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Tesla’s new patent shows path to Elon Musk’s pure vision FSD approach

Credit: Andres GE

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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.

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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.

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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.

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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Tesla adds a new feature to Navigation in preparation for a new vehicle

After CEO Elon Musk announced earlier this week that the Semi’s mass production processes were scheduled for later this year, the company has been making various preparations as it nears manufacturing.

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Credit: Uber

Tesla has added a new feature to its Navigation and Supercharger Map in preparation for a new vehicle to hit the road: the Semi.

After CEO Elon Musk announced earlier this week that the Semi’s mass production processes were scheduled for later this year, the company has been making various preparations as it nears manufacturing.

Elon Musk confirms Tesla Semi will enter high-volume production this year

One of those changes has been the newly-released information regarding trim levels, as well as reports that Tesla has started to reach out to customers regarding pricing information for those trims.

Now, Tesla has made an additional bit of information available to the public in the form of locations of Megachargers, the infrastructure that will be responsible for charging the Semi and other all-electric Class 8 vehicles that hit the road.

Tesla made the announcement on the social media platform X:

Although it is a minor development, it is a major indication that Tesla is preparing for the Semi to head toward mass production, something the company has been hinting at for several years.

Nevertheless, this, along with the other information that was released this week, points toward a significant stride in Tesla’s progress in the Semi project.

Now that the company has also worked toward completion of the dedicated manufacturing plant in Sparks, Nevada, there are more signs than ever that the vehicle is finally ready to be built and delivered to customers outside of the pilot program that has been in operation for several years.

For now, the Megachargers are going to be situated on the West Coast, with a heavy emphasis on routes like I-5 and I-10. This strategy prioritizes major highways and logistics hubs where freight traffic is heaviest, ensuring coverage for both cross-country and regional hauls.

California and Texas are slated to have the most initially, with 17 and 19 sites, respectively. As the program continues to grow, Florida, Georgia, Illinois, Washington, New York, and Nevada will have Megacharger locations as well.

For now, the Megachargers are available in Lathrop, California, and Sparks, Nevada, both of which have ties to Tesla. The former is the location of the Megafactory, and Sparks is where both the Tesla Gigafactory and Semifactory are located.

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Tesla stock gets latest synopsis from Jim Cramer: ‘It’s actually a robotics company’

“Turns out it’s actually a robotics and Cybercab company, and I want to buy, buy, buy. Yes, Tesla’s the paper that turned into scissors in one session,” Cramer said.

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Credit: Tesla Optimus/X

Tesla stock (NASDAQ: TSLA) got its latest synopsis from Wall Street analyst Jim Cramer, who finally realized something that many fans of the company have known all along: it’s not a car company. Instead, it’s a robotics company.

In a recent note that was released after Tesla reported Earnings in late January, Cramer seemed to recognize that the underwhelming financials and overall performance of the automotive division were not representative of the current state of affairs.

Instead, we’re seeing a company transition itself away from its early identity, essentially evolving like a caterpillar into a butterfly.

The narrative of the Earnings Call was simple: We’re not a car company, at least not from a birds-eye view. We’re an AI and Robotics company, and we are transitioning to this quicker than most people realize.

Tesla stock gets another analysis from Jim Cramer, and investors will like it

Tesla’s Q4 Earnings Call featured plenty of analysis from CEO Elon Musk and others, and some of the more minor details of the call were even indicative of a company that is moving toward AI instead of its cars. For example, the Model S and Model X will be no more after Q2, as Musk said that they serve relatively no purpose for the future.

Instead, Tesla is shifting its focus to the vehicles catered for autonomy and its Robotaxi and self-driving efforts.

Cramer recognizes this:

“…we got results from Tesla, which actually beat numbers, but nobody cares about the numbers here, as electric vehicles are the past. And according to CEO Elon Musk, the future of this company comes down to Cybercabs and humanoid robots. Stock fell more than 3% the next day. That may be because their capital expenditures budget was higher than expected, or maybe people wanted more details from the new businesses. At this point, I think Musk acolytes might be more excited about SpaceX, which is planning to come public later this year.”

He continued, highlighting the company’s true transition away from vehicles to its Cybercab, Optimus, and AI ambitions:

“I know it’s hard to believe how quickly this market can change its attitude. Last night, I heard a disastrous car company speak. Turns out it’s actually a robotics and Cybercab company, and I want to buy, buy, buy. Yes, Tesla’s the paper that turned into scissors in one session. I didn’t like it as a car company. Boy, I love it as a Cybercab and humanoid robot juggernaut. Call me a buyer and give me five robots while I’m at it.”

Cramer’s narrative seems to fit that of the most bullish Tesla investors. Anyone who is labeled a “permabull” has been echoing a similar sentiment over the past several years: Tesla is not a car company any longer.

Instead, the true focus is on the future and the potential that AI and Robotics bring to the company. It is truly difficult to put Tesla shares in the same group as companies like Ford, General Motors, and others.

Tesla shares are down less than half a percent at the time of publishing, trading at $423.69.

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SpaceX secures win as US labor board drops oversight case

The NLRB confirmed that it no longer has jurisdiction over SpaceX.

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Credit: SpaceX

SpaceX scored a legal victory after the National Labor Relations Board (NLRB) decided to dismiss a case which accused the company of terminating engineers who were involved in an open letter against founder Elon Musk. 

The NLRB confirmed that it no longer has jurisdiction over SpaceX. The update was initially shared by Bloomberg News, which cited a letter about the matter it reportedly reviewed.

In a letter to the former employees’ lawyers, the labor board stated that the affected employees were under the jurisdiction of the National Mediation Board (NMB), not the NLRB. As a result, the labor board stated that it was dismissing the case.

As per Danielle Pierce, a regional director of the agency, “the National Labor Relations Board lacks jurisdiction over the Employer and, therefore, I am dismissing your charge.”

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The NMB typically oversees airlines and railroads. The NLRB, on the other hand, covers most private-sector employers, as well as manufacturers such as Boeing. 

The former SpaceX engineers have argued that the private space company did not belong under the NMB’s jurisdiction because SpaceX only offers services to “hand-picked customers.” 

In an opinion, however, the NMB stated that SpaceX was under its jurisdiction because “space transport includes air travel” to get to outer space. The mediation board also noted that anyone can contact SpaceX to secure its services.

SpaceX had previously challenged the NLRB’s authority in court, arguing that the agency’s structure was unconstitutional. Jennifer Abruzzo, the NLRB general counsel under former United States President Joe Biden, rejected SpaceX’s claims. Following Abruzzo’s termination under the Trump administration, however, SpaceX asked the labor board to reconsider its arguments. 

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SpaceX is not the only company that has challenged the constitutionality of the NLRB. Since SpaceX filed its legal challenge against the agency in 2024, other high-profile companies have followed suit. These include Amazon, which has filed similar cases that are now pending.

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