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Tesla Smart Summon patent highlights progress in 3D labeling for full self-driving features

Tesla Smart Summon in action. (Credit: Rody Davis/YouTube)

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A recently published Tesla patent application details the machine learning methods behind Smart Summon, specifically highlighting the progress being made with 3D labeling in training data.

The application, titled “Autonomous and User Controlled Vehicle Summon to a Target,” utilizes machine learning methods explicitly detailed in two other recent Tesla patent publications in its functionality. This series of three inventions altogether describes an automated way of generating training data which is then used by a machine learning model to accomplish an expansive list of self-driving capabilities in Summon.

“Traditionally, much of the effort to curate a training data set is done manually by reviewing potential training data and properly labeling the features associated with the data,” Tesla’s first application in the series states. “The effort required to create a training set with accurate labels can be significant and is often tedious… Therefore, there exists a need to improve the process for generating training data with accurate labeled features.”

The application goes on to describe how labeled training data is made autonomously in their invention using sensors and the collection of what’s called a “time series,” i.e., a series of images captured over a period of time.

“Using data captured by sensors on a vehicle to capture the environment of the vehicle and vehicle operating parameters, a training data set is created,” it explains. “In some embodiments, a three-dimensional representation of a feature, such as a lane line, is created from the group of time series elements that corresponds to the ground truth… As one example, a series of images for a time period, such as 30 seconds, is used to determine the actual path of a vehicle lane line over the time period the vehicle travels…a single image of the group and the actual path taken can be used as training data to predict the path of the vehicle.”

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Tesla CEO Elon Musk has previously mentioned that better labeling is one of the keys to speeding up the rollout of self-driving functionality and features like Reverse Summon. “We need to finish work on Autopilot core foundation code & 3D labeling, then functionality will happen quickly. Not long now,” Musk wrote on Twitter in March this year. With better labeling (more accurate training data) comes safer and more capable software due to improved predictions from the modeling.

Tesla Owners Silicon Valley Smart Summon Model 3s (Credit: @MinimalDuck)

When it comes to Tesla’s Smart Summon, prediction modeling is essential considering there isn’t a driver in the vehicle during its operation. The patent publication covering Summon embodies the first application’s time series functionality and a second application’s implementation of the time series’ training data in its methods, demonstrating one of the numerous potential uses for the machine learning invention. Hints about future developments using Smart Summon are also detailed in the application. Examples include:

  • Syncing the Smart Summon with a calendar so the vehicle “automatically navigates to arrive at the location at the ending time, such as the end of a dinner party, a wedding, a restaurant reservation, etc.”
  • Implementing a multi-part destination into the Summon instructions such as waypoints at an airport to pick up multiple passengers.
  • Monitoring the heartbeat of a Summon user to ensure they are maintaining a connection with the vehicle while operating the feature.
  • Customizing the vehicle’s arrival settings such as interior lighting, exterior lighting, hazard lights, welcome music, and climate control preferences.

One of the more unique bits about the Smart Summon patent application is the appearance of Elon Musk as an inventor. While the CEO is known to be intimately involved in nearly all aspects of vehicle design, software features, and business operations, his name is unexpectedly absent from most of the company’s inventions. However, this is apparently on purpose. “I generally try my best not to be on patents,” he revealed on Twitter in reply to a post about the Smart Summon application. Notably, inventorship is a legal definition based on the conception of an invention, i.e., not the person/people who suggested or directed its creation, but the person/people who devised the means to accomplish it.

Prior to the most recent patent publication, Musk contributed inventorship to the door and body styling of the Model X. He also contributed the same to both the design and function of Tesla’s vehicle charge inlets.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Tesla CEO Elon Musk teases Optimus job that’s straight out of Robocop

“If somebody’s committed a crime, we might be able to provide a more humane form of containment of future crime. You now get a free Optimus, and it’s just going to follow you around and stop you from doing crime.”

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Credit: @heydave7/X

Tesla CEO Elon Musk teased a potential job for the company’s Optimus robot last week that is straight out of the movie “Robocop.”

“Robocop” aimed to show a futuristic look at law enforcement in a Sci-fi thriller that was among the first iterations of how robots could be used for police work.

The 1987 film showcased an injured cop turning into an armed cyborg, and although Tesla’s Optimus won’t be a human-robot hybrid, Musk’s idea for the humanoid project is similar.

Musk said last week at the Annual Shareholder Meeting, where shareholders voted to approve his $1 trillion compensation plan, that Optimus could be the future of law enforcement, nearly revolutionizing the way criminals are prosecuted.

He hinted that Optimus could actually be used as a chaperone of sorts, arguing that it was a “more humane form of containment of future crime.” Musk said:

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“If somebody’s committed a crime, we might be able to provide a more humane form of containment of future crime. You now get a free Optimus, and it’s just going to follow you around and stop you from doing crime. Other than that, you get to do anything; it’s just going to stop you from committing crime. That’s really it. You don’t have to put people in prisons and stuff. It’s pretty wild to think of all the possibilities, but I think it’s clearly the future.”

Musk’s overall idea for Optimus is to change the way people are able to exist, from those law-abiding citizens to others who have their run-ins with the law. Instead, the Tesla CEO believes there could be a different way to handle everything, including punishment.

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It was not the only thing that Musk indicated could be changed significantly by the presence of humanoid robots, as he also said a universal basic income could be established with the help of products like Optimus.

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Elon Musk teases huge merger: ‘Trending towards convergence’

“My companies are, surprisingly in some ways, trending towards convergence.”

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Elon Musk recently amplified the thoughts of Morgan Stanley analyst Adam Jonas, who had insight into the “Muskonomy” of his potentially interconnected ventures, something that was proposed at the recent Tesla Shareholder Meeting with xAI.

Musk’s words indicate a potential strategic fusion that could serve as a blueprint for future innovation–but it is dependent on a conglomeration between the many entities the CEO serves.

As Tesla grapples with scaling Optimus and preparing for its imminent production and the development of the Full Self-Driving suite, xAI’s computational edge could provide leverage for the millions of miles of data the company accumulates, providing a more stable and accurate development strategy for the autonomous and AI efforts it has put its chips all in on.

After Tesla Shareholders voted to deny Tesla and xAI’s potential financial partnership through an investment, Jonas said it was an issue that would have to be revisited due to its importance.

xAI has the opportunity to provide an incredible strategic and financial bolstering to Tesla, especially with how important a role data plays in the development of the company’s biggest products.

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Jonas wrote in a note to investors:

“They’re gonna have to revisit this. We don’t think investors understand just how important xAI is to Tesla and the broader Muskonomy. Tesla’s relationship with xAI (financially and strategically) is deterministic to the long-term success of Tesla due in part to the natural synergies of data, software, hardware, and manufacturing in recursive loops. The values (and value systems) of both Tesla and xAI are endowed by the values of their shared creator. We believe this co-determination becomes more obvious in the next phases of physical AI/ autonomy for Tesla in the year ahead.”

Musk said, in response to Jonas’ note, that his companies are “surprisingly in some ways, trending toward convergence.”

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Mergers and shared ecosystems between companies are not new moves out of Musk’s playbook, as it has been done in the past, especially with Tesla acquiring other entities.

It did it with SolarCity in 2016 and with Maxwell Technologies in 2019. Investments between Musk companies have occurred before, too, as SpaceX dumped $2 billion into xAI last July.

He’s also said on several occasions that he could eventually bring everything together into some sort of single entity. In July 2024, he said:

“I’m not opposed to the idea in principle, but I’m not sure there is a pragmatic or legal way to merge them. There is also value in equity incentives of people at the companies being tied to that company’s accomplishments.”

This point is especially relevant now with Musk’s recently approved compensation package.

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He also said in June, during an interview with CNBC , that “It’s not out of the question” for xAI to merge with Tesla, but it would have to be approved by shareholders. Just a few days later, he said he would not support xAI merging with Tesla; however, he put it in investors’ hands.

It’s more than just a deal; it’s symbiotic. Musk being at the helm of various companies, all intertwined with one another, helps foster recursive innovation. Despite these advantages, there are still a handful of things to consider, especially from a regulatory perspective.

However, it is not competition; it’s convergence. In Musk’s universe, especially from a business sense, mergers are not endpoints, but instead launchpads for ambitions that aim to take each company from Earth to lands beyond our atmosphere.

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Tesla makes Elon Musk’s new compensation package official

This is an important thing to note, as much of the media coverage regarding Musk’s pay package seems to indicate that the company and the shareholders are simply giving the CEO the money. He has to come through on each of these tranches to unlock the $1 trillion.

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Credit: @JoeTegtmeyer/X

Tesla has made CEO Elon Musk’s new compensation package official, as it filed a Form 4 with the Securities and Exchange Commission (SEC) on Monday.

The package officially gives Musk the opportunity to acquire over 423 million shares of Tesla stock (NASDAQ: TSLA), dependent on his ability to achieve twelve performance-based tranches that will bring growth to the company and its shareholders.

Tesla (TSLA) shareholders officially approve Elon Musk’s 2025 performance award

Musk’s new compensation package was approved by investors last Thursday at the company’s Annual Shareholder Meeting, as over 75 percent of voters supported the CEO’s new plan, which could be valued at over $1 trillion if he is able to come through on all twelve tranches.

The twelve tranches include growth goals related to vehicle deliveries, the Optimus humanoid robot project, and Tesla’s valuation. If Musk is able to achieve each tranche, he would help Tesla achieve an over $8 trillion market cap.

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The 12 tranches include:

  1. $2 trillion market cap + Deliver 20 million Tesla vehicles cumulatively
  2. $2.5 trillion market cap + Reach 10 million active Full Self-Driving (FSD) subscriptions
  3. $3 trillion market cap + Deliver 1 million Optimus humanoid robots
  4. $3.5 trillion market cap + Operate 1 million Robotaxis commercially
  5. $4 trillion market cap + Hit $50 billion in adjusted EBITDA (earnings before interest, taxes, etc.)
  6. $4.5 trillion market cap + Hit $80 billion in adjusted EBITDA
  7. $5 trillion market cap + Hit $130 billion in adjusted EBITDA
  8. $5.5 trillion market cap + Hit $210 billion in adjusted EBITDA
  9. $6 trillion market cap + Hit $300 billion in adjusted EBITDA
  10. $6.5 trillion market cap + Hit $400 billion in adjusted EBITDA
  11. $7.5 trillion market cap + Hit $400 billion in adjusted EBITDA for four straight quarters in a row
  12. $8.5 trillion market cap + Hit $400 billion in adjusted EBITDA for four straight quarters in a row

Achieving the twelve levels of the new compensation package would also give Musk what he’s really after: a larger ownership share in Tesla, which would help him achieve more control, something he feels is necessary for the rollout of the Optimus robot “army.”

Musk does not earn a dime if he does not achieve any of the tranches above.

This is an important thing to note, as much of the media coverage regarding Musk’s pay package seems to indicate that the company and the shareholders are simply giving the CEO the money. He has to come through on each of these tranches to unlock the $1 trillion.

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