to the smartphone app portion of the suite.
The company is aiming to make some sweeping changes with the release of Robotaxi app version 26.4.5, which was recently decompiled by Tesla App Updates on X. The update reveals significant new code, focused on remote operations, safety protocols, and seamless autonomous ride-hailing.
These improvements evidently signal Tesla’s preparations for scaling unsupervised Cybercab deployments, particularly the steering wheel-less variants spotted in production. The enhancements emphasize providing a reliable experience that gives passengers support when needed, along with operational efficiency.
Version 26.4.5 of the Robotaxi app has been de-compiled and we’ve got some interesting things added this update (https://t.co/jInbED7fOv):
– Remote Operator Voice Calls 📞
– Proactive Remote Assistance 🤖
– Manual Override + Remote Start for wheel-less Cybercabs 🎮
-…
— Tesla App Updates (iOS) (@Tesla_App_iOS) May 16, 2026
Remote Operator Voice Calls
One standout addition is support for remote operator voice calls. The app now includes a dedicated native voice-communication system linking passengers directly to Tesla teleoperators via the vehicle’s cabin microphone and speakers.
This feature allows real-time assistance during rides, addressing issues like navigation questions or comfort adjustments without disrupting the autonomous journey. It builds on existing support protocols, making human intervention more accessible and intuitive.
Proactive Remote Assistance
The update introduces proactive remote assistance capabilities. Rather than waiting for passenger-initiated requests, the system can anticipate and offer help based on monitored conditions.
This might include something like suggesting route changes, climate adjustments, or addressing potential delays. By integrating AI-driven monitoring with human oversight, Tesla aims to deliver a smoother, more attentive experience that exceeds traditional ride-sharing services.
Manual Override and Remote Start for Steering Wheel-less Cybercabs
A key highlight for the wheel-less Cybercab fleet is manual override plus remote start functionality. Fleet operators and technicians can now temporarily take control or remotely start vehicles lacking steering wheels. This is crucial for lower-speed maneuvers, such as getting vehicles from tight parking situations or even performing maintenance.
Controls are strictly limited for safety–typically to speeds under 2 MPH–ensuring these interventions remain emergency measures only.
Tesla is adding a secure “Enable Manual Drive” mode that will allow those fleet operators or others to take control temporarily.
Additionally, a Remote Start feature, which authorizes an empty vehicle to begin a driverless ride alone.
Ride-Hailing and Dispatch Features
Ride dispatch has been enhanced with soft-matching and multi-stop support. The app can intelligently pair riders with available Cybercabs while accommodating multiple destinations in a single trip.
This optimizes fleet utilization, reduces wait times, and improves efficiency for shared rides. Soft-matching likely considers factors like proximity, rider preferences, and vehicle availability for better user satisfaction.
Rider-Cabin Sync, Real-Time Routing
New synchronization tools allow the rider’s app to mirror and control cabin settings like seating, climate, and entertainment directly from their phone. Real-time routing updates adapt dynamically to traffic or road conditions, while dynamic safety monitoring continuously assesses the environment.
The app can now push updates directly to the main screen, enabling Center Display Control. Additionally, there is a dedicated navigation protocol sharing the exact coordinates of road closures and construction, which could prevent the car from getting stuck and needing manual override.
These features create a cohesive, responsive experience where the vehicle and app work in harmony.
Kill Switch
A high-security command lets Tesla completely freeze a vehicle’s ability to drive. This would take the vehicle out of the Robotaxi fleet for any reason Tesla sees fit, and would not allow it to be put into gear even with the correct equipment, like valid keys.
Elon Musk
SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history
AT&T, T-Mobile, and Verizon just joined forces for one reason: Starlink is winning.
America’s three largest wireless carriers, AT&T, T-Mobile, and Verizon, announced on On May 14, 2026 that they had agreed in principle to form a joint venture aimed at pooling their spectrum resources to expand satellite-based direct-to-device (D2D) connectivity across the United States in what can be seen as a direct response to SpaceX’s Starlink initiative. D2D, in plain terms, is technology that lets a standard smartphone connect directly to a satellite in orbit, the same way it connects to a cell tower, with no extra hardware required.
The alliance is widely seen as a means to slow Starlink’s rapid expansion in the satellite internet and mobile markets. SpaceX’s Starlink Mobile service launched commercially in July 2025 through a partnership with T-Mobile, starting with messaging before expanding to broadband data. SpaceX secured access to valuable wireless spectrum through its $17 billion deal with EchoStar, paving the way for significantly faster satellite-to-phone speeds.
SpaceX was not shy about its reaction. SpaceX president and COO Gwynne Shotwell responded on X: “Weeeelllll, I guess Starlink Mobile is doing something right! It’s David and Goliath (X3) all over again — I’m bettin’ on David.” SpaceX’s VP of Satellite Policy David Goldman went further, flagging potential antitrust concerns and asking whether the DOJ would even allow three dominant competitors to coordinate in a market where a new rival is actively entering.
Weeeelllll, I guess @Starlink Mobile is doing something right! It’s David and Goliath (X3) all over again — I’m bettin’ on David 🙂 https://t.co/5GzS752mxL
— Gwynne Shotwell (@Gwynne_Shotwell) May 14, 2026
Financial analysts at LightShed Partners were blunt, saying the announcement showed the three carriers are “nervous,” and pointed to the timing: “You announce an agreement in principle when the point is the announcement, not the deal. The timing, weeks ahead of the SpaceX roadshow, was the point.”
As Teslarati reported, SpaceX’s next generation Starlink V2 satellites will deliver up to 100 times the data density of the current system, with custom silicon and phased array antennas enabling around 20 times the throughput of the first generation. The carriers’ JV, which has no definitive agreement, no financial structure, and no deployment timeline yet, will need to move quickly to matter.
Elon Musk’s SpaceX is targeting a Nasdaq listing as early as June 12, aiming for what would be the largest IPO in history. With Starlink now serving over 9 million subscribers across 155 countries, holding 59 carrier partnerships globally, and now powering Air Force One, the carriers’ joint venture announcement landed at exactly the wrong time to look like anything other than a defensive move.
Tesla just raised Model Y prices for the first time in two years, with the largest increase being $1,000.
The move signals shifting dynamics in the competitive electric vehicle market as the company continues to work on balancing demand, profitability, and accessibility.
The new pricing affects premium trims while leaving entry-level options unchanged. The Model Y Premium Rear-Wheel Drive (RWD) now starts at $45,990, a $1,000 increase.
The Model Y Premium All-Wheel Drive (AWD)—previously referred to in the post as simply “Model Y AWD”—rises to $49,990, also up $1,000. The top-tier Model Y Performance sees a more modest $500 bump, bringing its starting price to $57,990.
Tesla Model Y prices just went up:
New prices:
🚗 Model Y Premium RWD: $45,990 – up $1,000
🚗 Model Y AWD: $49,990 – up $1,000
🚗 Model Y Performance: $57,990 – up $500 https://t.co/e4GhQ0tj4H pic.twitter.com/TCWqr3oqiV— TESLARATI (@Teslarati) May 16, 2026
Base models remain untouched to preserve affordability. The entry-level Model Y RWD holds steady at $39,990, and the base Model Y AWD stays at $41,990. This selective approach keeps the crossover accessible for budget-conscious buyers while extracting more revenue from higher-margin configurations.
After years of aggressive price cuts to stimulate volume amid slowing EV adoption and rising competition from rivals like BYD, Ford, and GM, Tesla appears confident in underlying demand. Recent lineup refreshes for the 2026 Model Y, including refreshed styling and efficiency gains, have helped maintain its status as America’s best-selling EV.
By protecting base prices, Tesla avoids alienating price-sensitive customers while improving margins on the more popular variants.
Tesla Model Y ownership review after six months: What I love and what I don’t
For consumers, the changes are relatively modest—under 3% on affected trims—and still position the Model Y competitively against gas-powered SUVs in the same class. Federal tax credits and potential state incentives may further offset costs for eligible buyers.
This marks a subtle but notable shift from the deep discounting era that defined much of 2024 and 2025. As the EV market matures into 2026, Tesla’s pricing strategy will be closely watched for clues about production ramps, new variants like the rumored longer-wheelbase Model Y, and broader profitability goals.
In short, today’s adjustment reflects a company that remains dominant yet pragmatic—willing to test higher pricing where demand supports it. It is unlikely to deter consumers from choosing other options.
Tesla is making sweeping improvements to Robotaxi
Starship V3 is here putting SpaceX closer to Mars than it has ever been
