Tesla received a new patent last week for “estimating object properties using visual image data.” Elon Musk estimated that Tesla would release a version of FSD Beta in April. At the time, he also mentioned that Tesla was going for pure vision and suggested that it would not even use radar sensors in the future.
“According to their patent, this invention aims to address the increasing cost and complexity of vision sensors for mass-market autonomous vehicles. This method enables a vehicle to detect and interpret the distance to its surroundings using the vehicle’s image data and machine learning,” explained law firm Founders Legal to Teslarati.
Tesla’s patent describes an invention using two neural networks to gauge the distances of objects using only image data. The first neural network can determine the distance of objects from images captured by the cameras around a vehicle. The other neural network creates training material in the form of annotated images for the first neural network.
In the patent, Tesla states that there is a need to find the right amount of sensors to put on an autonomous vehicle without limiting the amount of data it can capture and process. Tesla states that vision sensors, like radar, lidar, and ultrasonic sensors, can become too costly to put in a mass market vehicle and increase the “input bandwidth requirements” for an autonomous driving system.
The patent describes a configuration with a good balance of sensors and cameras to determine the distances of objects around a vehicle. This should allow Tesla to employ a system that could perform at a level comparable to industry leaders while keeping costs as low as possible.
“As the number and types of sensors increases, so does the complexity and cost of the system. For example, emitting distance sensors such as lidar are often costly to include in a mass market vehicle. Moreover, each additional sensor increases the input bandwidth requirements for the autonomous driving system. Therefore, there exists a need to find the optimal configuration of sensors on a vehicle. The configuration should limit the total number of sensors without limiting the amount and type of data captured to accurately describe the surrounding environment and safely control the vehicle,” Tesla wrote.
The patent also provides Tesla with a way to automatically label vision data. Considering that labeling is one of the most time-consuming part of Tesla’s FSD development, such a system would likely accelerate the development and release of updates and improvements to the company’s Full Self-Driving and Autopilot suites.
“In various embodiments, the collection and association of auxiliary data with vision data is done automatically and requires little, if any, human intervention. For example, objects identified using vision techniques do not need to be manually labeled, significantly improving the efficiency of machine learning training. Instead, the training data can be automatically generated and used to train a machine learning model to predict object properties with a high degree of accuracy,” Tesla wrote.
The configuration described in Tesla’s patent should significantly improve its Full Self-Driving (FSD) technology. It may reduced Tesla’s reliance on sensors and increase the amount of data that can be extracted from images to improve FSD Beta. Tesla’s image-based approach to FSD differs considerably from its competitors like Waymo but has yielded some rather impressive results based on some FSD Beta users’ experiences thus far.
Tesla’s “Estimating object properties using visual image data” patent could be accessed below.
Vision Only Patent by Maria Merano on Scribd
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Tesla targets production increase at Giga Berlin in 2026
Plant manager André Thierig confirmed the facility’s stable outlook to the DPA, noting that Giga Berlin implemented no layoffs or shutdowns amid challenging market conditions.
Tesla is looking positively toward 2026 with plans for further growth at its Grünheide factory in Germany, following steady quarterly increases throughout 2025.
Plant manager André Thierig confirmed the facility’s stable outlook to the Deutsche Presse-Agentur (DPA), noting that Giga Berlin implemented no layoffs or shutdowns despite challenging market conditions.
Giga Berlin’s steady progress
Thierig stated that Giga Berlin’s production actually rose in every quarter of 2025 as planned, stating: “This gives us a positive outlook for the new year, and we expect further growth.” The factory currently supplies over 30 markets, with Canada recently being added due to cost advantages.
Giga Berlin’s expansion is still underway, with the first partial approval for capacity growth being secured. Preparations for a second partial approval are underway, though the implementation of more production capacity would still depend on decisions from Tesla’s US leadership.
Over the year, updates to Giga Berlin’s infrastructure were also initiated. These include the relocation of the Fangschleuse train station and the construction of a new road. Tesla is also planning to start battery cell production in Germany starting 2027, targeting up to 8 GWh annually.
Resilience amid market challenges
Despite a 48% drop in German registrations, Tesla maintained Giga Berlin’s stability. Thierig highlighted this, stating that “We were able to secure jobs here and were never affected by production shutdowns or job cuts like other industrial sites in Germany.”
Thierig also spoke positively towards the German government’s plans to support households, especially those with low and middle incomes, in the purchase and leasing of electric vehicles this 2026. “In our opinion, it is important that the announcement is implemented very quickly so that consumers really know exactly what is coming and when,” the Giga Berlin manager noted.
Giga Berlin currently employs around 11,000 workers, and it produces about 5,000 Model Y vehicles per week, as noted in an Ecomento report. The facility produces the Model Y Premium variants, the Model Y Standard, and the Model Y Performance.
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Tesla revamped Semi spotted, insane 1.2 MW charging video releases
These developments highlight Tesla’s ongoing refinements to the vehicle’s design and infrastructure.
Tesla is gearing up for high-volume Semi production in 2026, with the Class 8 all-electric truck’s revamped variant being spotted in the wild recently. Official footage from Tesla also showed the Semi achieving an impressive 1.2 MW charging rate on a charger.
These developments highlight Tesla’s ongoing refinements to the vehicle’s design and infrastructure.
Revamped Tesla Semi sighting
Tesla Semi advocate @HinrichsZane, who has been chronicling the progress of the vehicle’s Nevada factory, recently captured exclusive drone footage of the refreshed Class 8 truck at a Megacharger stall near Giga Nevada. The white unit features a full-width front light bar similar to the Model Y and the Cybercab, shorter side windows, a cleared fairing area likely for an additional camera, and diamond plate traction strips on the steps.
Overall, the revamped Semi looks ready for production and release. The sighting marks one of the first real-life views of the Class 8 all-electric truck’s updated design, with most improvements, such as potential 4680 cells and enhanced internals, being hidden from view.
1.2 MW charging speed and a new connector
The official Tesla Semi account on X also shared an official video of Tesla engineers hitting 1.2 MW sustained charging on a Megacharger, demonstrating the vehicle’s capability for extremely rapid charging. Tesla Semi program lead Dan Priestley confirmed in a later post on X that the test occurred at a dedicated site, noting that chargers at the Semi factory in Nevada are also 1.2 MW capable.
The short video featured a revamped design for the Semi’s charging port, which seems more sleek and akin to the NACS port found in Tesla’s other vehicles. It also showed the Tesla engineers cheering as the vehicle achieved 1.2 MW during its charging session. Dan Priestley explained the Semi’s updated charging plug in a post on X.
“The connector on the prior Semi was an early version (v2.4) of MCS. Not ‘proprietary’ as anyone could have used it. We couldn’t wait for final design to have >1MW capability, so we ran with what had been developed thus far. New Semi has latest MCS that is set to be standard,” the executive wrote in a post on X.
Check out the Tesla Semi’s sighting at the Nevada factory in the video below.
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Tesla FSD successfully completes full coast-to-coast drive with zero interventions
Tesla community members celebrated the milestone on X, and the feat earned praise from some of the electric vehicle maker’s executives.
A Tesla owner has successfully completed a full coast-to-coast drive across the United States on Full Self-Driving (FSD) Supervised. The trip was accomplished with zero interventions.
Tesla community members celebrated the milestone on X, and the feat earned praise from some of the electric vehicle maker’s executives.
FSD Coast-to-Coast
The coast-to-coast feat was accomplished by Tesla owner Davis Moss, who drives a stealth gray Model 3 with AI4 hardware. Based on data from the FSD database and a community tracker, the last 10,638.8 miles Moss drove in his Model 3 were completed using FSD 100% of the time. His vehicle is equipped with FSD v14.2.1.25, which was installed 12 days ago.
As per Moss in a celebratory post on X, his Model 3 was able to complete a full coast-to-coast drive across the United States in 2 days and 20 hours. His trip started at the Tesla Diner in Los Angeles, CA, and it ended in Myrtle Beach, SC. Overall, his trip spanned 2,732.4 miles.
“This was accomplished with Tesla FSD V14.2 with absolutely 0 disengagements of any kind even for all parking including at Tesla Superchargers,” Moss stated in his post. He also added in later comments that there were zero close calls during the trip.
Tesla community celebrates
The FSD milestone trip was widely lauded by members of the Tesla community, especially since a coast-to-coast drive with zero interventions has been cited by Elon Musk as a target since October 2016, when Autopilot 2.0 was unveiled. At the time, Musk initially estimated that a coast-to-coast drive across the United States should be possible by the end of 2017. Considering Moss’ feat in his Model 3, it appears that Elon Musk’s estimate was not impossible at all. It was just late.
Musk himself celebrated the milestone on X, and so did Tesla VP of AI Software Ashok Elluswamy, who wrote “World’s first fully autonomous coast-to-coast drive, done with Tesla self-driving v14. Congrats and thank you @DavidMoss!” in a post on X. The official Tesla North America account also celebrated the feat, writing “First Tesla to drive itself from coast to coast w/ FSD Supervised. 0 interventions, all FSD” on X.
Tesla targets production increase at Giga Berlin in 2026
Tesla revamped Semi spotted, insane 1.2 MW charging video releases
