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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.

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.

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“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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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.

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.

Elon Musk

Tesla board reveals reasoning for CEO Elon Musk’s new $1 trillion pay package

“Yes, you read that correctly: in 2018, Elon had to grow Tesla by billions; in 2025, he has to grow Tesla by trillions — to be exact, he must create nearly $7.5 trillion in value for shareholders for him to receive the full award.”

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(Credit: Tesla)

Tesla’s Board of Directors has proposed a new pay package for company CEO Elon Musk that would result in $1 trillion in stock offerings if he is able to meet several lofty performance targets.

Musk, who has not been meaningfully compensated since 2017, completed his last pay package by delivering billions in shareholder value through a variety of performance-based “tranches,” which were met and resulted in the award of billions in stock.

Elon Musk’s new pay plan ties trillionaire status to Tesla’s $8.5 trillion valuation

However, Musk was unable to claim this award due to a ruling by the Delaware Chancery Court, which deemed the payout an “unfathomable sum.”

Now, the company is taking steps to ensure Musk gets paid, as the Board feels that it is crucial to retain its CEO, who has been responsible for much of the company’s success.

This is not a statement to undermine the work of all of Tesla’s terrific employees, but a ship needs to be captained by someone, and Musk has proven he is the right person for the job.

The Board also believes that, based on a statement made by the company in its proxy, various issues will be discussed during the upcoming Shareholder Meeting.

Robyn Denholm and Kathleen Wilson-Thompson recognized Musk’s contributions in a statement, which encouraged shareholders to vote to approve the payout:

“We’re asking you to approve the 2025 CEO Performance Award. In designing the new performance award, we explored numerous alternatives. Ultimately, the new award aims to build upon the success of the 2018 CEO Performance Award framework, which ensure that Elon was only paid for the performance delivered and incentivized to guide Tesla through a period of meteoric growth. The 2025 CEO Performance Award similarly challegnes Elon to again meet a series of even more aspirational goals, including operational milestones focused on reaching Adjusted EBITDA targets (thresholds that are up to 28 times higher than the 2108 CEO Performance Award’s top Adjusted EBITDA milestone) and rolling out new or expanded product offerings (including 1 million Robotaxis in commercial operation and delivery of 1 million AI Bots), all while growing the company’s market capitalization by trillions of dollars.

Yes, you read that correctly: in 2018, Elon had to grow Tesla by billions; in 2025, he has to grow Tesla by trillions — to be exact, he must create nearly $7.5 trillion in value for shareholders for him to receive the full award.

In addition to these unprecedented performance milestones, the 2025 CEO Performance Award also includes innovative structural features, born out of the special committee’s considered analysis and extensive shareholder feedback. These features include supercharged retention (at least seven and a half years and up to 10 years to vest in the full award), structural protections to minimize stock price volatility due to administration of this award and, thereafter, incentives for Elon to participate in the Board’s continued development of a framework for long-term CEO Succession. If Elon achieves all the performance milestones under this principle-based 2025 CEO Performance Award, his leadership will propel Tesla to become the most valuable company in history.”

Musk will have a lot of things to accomplish to receive the 423,743,904 shares, which are divided into 12 tranches.

However, the Board feels he is the right person for the job, and they want him to remain the CEO. This package should ensure that he stays with Tesla, as long as shareholders feel the same way.

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Tesla Robotaxi app download rate demolishes Uber, Waymo all-time highs

After two and a half months of testing with a group of hand-picked Tesla influencers and some media, the company has officially launched Robotaxi rides in both Austin, Texas, and the California Bay Area to the public.

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Credit: @BLKMDL3 | X

Tesla launched its Robotaxi app to the general public yesterday, and the number of downloads is a testament to the platform’s high demand for testing.

After two and a half months of testing with a group of hand-picked Tesla influencers and some media, the company has officially launched Robotaxi rides in both Austin, Texas, and the California Bay Area to the public.

Tesla Robotaxi makes major expansion with official public app launch

Downloading the app is available to iOS users, so if you have an iPhone, you can get it and join the waitlist. Tesla has not yet launched the Robotaxi app for the Android platform, but did hint that it would be coming soon.

The testing phase with the group Tesla selected has gone well. In Austin, the City has only listed one “Safety Concern” with Robotaxi during the testing phase. For the most part, things have gone extremely well, and riders have had good things to say.

Tesla is still operating with some safeguards in place, such as Safety Monitors and Safety Drivers, but these are precautionary and temporary; CEO Elon Musk has said they should be removed by the end of the year.

Elon Musk says Tesla will take Safety Drivers out of Robotaxi: here’s when

Even still, Tesla Robotaxi is something that many people want to experience, and the app downloads prove it.

The Tesla Robotaxi app was downloaded at a rate that exceeded all rolling 30-day periods of both Uber and Waymo, according to Brett Winton of ARK Invest. Tesla’s Robotaxi’s first day on the App Store exceeded Uber’s by 40 percent and Waymo’s best download day ever by six times:

The surge in downloads is a good indication of how in demand the Robotaxi suite was, as many people within the community had vocalized their requests to try the platform, but Tesla was not ready to expand it beyond its handpicked group.

The expansion of the program will result in more rides, provided Tesla continues to expand its fleet of vehicles. It has already admitted many of those who were initially placed on the waitlist.

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Elon Musk’s xAI expands to Seattle with salaries up to $440,000

The move was announced by the artificial intelligence startup and Elon Musk on social media platform X.

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(Credit: xAI)

Elon Musk’s artificial intelligence startup xAI is opening a new office in Seattle as it accelerates its global expansion. 

The move was announced by the artificial intelligence startup and Elon Musk on social media platform X. xAI is also hiring for its first positions in the new site.

New Seattle office

As could be seen on xAI’s Careers webpage, the Seattle office is currently hiring for three engineering roles. Each of the three technical roles tied to the new site carry salaries ranging from $180,000 to $440,000. 

The new office adds to xAI’s growing presence, which now spans San Francisco, Austin, London, Dublin, New York, and Memphis. The Seattle-based roles focus on video and image generation systems, signaling Musk’s intent to challenge rivals like OpenAI and Meta in generative AI.

Pressures and challenges

Seattle also places xAI within reach of Microsoft’s headquarters in Redmond. Microsoft has emerged as a central player in the AI race through its multibillion-dollar partnership with OpenAI, making xAI’s move into the region notable. The competition for AI specialists has pushed salaries higher across the industry, with filings showing OpenAI staff earning up to $530,000 and Anthropic engineers as much as $690,000 annually, as noted by Insider.

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The startup has also seen some high-profile departures in recent months, including cofounder Igor Babuschkin and general counsel Robert Keele. Still, xAI continues to grow aggressively, and its Grok large language model has been gaining momentum among mainstream users. Work also continues to be underway to further build out the company’s Colossus supercomputer cluster. Reports have also suggested that xAI has moved into San Francisco offices in the Mission District, a site Musk initially leased during OpenAI’s early years.

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