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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
Starlink terminals smuggled into Iran amid protest crackdown: report
Roughly 6,000 units were delivered following January’s unrest.
The United States quietly moved thousands of Starlink terminals into Iran after authorities imposed internet shutdowns as part of its crackdown on protests, as per information shared by U.S. officials to The Wall Street Journal.
Roughly 6,000 units were delivered following January’s unrest, marking the first known instance of Washington directly supplying the satellite systems inside the country.
Iran’s government significantly restricted online access as demonstrations spread across the country earlier this year. In response, the U.S. purchased nearly 7,000 Starlink terminals in recent months, with most acquisitions occurring in January. Officials stated that funding was reallocated from other internet access initiatives to support the satellite deployment.
President Donald Trump was aware of the effort, though it remains unclear whether he personally authorized it. The White House has not issued a comment about the matter publicly.
Possession of a Starlink terminal is illegal under Iranian law and can result in significant prison time. Despite this, the WSJ estimated that tens of thousands of residents still rely on the satellite service to bypass state controls. Authorities have reportedly conducted inspections of private homes and rooftops to locate unauthorized equipment.
Earlier this year, Trump and Elon Musk discussed maintaining Starlink access for Iranians during the unrest. Tehran has repeatedly accused Washington of encouraging dissent, though U.S. officials have mostly denied the allegations.
The decision to prioritize Starlink sparked internal debate within U.S. agencies. Some officials argued that shifting resources away from Virtual Private Networks (VPNs) could weaken broader internet access efforts. VPNs had previously played a major role in keeping Iranians connected during earlier protest waves, though VPNs are not effective when the actual internet gets cut.
According to State Department figures, about 30 million Iranians used U.S.-funded VPN services during demonstrations in 2022. During a near-total blackout in June 2025, roughly one-fifth of users were still able to access limited connectivity through VPN tools.
Critics have argued that satellite access without VPN protection may expose users to geolocation risks. After funds were redirected to acquire Starlink equipment, support reportedly lapsed for two of five VPN providers operating in Iran.
A State Department official has stated that the U.S. continues to back multiple technologies, including VPNs alongside Starlink, to sustain people’s internet access amidst the government’s shutdowns.
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Tesla ramps up Sweden price war with cheaper Model Y offer
The incentive effectively acts as a manufacturer-funded EV bonus and makes the entry-level Model Y more affordable.
Tesla has introduced a new 40,000 SEK incentive in Sweden, lowering the price of its most affordable Model Y to a record low. The incentive effectively acts as a manufacturer-funded EV bonus and makes the entry-level Model Y more affordable.
As per a report from Swedish auto outlet Allt om Elbil, Tesla Sweden is offering a 40,000 SEK electric car bonus on the entry-level Tesla Model Y Rear-Wheel Drive variant. The incentive lowers the purchase price of the base all-electric crossover to 459,900–459,990 SEK, depending on listing.
The bonus applies to orders and deliveries completed by March 31, 2026. Tesla Sweden is also offering zero-interest financing as part of the campaign.
Last fall, Tesla launched a new base version of the Model Y starting at 499,990 SEK. The variant features a refreshed design and simplified equipment compared to the Premium and Performance variants. The new 40,000 SEK incentive now pushes the entry model well below the 460,000 SEK mark.
So far this year, the Model Y remains the most registered electric vehicle in Sweden and the third most registered new car overall. However, most registrations have been for higher Premium-spec versions. The new incentive could then be Tesla’s way to push sales of its most affordable Model Y variant in the country.
Tesla is also promoting private leasing options for the entry-level Model Y at 4,995 SEK per month. Swedish automotive observers have noted that leasing may remain the more cost-effective option compared to purchasing outright, even after the new discount.
The base Model Y Rear-Wheel Drive offers a WLTP range of 534 kilometers, a top speed of 201 km/h, and a 0–100 km/h time of 7.2 seconds. Tesla lists energy consumption at 13.1 kWh per 100 kilometers, making it the most efficient version of the vehicle in the lineup and potentially lowering overall ownership costs.
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Tesla China hires Autopilot Test Engineer amid continued FSD rollout preparations
The role is based in Lingang, the district that houses Gigafactory Shanghai.
Tesla is hiring an Autopilot Test Engineer in Shanghai, a move that signals continued groundwork for the validation of Full Self-Driving (FSD) in China. The role is based in Lingang, the district that houses Gigafactory Shanghai and has become a key testing zone for advanced autonomous features.
As observed by Tesla watchers, local authorities in Shanghai’s Nanhui New City within Lingang have previously authorized a fleet of Teslas to run advanced driving tests on public roads. This marked one of the first instances where foreign automakers were permitted to test autonomous driving systems under real traffic conditions in China.
Tesla’s hiring efforts come amid ongoing groundwork for a full FSD rollout in China. Earlier reporting noted that Tesla China has been actively preparing the regulatory and infrastructure foundation needed for full FSD deployment, even though the company has not yet announced a firm launch date for the feature in the market.
As per recent comments from Tesla China Vice President Grace Tao, the electric vehicle maker has been busy setting up the necessary facilities to support FSD’s full rollout in the country. In a comment to local media, Tao stated that FSD should demonstrate a level of performance that could surpass human drivers once it is fully rolled out.
“We have set up a local training center in China specifically to handle this adaptation,” Tao said. “Once officially released, it will demonstrate a level of performance that is no less than, and may even surpass, that of local drivers.”
Tesla CEO Elon Musk has been quite bullish about a potential FSD rollout in China. During the 2025 Annual Shareholder Meeting, Musk emphasized that FSD had only received “partial approval” in China, though full authorization could potentially arrive around February or March 2026. This timeline was reiterated by the CEO during his appearance at the World Economic Forum in Davos.
Starlink terminals smuggled into Iran amid protest crackdown: report
Tesla ramps up Sweden price war with cheaper Model Y offer
