News
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
FCC chair criticizes Amazon over opposition to SpaceX satellite plan
Carr made the remarks in a post on social media platform X.
U.S. Federal Communications Commission (FCC) Chairman Brendan Carr criticized Amazon after the company opposed SpaceX’s proposal to launch a large satellite constellation that could function as an orbital data center network.
Carr made the remarks in a post on social media platform X.
Amazon recently urged the FCC to reject SpaceX’s application to deploy a constellation of up to 1 million low Earth orbit satellites that could serve as artificial intelligence data centers in space.
The company described the proposal as a “lofty ambition rather than a real plan,” arguing that SpaceX had not provided sufficient details about how the system would operate.
Carr responded by pointing to Amazon’s own satellite deployment progress.
“Amazon should focus on the fact that it will fall roughly 1,000 satellites short of meeting its upcoming deployment milestone, rather than spending their time and resources filing petitions against companies that are putting thousands of satellites in orbit,” Carr wrote on X.
Amazon has declined to comment on the statement.
Amazon has been working to deploy its Project Kuiper satellite network, which is intended to compete with SpaceX’s Starlink service. The company has invested more than $10 billion in the program and has launched more than 200 satellites since April of last year.
Amazon has also asked the FCC for a 24-month extension, until July 2028, to meet a requirement to deploy roughly 1,600 satellites by July 2026, as noted in a CNBC report.
SpaceX’s Starlink network currently has nearly 10,000 satellites in orbit and serves roughly 10 million customers. The FCC has also authorized SpaceX to deploy 7,500 additional satellites as the company continues expanding its global satellite internet network.
Energy
Tesla Energy gains UK license to sell electricity to homes and businesses
The license was granted to Tesla Energy Ventures Ltd. by UK energy regulator Ofgem after a seven-month review process.
Tesla Energy has received a license to supply electricity in the United Kingdom, opening the door for the company to serve homes and businesses in the country.
The license was granted to Tesla Energy Ventures Ltd. by UK energy regulator Ofgem after a seven-month review process.
According to Ofgem, the license took effect at 6 p.m. local time on Wednesday and applies to Great Britain.
The approval allows Tesla’s energy business to sell electricity directly to customers in the region, as noted in a Bloomberg News report.
Tesla has already expanded similar services in the United States. In Texas, the company offers electricity plans that allow Tesla owners to charge their vehicles at a lower cost while also feeding excess electricity back into the grid.
Tesla already has a sizable presence in the UK market. According to price comparison website U-switch, there are more than 250,000 Tesla electric vehicles in the country and thousands of Tesla home energy storage systems.
Ofgem also noted that Tesla Motors Ltd., a separate entity incorporated in England and Wales, received an electricity generation license in June 2020.
The new UK license arrives as Tesla continues expanding its global energy business.
Last year, Tesla Energy retained the top position in the global battery energy storage system (BESS) integrator market for the second consecutive year. According to Wood Mackenzie’s latest rankings, Tesla held about 15% of global market share in 2024.
The company also maintained a dominant position in North America, where it captured roughly 39% market share in the region.
At the same time, competition in the energy storage sector is increasing. Chinese companies such as Sungrow have been expanding their presence globally, particularly in Europe.
Elon Musk
Elon Musk shares big Tesla Optimus 3 production update
According to Musk, Tesla is in the final stages of completing Optimus 3, which he described as one of the world’s most advanced humanoid robots.
Tesla CEO Elon Musk has stated that production of Optimus 3 could begin this summer. Musk shared the update in his interview at the Abundance Summit.
According to Musk, Tesla is in the final stages of completing Optimus 3, which he described as one of the world’s most advanced humanoid robots.
“We’re in the final stages of completion of Optimus 3, which is really going to be by far the most advanced robot in the world. Nothing’s even close. In fact, I haven’t even seen demos of robots that are as good as Optimus 3,” Musk said.
He also set expectations on the pace of Optimus 3’s production ramp, stating that the initial volumes of the humanoid robot will likely be very low. Musk did, however, also state that high production rates for Optimus 3 should be possible in 2027.
“I think we’ll start production on Optimus 3 this summer, but very slow at first, like sort of this classic S-curve ramp of manufacturing units versus time. And then, probably reach high volume production around summer next year,” he said.
Interestingly enough, the CEO hinted that Tesla is looking to iterate on the robot quickly, potentially releasing a new Optimus design every year.
“We’ll have Optimus 4 design complete next year. We’ll try to release a new robot design every year,” Musk stated.
Tesla has already outlined broader plans for scaling Optimus production beyond its first manufacturing line. Musk previously stated that Optimus 4 will be built at Gigafactory Texas at significantly higher production volumes.
Initial production lines for the robot are expected to be located at Tesla’s Fremont Factory, where the company plans to establish a line capable of producing up to 1 million robots per year.
A larger production ramp is expected to occur at Gigafactory Texas, where Musk has previously suggested could eventually support production of up to 10 million robots per year.
“We’re going to launch on the fastest production ramp of any product of any large complex manufactured product ever, starting with building a one-million-unit production line in Fremont. And that’s Line one. And then a ten million unit per year production line here,” Musk said previously.
The comments suggest that while Optimus 3 will likely begin production at Fremont, Tesla’s larger-scale manufacturing push could arrive with Optimus 4 at Gigafactory Texas.
FCC chair criticizes Amazon over opposition to SpaceX satellite plan
Tesla Energy gains UK license to sell electricity to homes and businesses
