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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.
News
SpaceX launches Ax-4 mission to the ISS with international crew
The SpaceX Falcon 9 launched Axiom’s Ax-4 mission to ISS. Ax-4 crew will conduct 60+ science experiments during a 14-day stay on the ISS.

SpaceX launched the Falcon 9 rocket kickstarting Axiom Space’s Ax-4 mission to the International Space Station (ISS). Axiom’s Ax-4 mission is led by a historic international crew and lifted off from Kennedy Space Center’s Launch Complex 39A at 2:31 a.m. ET on June 25, 2025.
The Ax-4 crew is set to dock with the ISS around 7 a.m. ET on Thursday, June 26, 2025. Axiom Space, a Houston-based commercial space company, coordinated the mission with SpaceX for transportation and NASA for ISS access, with support from the European Space Agency and the astronauts’ governments.
The Ax-4 mission marks a milestone in global space collaboration. The Ax-4 crew, commanded by U.S. astronaut Peggy Whitson, includes Shubhanshu Shukla from India as the pilot, alongside mission specialists Sławosz Uznański-Wiśniewski from Poland and Tibor Kapu from Hungary.
“The trip marks the return to human spaceflight for those countries — their first government-sponsored flights in more than 40 years,” Axiom noted.
Shukla’s participation aligns with India’s Gaganyaan program planned for 2027. He is the first Indian astronaut to visit the ISS since Rakesh Sharma in 1984.
Axiom’s Ax-4 mission marks SpaceX’s 18th human spaceflight. The mission employs a Crew Dragon capsule atop a Falcon 9 rocket, designed with a launch escape system and “two-fault tolerant” for enhanced safety. The Axiom mission faced a few delays due to weather, a Falcon 9 leak, and an ISS Zvezda module leak investigation by NASA and Roscosmos before the recent successful launch.
As the crew prepares to execute its scientific objectives, SpaceX’s Ax-4 mission paves the way for a new era of inclusive space research, inspiring future generations and solidifying collaborative ties in the cosmos. During the Ax-4 crew’s 14-day stay in the ISS, the astronauts will conduct nearly 60 experiments.
“We’ll be conducting research that spans biology, material, and physical sciences as well as technology demonstrations,” said Whitson. “We’ll also be engaging with students around the world, sharing our experience and inspiring the next generation of explorers.”
SpaceX’s Ax-4 mission highlights Axiom’s role in advancing commercial spaceflight and fostering international partnerships. The mission strengthens global space exploration efforts by enabling historic spaceflight returns for India, Poland, and Hungary.
News
Watch the first true Tesla Robotaxi intervention by safety monitor
Watch the first Tesla Robotaxi intervention by a safety monitor.

Nearly 60 hours into the launch of the Tesla Robotaxi platform, it appears we have our first true intervention that required the in-car safety monitor to intervene.
We’ve seen and heard about a handful of minor issues with the Robotaxi fleet thus far, one of which included a risky, but very human-like behavior of navigating across yellow lines to a turn lane after missing a turn.
While that is not necessarily a legal maneuver, it is something that you’d see commonly from human drivers, and although aggressive, it is sometimes reasonable to perform depending on traffic conditions.
For what it’s worth, the car seemed very confused by the situation, and while the safety monitor did not get involved and the car handled the situation with no real issue, it is something as a rider you’d like to see less of.
First Look at Tesla’s Robotaxi App: features, design, and more
As previously stated, that specific example did not require any intervention by a safety monitor. On Tuesday, we saw a video of the first true intervention that required the safety monitor who sits in the passenger seat to intervene by pressing a button on the center touchscreen.
During a ride that Tesla investor and YouTuber Dave Lee was taking in Austin in a Robotaxi, the vehicle seemed to get a little confused by a UPS truck that was parallel parking in front of it. The monitor pressed the “Stop in Lane” button on the touchscreen:
This is the first intervention we’ve seen with Robotaxi (via @heydave7): https://t.co/5mp431Z5P8 pic.twitter.com/B9ji3iLa3a
— TESLARATI (@Teslarati) June 24, 2025
This appears to be one of the first errors shared by Tesla Robotaxi Early Access Program users that required the monitor to actually intervene. We have not seen any of it yet. You could also see the UPS truck is also a bit at fault here, as the space it pulled into did not seem even remotely large enough to fit the entire vehicle.
The car may not have anticipated that the truck would park there. You can see how the UPS truck was parked below, and it seems reasonable that the Tesla might not have thought it would attempt to fit there:

Credit: Dave Lee
The Model Y’s steering wheel was also turning sharply right into this spot, it appears. Dave ended his ride here, and stated that this was his dropoff spot. The UPS truck might have just cut off the Tesla, which led to the intervention.
It is a testament to Tesla’s strategy with this Robotaxi rollout. The company is obviously confident enough in the Full Self-Driving suite that it does not feel a human needs to be in the driver’s seat. However, it is still requiring someone, as of now, to sit in the passenger’s seat for instances just like this one.
Safety is the company’s priority with the launch of Robotaxi, and CEO Elon Musk has reiterated that. It is expected that we’d eventually see some kind of intervention that requires a monitor to step in. Everyone was safe.
Obviously, these things happen with autonomous vehicles. We’ve seen Waymos get stuck at intersections in very strange scenarios at times:
Waymo turned into oncoming traffic on the way to work.
It sat there confused for 45 seconds with its hazards on.
Then it proceeded to back up into oncoming traffic.
And they’re about to let these guys on the freeway 😂 pic.twitter.com/ZLRKx2loo1
— Jake Glaser | LA Multifamily (@LAMultiBroker) January 31, 2025
It is proof that autonomous tech is still in a growth phase and engineers are still learning about its capabilities. Tesla and other companies will learn from these rare cases and become better companies, and offer safer technologies because of it.
News
Tesla removed from Charlotte’s approved EV list due to ‘safety issues’
City reps say it’s not because of Elon Musk’s political involvement, but instead because of safety issues.

Tesla has been removed from the Charlotte, North Carolina, City Council’s list of pre-approved electric vehicles that the city can purchase.
It’s not because of Elon Musk, Democratic council member LaWana Mayfield said, who urged her colleagues to remove Tesla. Instead, she claims it is because of “safety issues.”
She said (via WFAE):
“So it is not just the particular owner of this product. It is the fact that this product has been in multiple lawsuits because of safety issues, and there are multiple concerns.”
Recent data from Tesla shows that its vehicles are about half as likely to be involved in an accident when being driven normally. When Autopilot technology is used, it is about ten times safer than the average driver in the U.S., statistically.
Tesla Vehicle Safety Report shows Autopilot is 10x better than humans
Republican City Council member Ed Driggs stood up for Tesla, saying that:
“I think we just set a dangerous precedent if we have reasons that aren’t related to the cost and the performance of purchased items for excluding them. We already have Teslas in the fleet.”
If they’re so dangerous, why are they already in the fleet?
The NHTSA also shows that Ford is the most recalled car company in 2025, with 81 total recalls. Tesla has just five for the year.
Driggs said to Mayfield during the meeting:
“We are not identifying names on this list. You are singling out one name on this list for political reasons. You don’t have enough data on Tesla compared to the other car companies to suggest they shouldn’t be here. I object to trying to disguise this as anything other than a politically motivated desire to not have this name on this list.”
Tesla was successfully removed by a 6-3 vote. Democrats Danté Anderson, Malcolm Graham, Renee Johnson, Victoria Watlington, and Tiawana Brown supported Tesla’s removal. Republican Edwin Peacock, along with Driggs and Democrat Dimple Ajmera, all voted no on removing Tesla.
The City of Charlotte will buy 45 new electric vehicles, and Teslas would likely be the best option. Many local law enforcement agencies across the U.S. have utilized them and have shown that the vehicles contribute to massive maintenance and cost of ownership reductions due to the lack of overall upkeep.
Tesla police fleet is saving taxpayers $80k per year on fuel costs: report
This is not the first time that a city in the U.S. has chosen to go in a different direction with its EV fleet plans. Tesla was chosen over Ford by the City of Baltimore for a $5 million expenditure that would bolster its fleet with EVs.
However, earlier this year, Baltimore said it “decided to go in a different direction,” and although it was not directly confirmed, the move seemed to be political.
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