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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News
Wedbush’s Dan Ives sees ‘monster year’ ahead for Tesla amid AI push
In a post on X, the analyst stated that the electric vehicle maker could hit a $3 trillion market cap by the end of 2026 in a bullish scenario.
Wedbush analyst Dan Ives is doubling down on Tesla’s (NASDAQ:TSLA) long-term upside. In a post on X, the analyst stated that the electric vehicle maker could hit a $3 trillion market cap by the end of 2026 in a bullish scenario, thanks to the company’s efforts to develop and push its artificial intelligence programs.
An aggressive valuation upside
Ives, Wedbush’s global head of tech research, stated in his post that Tesla is entering a pivotal period as its autonomy and robotics ambitions move closer to commercialization. He expects Tesla’s market cap to reach $2 trillion in 2026, representing roughly 33% upside from current levels, with a bull case up to a $3 trillion market cap by year-end.
Overall, Ives noted that 2026 could become a “monster year” for TSLA. “Heading into 2026, this marks a monster year ahead for Tesla/Musk as the autonomous and robotics chapter begins. We believe Tesla hits a $2 trillion market cap in 2026 and in a bull case scenario $3 trillion by end of 2026… as the AI chapter takes hold at TSLA,” the analyst wrote.
Ives also reiterated his “Outperform” rating on TSLA stock, as well as his $600 per share price target.
Unsupervised Full-Self Driving tests
Fueling optimism is Tesla’s recent autonomous vehicle testing in Austin, Texas. Over the weekend, at least two Tesla Model Ys were spotted driving on public roads without a safety monitor or any other occupants. CEO Elon Musk later confirmed the footage of one of the vehicles on X, writing in a post that “testing is underway with no occupant in the car.”
It remains unclear whether the vehicle was supported by chase cars or remote monitoring, and Tesla has not disclosed how many vehicles are involved. That being said, Elon Musk stated a week ago that Tesla would be removing its Safety Monitors from its vehicles “within the next three weeks.” Based on the driverless vehicles’ sightings so far, it appears that Musk’s estimate may be right on the mark, at least for now.
News
Production-ready Tesla Cybercab hits showroom floor in San Jose
Tesla has implemented subtle but significant updates to both the Cybercab’s exterior and interior elements.
Tesla has showcased what appears to be a near-production-ready Cybercab at its Santana Row showroom in San Jose, California, giving visitors the closest look yet at the autonomous two-seater’s refined design.
Based on photos of the near-production-ready vehicle, the electric vehicle maker has implemented subtle but significant updates to both the Cybercab’s exterior and interior elements, making the vehicle look more polished and seemingly more comfortable than its prototypes from last year.
Exterior and interior refinements
The updated Cybercab, whose photos were initially shared by Tesla advocate Nic Cruz Patane, now features a new frameless window design, an extended bottom splitter on the front bumper, and a slightly updated rear hatch. It also includes a production-spec front lightbar with integrated headlights, new wheel covers, and a license plate bracket.
Notably, the vehicle now has two windshield wipers instead of the prototype’s single unit, along with powered door struts, seemingly for smoother opening of its butterfly doors. Inside, the Cybercab now sports what appears to be a redesigned dash and door panels, updated carpet material, and slightly refined seat cushions with new center cupholders. Its legroom seems to have gotten slightly larger as well.
Cybercab sightings
Sightings of the updated Cybercab have been abundant in recent months. At the end of October, the Tesla AI team teased some of the autonomous two-seater’s updates after it showed a photo of the vehicle being driven through an In-N-Out drive-through by employees in Halloween costumes. The photos of the Cybercab were fun, but they were significant, with longtime Tesla watchers noting that the company has a tradition of driving its prototypes through the fast food chain’s drive-throughs.
Even at the time, Tesla enthusiasts noticed that the Cybercab had received some design changes, such as segmented DRLs and headlamps, actual turn signals, and a splitter that’s a lot sharper. Larger door openings, which now seem to have been teasing the vehicle’s updated cabin, were also observed at the time.
Investor's Corner
Tesla analyst realizes one big thing about the stock: deliveries are losing importance
Tesla analyst Dan Levy of Barclays realized one big thing about the stock moving into 2026: vehicle deliveries are losing importance.
As a new era of Tesla seems to be on the horizon, the concern about vehicle deliveries and annual growth seems to be fading, at least according to many investors.
Even CEO Elon Musk has implied at times that the automotive side, as a whole, will only make up a small percentage of Tesla’s total valuation, as Optimus and AI begin to shine with importance.
He said in April:
“The future of the company is fundamentally based on large-scale autonomous cars and large-scale and large volume, vast numbers of autonomous humanoid robots.”
Almost all of Tesla’s value long-term will be from AI & robots, both vehicle & humanoid
— Elon Musk (@elonmusk) September 11, 2023
Levy wrote in a note to investors that Tesla’s Q4 delivery figures “likely won’t matter for the stock.” Barclays said in the note that it expects deliveries to be “soft” for the quarter.
In years past, Tesla analysts, investors, and fans were focused on automotive growth.
Cars were truly the biggest thing the stock had to offer: Tesla was a growing automotive company with a lot of prowess in AI and software, but deliveries held the most impact, along with vehicle pricing. These types of things had huge impacts on the stock years ago.
In fact, several large swings occurred because of Tesla either beating or missing delivery estimates:
- January 3, 2022: +13.53%, record deliveries at the time
- January 3, 2023: -12.24%, missed deliveries
- July 2, 2024: +10.20%, beat delivery expectations
- October 3, 2022: -8.61%, sharp miss due to Shanghai factory shutdown
- July 2, 2020: +7.95%, topped low COVID-era expectations with sizeable beat on deliveries
It has become more apparent over the past few quarters that delivery estimates have significantly less focus from investors, who are instead looking for progress in AI, Optimus, Cybercab, and other projects.
These things are the future of the company, and although Tesla will always sell cars, the stock is more impacted by the software the vehicle is running, and not necessarily the vehicle itself.
Wedbush’s Dan Ives sees ‘monster year’ ahead for Tesla amid AI push
Production-ready Tesla Cybercab hits showroom floor in San Jose
