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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.

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“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.”

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.

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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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SpaceX weighs Nasdaq listing as company explores early index entry: report

The company is reportedly seeking early inclusion in the Nasdaq-100 index.

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Credit: SpaceX/X

Elon Musk’s SpaceX is reportedly leaning toward listing its shares on the Nasdaq for a potential initial public offering (IPO) that could become the largest in history. 

As per a recent report, the company is reportedly seeking early inclusion in the Nasdaq-100 index. The update was reported by Reuters, citing people familiar with the matter.

According to the publication, SpaceX is considering Nasdaq as the venue for its eventual IPO, though the New York Stock Exchange is also competing for the listing. Neither exchange has reportedly been informed of a final decision.

Reuters has previously reported that SpaceX could pursue an IPO as early as June, though the company’s plans could still change.

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One of the publication’s sources also suggested that SpaceX is targeting a valuation of about $1.75 trillion for its IPO. At that level, the company would rank among the largest publicly traded firms in the United States by market capitalization.

Nasdaq has proposed a rule change that could accelerate the inclusion of newly listed megacap companies into the Nasdaq-100 index.

Under the proposed “Fast Entry” rule, a newly listed company could qualify for the index in less than a month if its market capitalization ranks among the top 40 companies already included in the Nasdaq-100.

If SpaceX is successful in achieving its target valuation of $1.75 trillion, it would become the sixth-largest company by market value in the United States, at least based on recent share prices. 

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Newly listed companies typically have to wait up to a year before becoming eligible for major indexes such as the Nasdaq-100 or S&P 500.

Inclusion in a major index can significantly broaden a company’s shareholder base because many institutional investors purchase shares through index-tracking funds.

According to Reuters, Nasdaq’s proposed fast-track rule is partly intended to attract highly valued private companies such as SpaceX, OpenAI, and Anthropic to list on the exchange.

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The Boring Company’s Prufrock-2 emerges after completing new Vegas Loop tunnel

The new tunnel measures 2.28 miles, making it the company’s longest single Vegas Loop tunnel to date.

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Credit: The Boring Company/X

The Boring Company announced that its Prufrock-2 tunnel boring machine (TBM) has completed another Vegas Loop tunnel in Las Vegas. The company shared the update in a post on social media platform X.

According to The Boring Company’s post, the new tunnel measures 2.28 miles, making it the company’s longest single Vegas Loop tunnel to date.

The new tunnel marks the fourth tunnel constructed near Westgate Las Vegas as the Vegas Loop network continues expanding across the city.

The Boring Company also noted that the new tunnel surpassed its previous internal record of 2.26 miles for a single Vegas Loop segment.

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Construction of the tunnel involved moving roughly 68,000 cubic yards of dirt. The excavation process also used about 4.8 miles of continuous conveyor belt, powered by six motors totaling 825 horsepower.

The Boring Company’s Prufrock-series all-electric tunnel boring machines are designed to support the rapid expansion of company’s underground transportation projects, including the growing Vegas Loop network. Prufrock machines are designed for reusability, thanks in no small part to their capability to be deployed and retrieved easily through their “porposing” feature.

The Vegas Loop, specifically the Las Vegas Convention Center (LVCC) Loop segment, has already been used during major events. Most recently, the LVCC Loop supported the 2026 CONEXPO-CON/AGG construction trade show, which was held from March 3-7, 2026. 

As per The Boring Company, the LVCC Loop transported roughly 82,000 passengers across the convention center campus during the event’s duration. 

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CONEXPO-CON/AGG is one of the largest construction trade shows in North America, drawing more than 140,000 construction professionals from 128 countries this year.

The LVCC Loop forms the initial segment of the broader Vegas Loop network, which remains under active development as The Boring Company continues building new tunnels throughout the city.

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Tesla gathers Cybercab fleet in Gigafactory Texas

Images and video of the Cybercab fleet were shared by longtime Giga Texas observer Joe Tegtmeyer in posts on social media platform X.

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Credit: Credit: @JoeTegtmeyer/X

Tesla appears to be assembling a growing number of Cybercabs at Gigafactory Texas as preparations continue for the vehicle’s mass production. Recent footage shared online has shown over 30 Cybercabs being transported by trucks or staged near testing areas at the facility.

The images and video were shared by longtime Giga Texas observer and drone operator Joe Tegtmeyer in posts on social media platform X.

Interestingly enough, Tegtmeyer noted that many of the Cybercabs being loaded onto transport trucks were still equipped with steering wheels. This suggests that the vehicles are likely testing units rather than the final driverless configuration expected for the company’s Robotaxi service.

The vehicles could potentially be headed to testing sites across the United States as Tesla prepares to expand its Robotaxi fleet.

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Additional footage captured at Gigafactory Texas also showed the Cybercab’s side and rear camera washer system operating as vehicles were being loaded onto transport trucks.

The growing number of Cybercabs at Giga Texas comes amidst the company’s announcement that the first production Cybercab has been produced at the facility. Full Cybercab production is expected to begin in April.

The vehicle is expected to play a central role in Tesla’s Robotaxi ambitions as the company looks to expand autonomous ride-hailing operations beyond its early deployments using Model Y vehicles.

Tesla has also linked Cybercab production to its proposed Unboxed manufacturing process, which assembles large vehicle modules separately before integrating them. The approach is intended to reduce production costs and accelerate output.

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Musk has also noted that the Cybercab’s ramp will likely begin slowly due to the number of new components and manufacturing steps involved. However, he stated that once the process matures, Cybercab production could scale quickly.

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