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
The Teslarati team would appreciate hearing from you. If you have any tips, email us at tips@teslarati.com or reach out to me at maria@teslarati.com.
Elon Musk
Tesla CEO Elon Musk drops massive bomb about Cybercab
“And there is so much to this car that is not obvious on the surface,” Musk said.
Tesla CEO Elon Musk dropped a massive bomb about the Cybercab, which is the company’s fully autonomous ride-hailing vehicle that will enter production later this year.
The Cybercab was unveiled back in October 2024 at the company’s “We, Robot” event in Los Angeles, and is among the major catalysts for the company’s growth in the coming years. It is expected to push Tesla into a major growth phase, especially as the automaker is transitioning into more of an AI and Robotics company than anything else.
The Cybercab will enable completely autonomous ride-hailing for Tesla, and although its other vehicles will also be capable of this technology, the Cybercab is slightly different. It will have no steering wheel or pedals, and will allow two occupants to travel from Point A to Point B with zero responsibilities within the car.
Tesla shares epic 2025 recap video, confirms start of Cybercab production
Details on the Cybercab are pretty face value at this point: we know Tesla is enabling 1-2 passengers to ride in it at a time, and this strategy was based on statistics that show most ride-hailing trips have no more than two occupants. It will also have in-vehicle entertainment options accessible from the center touchscreen.
It will also have wireless charging capabilities, which were displayed at “We, Robot,” and there could be more features that will be highly beneficial to riders, offering a full-fledged autonomous experience.
Musk dropped a big hint that there is much more to the Cybercab than what we know, as a post on X said that “there is so much to this car that is not obvious on the surface.”
And there is so much to this car that is not obvious on the surface
— Elon Musk (@elonmusk) January 2, 2026
As the Cybercab is expected to enter production later this year, Tesla is surely going to include a handful of things they have not yet revealed to the public.
Musk seems to be indicating that some of the features will make it even more groundbreaking, and the idea is to enable a truly autonomous experience from start to finish for riders. Everything from climate control to emergency systems, and more, should be included with the car.
It seems more likely than not that Tesla will make the Cybercab its smartest vehicle so far, as if its current lineup is not already extremely intelligent, user-friendly, and intuitive.
Investor's Corner
Tesla Q4 delivery numbers are better than they initially look: analyst
The Deepwater Asset Management Managing Partner shared his thoughts in a post on his website.
Longtime Tesla analyst and Deepwater Asset Management Managing Partner Gene Munster has shared his insights on Tesla’s Q4 2025 deliveries. As per the analyst, Tesla’s numbers are actually better than they first appear.
Munster shared his thoughts in a post on his website.
Normalized December Deliveries
Munster noted that Tesla delivered 418k vehicles in the fourth quarter of 2025, slightly below Street expectations of 420k but above the whisper number of 415k. Tesla’s reported 16% year-over-year decline, compared to +7% in September, is largely distorted by the timing of the tax credit expiration, which pulled forward demand.
“Taking a step back, we believe September deliveries pulled forward approximately 55k units that would have otherwise occurred in December or March. For simplicity, we assume the entire pull-forward impacted the December quarter. Under this assumption, September growth would have been down ~5% absent the 55k pull-forward, a Deepwater estimate tied to the credit’s expiration.
“For December deliveries to have declined ~5% year over year would imply total deliveries of roughly 470k. Subtracting the 55k units pulled into September results in an implied December delivery figure of approximately 415k. The reported 418k suggests that, when normalizing for the tax credit timing, quarter-over-quarter growth has been consistently down ~5%. Importantly, this ~5% decline represents an improvement from the ~13% declines seen in both the March and June 2025 quarters.“
Tesla’s United States market share
Munster also estimated that Q4 as a whole might very well show a notable improvement in Tesla’s market share in the United States.
“Over the past couple of years, based on data from Cox Automotive, Tesla has been losing U.S. EV market share, declining to just under 50%. Based on data for October and November, Cox estimates that total U.S. EV sales were down approximately 35%, compared to Tesla’s just reported down 16% for the full quarter. For the first two months of the quarter, Cox reported Tesla market share of roughly a 65% share, up from under 50% in the September quarter.
“While this data excludes December, the quarter as a whole is likely to show a material improvement in Tesla’s U.S. EV market share.“
Elon Musk
Tesla analyst breaks down delivery report: ‘A step in the right direction’
“This will be viewed as better than feared deliveries and a step in the right direction for the Tesla story heading into 2026,” Ives wrote.
Tesla analyst Dan Ives of Wedbush released a new note on Friday morning just after the company released production and delivery figures for Q4 and the full year of 2025, stating that the numbers, while slightly underwhelming, are “better than feared” and as “a step in the right direction.”
Tesla reported production of 434,358 and deliveries of 418,227 for the fourth quarter, while 1,654,667 vehicles were produced and 1,636,129 cars were delivered for the full year.
Tesla releases Q4 and FY 2025 vehicle delivery and production report
Interestingly, the company posted its own consensus figures that were compiled from various firms on its website a few days ago, where expectations were set at 1,640,752 cars for the year. Tesla fell about 4,000 units short of that. One of the areas where Tesla excelled was energy deployments, which totaled 46.7 GWh for the year.
🚨 Wedbush’s Dan Ives has released a new note on Tesla $TSLA:
“Tesla announced its FY4Q25 delivery numbers this morning coming in at 418.2k vehicles slightly below the company’s consensus delivery estimate of 422.9k but much better than the whisper numbers of ~410k as the…
— TESLARATI (@Teslarati) January 2, 2026
In terms of vehicle deliveries, Ives writes that Tesla certainly has some things to work through if it wants to return to growth in that aspect, especially with the loss of the $7,500 tax credit in the U.S. and “continuous headwinds” for the company in Europe.
However, Ives also believes that, given the delivery numbers, which were on par with expectations, Tesla is positioned well for a strong 2026, especially with its AI focus, Robotaxi and Cybercab development, and energy:
“This will be viewed as better than feared deliveries and a step in the right direction for the Tesla story heading into 2026. We look forward to hearing more at the company’s 4Q25 call on January 28th. AI Valuation – The Focus Throughout 2026. We believe Tesla could reach a $2 trillion market cap over the coming year and, in a bull case scenario, $3 trillion by the end of 2026…as full-scale volume production begins with the autonomous and robotics roadmap…The company has started to test the all-important Cybercab in Austin over the past few weeks, which is an incremental step towards launching in 2026 with important volume production of Cybercabs starting in April/May, which remains the golden goose in unlocking TSLA’s AI valuation.”
It’s no secret that for the past several years, Tesla’s vehicle delivery numbers have been the main focus of investors and analysts have looked at them as an indicator of company health to a certain extent. The problem with that narrative in 2025 and 2026 is that Tesla is now focusing more on the deployment of Full Self-Driving, its Optimus project, AI development, and Cybercab.
While vehicle deliveries still hold importance, it is more crucial to note that Tesla’s overall environment as a business relies on much more than just how many cars are purchased. That metric, to a certain extent, is fading in importance in the grand scheme of things, but it will never totally disappear.
Ives and Wedbush maintained their $600 price target and an ‘Outperform’ rating on the stock.
Tesla CEO Elon Musk drops massive bomb about Cybercab
Tesla Q4 delivery numbers are better than they initially look: analyst
