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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 Model 3 and Model Y named top car buys in Norway

Despite growing competition from European and Korean brands, both models stood out for their balance of price, performance, and everyday usability.

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Credit: Grok Imagine

Norway’s annual roundup of the best car purchases featured Tesla’s two main sellers this year, with the Model 3 and Model Y securing top positions in their respective segments. 

Despite growing competition from European and Korean brands, both models stood out for their balance of price, performance, and everyday usability. The verdict comes as electric vehicle adoption remained above 95% of new vehicle sales in the country.

Tesla Model 3 strengthens its value position

Among compact EVs, the Tesla Model 3 maintained its position as the best overall buy thanks to its strong blend of performance, efficiency, and updated features. Reviewers noted that every trim offered compelling value, especially with the all-electric sedan’s improved cabin ergonomics and the return of the turn-signal stalk, which was one of the few previous complaints among drivers. 

The Model 3’s mix of long-range capability, low operating costs, and responsive handling has continued to set the benchmark for compact EVs in Norway. While competitors from Hyundai, Volkswagen, and Peugeot have narrowed the gap, Tesla’s price-to-capability ratio has remained difficult to beat in this segment, Motor.no reported.

“The Model 3 clearly offers the best value for money in the compact class, no matter which version you choose. Now it also gets the turn signal lever back. This eliminates one of the few flaws in a driving environment that many believe is the best on the market,” the publication wrote. 

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Tesla Model Y claims its crown

The Tesla Model Y emerged as Norway’s top family-car purchase this year. The latest refresh introduced improvements in ride quality, styling, and interior materials, allowing the Model Y to deliver a more premium driving experience without a substantial price increase. 

Reviewers praised its spacious cabin, strong safety profile, and practical range, all of which reinforced its appeal for families needing an all-purpose electric crossover. The Model Y remains especially notable given its continued popularity in Norway even as Tesla faces declining sales in other global markets.

“The Model Y is back as the winner in the family class. The upgrade in the new year was even more extensive than expected. It is a slightly more elegant and significantly more comfortable Model Y that solidifies its position as Norway’s best car purchase in the most important class,” the Norwegian motoring publication noted.

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Tesla Giga Berlin is still ramping production to meet Model Y demand: plant manager

Tesla Gigafactory Berlin has expanded to two full shifts, as per the facility’s plant manager, and a lot of it is due to Model Y demand.

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Credit: Tesla/X

Tesla Gigafactory Berlin has expanded to two full shifts, as per the facility’s plant manager, and a lot of it is due to Model Y demand. While registrations in some countries such as Sweden have fallen sharply this year, the company’s sales in other key territories have been rising. 

Giga Berlin shifts to two shifts

Giga Berlin factory manager André Thierig told the DPA that the facility has been running two shifts since September to manage a surge in global orders. And due to the tariff dispute with the United States, vehicles that are produced at Giga Berlin are now being exported to Canada. 

“We deliver to well over 30 markets and definitely see a positive trend there,” Thierig said.

Despite Giga Berlin now having two shifts, the facility’s production still needs to ramp up more. This is partly due to the addition of the Tesla Model Y Performance and Standard, which are also being produced in the Grunheide-based factory. Interestingly enough, Giga Berlin still only produces the Model Y, unlike other factories like Gigafactory Texas, the Fremont Factory, and Gigafactory Shanghai, which produce more than one type of vehicle. 

Norway’s momentum

Norway, facing an imminent tax increase on cars, has seen a historic spike in Tesla purchases as buyers rush to secure deliveries before the change takes effect, as noted in a CarUp report. As per recent reports, Tesla has broken Norway’s all-time annual sales record this month, beating Volkswagen’s record that has stood since 2016.

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What is rather remarkable is the fact that Tesla was able to achieve so much in Norway with one hand practically tied behind its back. This is because the company’s biggest sales draw, FSD, remains unavailable in the country. Fortunately, Tesla is currently hard at work attempting to get FSD approved for Europe, a notable milestone that should spur even more vehicle sales in the region.

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Tesla launches crazy Full Self-Driving free trial: here’s how you can get it

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tesla full self driving
Credit: Tesla

Tesla is launching a crazy Full Self-Driving free trial, which will enable owners who have not purchased the suite outright to try it for 30 days.

There are a handful of stipulations that will be needed in order for you to qualify for the free trial, which was announced on Thursday night.

Tesla said the trial is for v14, the company’s latest version of the Full Self-Driving suite, and will be available to new and existing Model S, Model 3, Model X, Model Y, and Cybertruck owners, who will have the opportunity to try the latest features, including Speed Profiles, Arrival Options, and other new upgrades.

You must own one of the five Tesla models, have Full Self-Driving v14.2 or later, and have an eligible vehicle in the United States, Puerto Rico, Mexico, or Canada.

The company said it is a non-transferable trial, which is not redeemable for cash. Tesla is reaching out to owners via email to give them the opportunity to enable the Full Self-Driving trial.

Those who are subscribed to the monthly Full Self-Driving program are eligible, so they will essentially get a free month of the suite.

Once it is installed, the trial will begin, and the 30-day countdown will begin.

Tesla is making a major push to increase its Full Self-Driving take rate, as it revealed that about 12 percent of owners are users of the program during its recent earnings call.

Tesla CFO Vaibhav Taneja said during the call:

“We feel that as people experience the supervised FSD at scale, demand for our vehicles, like Elon said, would increase significantly. On the FSD adoption front, we’ve continued to see decent progress. However, note that the total paid FSD customer base is still small, around 12% of our current fleet.”

Earlier today, we reported on Tesla also launching a small-scale advertising campaign on X for the Full Self-Driving suite, hoping to increase adoption.

Tesla Full Self-Driving warrants huge switch-up on essential company strategy

It appears most people are pretty content with the subscription program. It costs just $99 a month, in comparison to the $8,000 fee it is for the outright purchase.

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