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 Diner to transition to full-service restaurant as Chef heads for new venture
“I am leaving the Tesla Diner project to focus on the opening of Mish, my long-desired Jewish deli. Projects like Mish and the Tesla Diner require a sharpness of focus and attention, and my focus and attention is now squarely on Mish.”
Tesla Diner, the all-in-one Supercharging and dining experience located in Los Angeles, will transition to a full-service restaurant in January, staff said, as Chef Eric Greenspan said he would take on a new project.
A report from the Los Angeles Times says Greenspan confirmed through a text that he would leave the Diner and focus on the opening of his new Jewish deli, Mish.
Greenspan confirmed to the paper:
“I am leaving the Tesla Diner project to focus on the opening of Mish, my long-desired Jewish deli. Projects like Mish and the Tesla Diner require a sharpness of focus and attention, and my focus and attention is now squarely on Mish.”
Greenspan took on the job at the Tesla Diner and curated the menu back in March, focusing on locally-sourced ingredients and items that would play on various company products, like Cybertruck-shaped boxes that hold burgers.
Tesla Cybertruck leftovers are the main course at the Supercharger Diner
The Tesla Diner has operated as somewhat of a self-serve establishment, where Tesla owners can order directly from their vehicles through the center touchscreen. It was not exclusive to Tesla owners. Guests could also enter and order at a counter, and pick up their food, before sitting at a booth or table.
However, the report indicates Tesla is planning to push it toward a sit-down restaurant, full of waiters, waitresses, and servers, all of which will come to a table after you are seated, take your order, and serve your food.
It will be more of a full-featured restaurant experience moving forward, which is an interesting move from the company, but it also sounds as if it could be testing for an expansion.
We know that Tesla is already considering expanding locations, as it will be heading to new areas of the country. CEO Elon Musk has said that Tesla will be considering locations in Palo Alto near the company’s Engineering HQ, and in Austin, where its HQ and Gigafactory Texas are located.
Musk said that the Diner has been very successful in its first few months of operation.
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Tesla adds new surprising fee to Robotaxi program
“Additional cleaning was required for the vehicle after your trip. A fee has been added to your final cost to cover this service. Please contact us if you have any questions.”
Tesla has added a new and somewhat surprising fee to the Robotaxi program. It’s only surprising because it was never there before.
Tesla shocked everyone when it launched its Robotaxi platform and offered riders the opportunity to tip, only to tell them they do not accept tips. It was one of the company’s attempts at being humorous as it rolled out its driverless platform to people in Austin.
As it has expanded to new cities and been opened to more people, as it was yesterday to iOS users, Tesla has had to tweak some of the minor details of the Robotaxi and ride-hailing platforms it operates.
First Look at Tesla’s Robotaxi App: features, design, and more
With more riders, more vehicles, and more operational jurisdictions, the company has to adjust as things become busier.
Now, it is adjusting the platform by adding “Cleaning Fees” to the Robotaxi platform, but it seems it is only charged if the vehicle requires some additional attention after your ride.
The app will communicate with the rider with the following message (via Not a Tesla App):
“Additional cleaning was required for the vehicle after your trip. A fee has been added to your final cost to cover this service. Please contact us if you have any questions.”
The cost of the cleaning will likely depend on how severe the mess is. If you spill a soda, it will likely cost less than if you lose your lunch in the back of the car because you had a few too many drinks.
This is an expected change, and it seems to be one that is needed, especially considering Tesla is operating a small-scale ride-hailing service at the current time. As it expands to more states and cities and eventually is available everywhere, there will be more situations that will arise.
The messes in vehicles are not a new situation, especially in a rideshare setting. It will be interesting to see if Tesla will enable other fees, like ones for riders who request a ride and do not show up for it.
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Tesla Model Y sold out in China for 2025
Customers who wish to get their cars by the end of the year would likely need to get an inventory unit.
It appears that the Model Y has been sold out for 2025 in China. This seems to be true for the four variants of the vehicle that are currently offered in the country.
Tesla China’s order page update
A look at Tesla China’s order page for the Model Y shows a message informing customers that those who wish to guarantee delivery by the end of the year should purchase an inventory unit. This was despite the Model Y RWD and Model Y L showing an estimated delivery timeline of 4-8 weeks, and the Model Y Long Range RWD and Model Y Long Range AWD showing 4-13 weeks.
As per industry watchers, these updates on the Model Y’s order page suggest that Tesla China’s sales capacity for the remainder of 2025 has been sold out. The fact that estimated delivery timeframes for the Model Y Long Range RWD and AWD extend up to 13 weeks also bodes well for demand for the vehicle, especially given strong rivals like the Xiaomi YU7, which undercuts the Model Y in price.
Tesla China’s upcoming big updates
What is quite interesting is that Tesla China is still competing in the country with one hand partly tied behind its back. So far, Tesla has only been able to secure partial approval for its flagship self-driving software, FSD, in China. This has resulted in V14 not being rolled out to the country yet. Despite this, Tesla China’s “Autopilot automatic assisted driving on urban roads,” as the system is called locally, has earned positive reviews from users.
As per Elon Musk during the 2025 Annual Shareholder Meeting, however, Tesla is expecting to secure full approval for FSD in China in early 2026. “We have partial approval in China, and we hopefully will have full approval in China around February or March or so. That’s what they’ve told us,” Musk said.
Tesla Diner to transition to full-service restaurant as Chef heads for new venture
Tesla adds new surprising fee to Robotaxi program
