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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.
Elon Musk
Elon Musk shares updated Starship V3 maiden launch target date
The comment was posted on Musk’s official account on social media platform X.
SpaceX CEO Elon Musk shared a brief Starship V3 update in a post on social media platform X, stating the next launch attempt of the spacecraft could take place in about four weeks.
The comment was posted on Musk’s official account on social media platform X.
Musk’s update suggests that Starship Flight 12 could target a launch around early April, though the schedule will depend on several remaining milestones at SpaceX’s Starbase launch facility in Texas.
Among the key steps is testing and certification of the site’s new launch tower, launch mount, and tank farm systems. These upgrades will support the next generation of Starship vehicles.
Booster 19 is expected to roll to the launch site and be placed on the launch mount before returning to the production facility to receive its 33 Raptor engines. The booster would then return for a static fire test, which could mark the first time a Super Heavy booster equipped with Raptor V3 engines is fired on the pad.
Ship 39 is expected to undergo a similar preparation process. The vehicle will likely return to the production site to receive its six engines before heading to Massey’s test site for static fire testing.
Once both stages are prepared, the booster and ship will roll out to the launch site for the first full stack of a V3 Super Heavy and V3 Starship. A full wet dress rehearsal is expected to follow before any launch attempt.
Elon Musk has previously shared how SpaceX plans to eventually recover Starship’s upper stage using the launch tower’s robotic arms. Musk noted that the company will only attempt to catch the Starship spacecraft after two successful soft landings in the ocean. The approach is intended to reduce risk before attempting a recovery over land.
“Should note that SpaceX will only try to catch the ship with the tower after two perfect soft landings in the ocean. The risk of the ship breaking up over land needs to be very low,” Musk wrote in a post on X.
Such a milestone would represent a major step toward the full reuse of the Starship system, which remains a central goal for SpaceX’s long-term launch strategy.
News
Tesla opens first public Tesla Semi Megacharger site in Los Angeles
The development was highlighted in a post on social media platform X by the official Tesla Semi account.
Tesla has opened its first public Tesla Semi Megacharger site in Los Angeles. The station reportedly offers up to 750 kW charging speeds and is open to Tesla Semi customers.
The development was highlighted in a post on social media platform X by the official Tesla Semi account.
Tesla Semi Megachargers
The Los Angeles site seems to be the first public Tesla Semi Megacharger that is not located at a Tesla factory. It is also the third Megacharger site currently visible on Tesla’s map.
The Megacharger system is designed specifically for the Tesla Semi and is capable of delivering extremely high charging speeds to support long-haul trucking operations. Infrastructure such as this will likely play a key role in making the Semi competitive with diesel-powered transport trucks.
Tesla’s progress with the Semi has also drawn attention in recent days after Elon Musk biographer Ashlee Vance shared photos from inside the Tesla Semi factory near Giga Nevada. The images suggested that preparations for higher production volumes may be underway, hinting that a broader ramp of the Tesla Semi’s production indeed be approaching.
New deployment strategies
Tesla has continued expanding its broader charging network through several new strategies aimed at accelerating infrastructure deployment. One of these initiatives is the Supercharger for Business program, which allows third parties to purchase Tesla Supercharger equipment and deploy charging stations while still integrating with Tesla’s network.
The program recently marked a milestone in Alpharetta, Georgia, where the city deployed four 325 kW city-branded Superchargers near the Alpharetta Department of Public Safety on Old Milton Parkway. The chargers support the city’s Tesla Model Y police vehicles while also remaining accessible to the public.
As per a report from EVwire, the project was designed not only to support fleet charging but also to generate economic returns that could offset the city’s investment. Tesla’s Supercharger for Business program has already attracted several participants, including businesses and charging providers such as Suncoast Charging, Pie Safe bakery in Idaho, Francis Energy in Oklahoma, and Wawa convenience stores.
Elon Musk
The Boring Company’s Vegas Loop moves 82k riders during CONEXPO
The Loop’s feat was highlighted by The Boring Company in a post on its official account on social media platform X.
The Boring Company said its Vegas Loop system transported roughly 82,000 passengers during the recent CONEXPO-CON/AGG construction trade show in Las Vegas. The event was held at the Las Vegas Convention Center (LVCC) from March 3-7, 2026.
The Loop’s feat was highlighted by The Boring Company in a post on its official account on social media platform X.
CONEXPO-CON/AGG 2026
CONEXPO-CON/AGG is one of the largest construction trade shows in North America. This year’s event was quite impressive, attracting more than 140,000 construction professionals from 128 countries across the world.
Considering the number of this year’s attendees, the LVCC Loop seemed to have proven itself to be a very useful transportation solution. A video posted by The Boring Company on its official X account featured attendees expressing their enthusiasm for the underground transport system, with some stating that they would like to see similar tunnels across Las Vegas.
The LVCC Loop is only part of the greater Vegas Loop network, which is actively under construction.
New Vegas Loop extensions
One of the newest additions is a station at the Fontainebleau Las Vegas resort on the Strip. The station is located on level V-1 of the resort’s south valet area, according to a report from the Las Vegas Review-Journal. From the Fontainebleau, passengers can travel free of charge to stations serving the Las Vegas Convention Center, as well as to Loop stations at Encore and Westgate.
The system is also expanding beyond the Strip corridor. In December, The Boring Company began offering Vegas Loop rides to and from Harry Reid International Airport. These trips include a limited above-ground segment after receiving approval from the Nevada Transportation Authority to allow surface street travel tied to Loop operations.
The Boring Company President Steve Davis previously told the Review-Journal that the University Center Loop segment, which is currently under construction, is expected to open in the first quarter of 2026. The extension would allow Loop vehicles to travel beneath Paradise Road between the convention center and the airport, with a planned station just north of Tropicana Avenue.
Elon Musk shares updated Starship V3 maiden launch target date
Tesla opens first public Tesla Semi Megacharger site in Los Angeles
