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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 rolling out Robotaxi pilot in SF Bay Area this weekend: report

Similar to the Austin pilot, the Robotaxi rides will reportedly be a paid service.

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Credit: @AdanGuajardo/X

Tesla is reportedly preparing to launch a Robotaxi pilot program in the Bay Area this weekend, with invites to a select number of customers reportedly being sent out as early as this Friday.

The update was shared in a report from Insider, which cited an internal memo from the electric vehicle maker.

New Robotaxi service launch

According to Insider, the Robotaxi service in the Bay Area is set to launch as soon as Friday. Thus, some Tesla owners in the area should receive invites to use the driverless ride-hailing service. Similar to the Austin pilot, the Robotaxi rides will reportedly be a paid service.

The publication noted that the Robotaxi service’s geofence in its Bay Area launch will be quite large, as it will include Marin, much of the East Bay, San Francisco, and San Jose. This is not surprising as California has long been saturated with Teslas, and it is home to several of the electric vehicle maker’s key facilities.

Unlike the Austin pilot, the Tesla Robotaxi service’s pilot in the Bay Area will use safety drivers seated in the driver’s seat. These drivers will be able to manually take over using the steering wheel and brakes as needed. As per a spokesperson from the California DMV, the agency recently met with Tesla but the company is yet to submit a formal application to operate fully driverless cars. 

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Tesla Robotaxi expansion

Interestingly enough, Tesla did tease the release of its Robotaxi service to the Bay Area in its second quarter earnings call. While discussing the service, Tesla VP of Autopilot/AI Software Ashok Elluswamy mentioned that the company will initially be rolling out Robotaxis with safety drivers in the San Francisco Bay Area. He did, however, also highlight that the electric vehicle maker is working hard to get government permission to release the service for consumers.

“The next thing to expand would be in the San Francisco Bay Area. We are working with the government to get approval here and, in the meanwhile, launch the service without the person in the driver seat just to expedite and while we wait for regulatory approval,” he stated.

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Tesla is ready with a perfect counter to the end of US EV tax credits

Tesla executives have mentioned that these more affordable models would resemble the company’s current lineup.

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Credit: Tesla Asia/X

The United States’ electric vehicle tax credit is coming to an end at the end of the third quarter. Tesla, the country’s leading electric vehicle maker, is ready to meet this challenge with a rather simple but clever counter. 

Tesla executives outlined this strategy in the recently held Q2 2025 earnings call.

End of the US EV tax credit

While Elon Musk has always maintained that he prefers a market with no EV tax credit, he also emphasized that he supports the rollback of any incentives given to the oil and gas industry. The Trump administration has not done this so far, instead focusing on the expiration of the $7,500 EV tax credit at the end of the third quarter.

Tesla has been going all-in on encouraging customers to purchase their vehicles in Q3 to take advantage of lower prices. The company has also implemented a series of incentives across all its offerings, from the Cybertruck to the Model 3. This, however, is not all, as the company seems to be preparing a longer-term solution to the expiration of the EV tax credit.

Affordable variants

During the Q2 2025 earnings call, Vice President of Vehicle Engineering Lars Moray stated that Tesla really did start the production of more affordable models in June. Quality builds of these vehicles are being ramped this quarter, with the goal of optimizing production over the remaining months of the year. If Tesla is successful, these models will be available for everyone in Q4. 

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“We started production in June, and we’re ramping quality builds and things around the quarter. And given that we started in North America and our goal is to maximize production with a higher rate. So starting Q3, we’re going to keep pushing hard on our current models to avoid complexity… We’ll be ready with new, more affordable models available for everyone in Q4.,” Moravy stated. 

These comments suggest that Tesla should be able to offer vehicles that are competitively priced even after the EV tax credit has been phased out. Interestingly enough, previous comments from Tesla executives have mentioned that these more affordable models would resemble the company’s current lineup. This suggests that the more affordable models may indeed be variations of the Model Y and Model 3, but offered at a lower price.

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Elon Musk reveals Tesla’s next Robotaxi expansion in more ways than one

Tesla Robotaxi is growing in more ways than one. Tesla wants to expand and hopes to reach half the U.S. population by the end of the year.

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Credit: Tesla

Tesla CEO Elon Musk revealed the company’s plans for its next expansion of the Robotaxi in terms of both the geofence in Austin and the platform overall, as it looks to move to new areas outside of Texas.

Tesla launched the Robotaxi platform last month on June 22, and has since expanded both the pool of users and the area that the driverless Model Y vehicles can travel within.

The first expansion of the geofence caught the attention of nearly everyone and became a huge headline as Tesla picked a very interesting shape for the new geofence, resembling male reproductive parts.

The next expansion will likely absolve this shape. Musk revealed last night that the new geofence will be “well in excess of what competitors are doing,” and it could happen “hopefully in a week or two.”

Musk’s full quote regarding the expansion of the geofence and the timing was:

“As some may have noted, we have already expanded our service area in Austin. It’s bigger and longer, and it’s going to get even bigger and longer. We are expecting to greatly increase the service area to well in excess of what competitors are doing, hopefully in a week or two.”

The expansion will not stop there, either. As Tesla has operated the Robotaxi platform in Austin for the past month, it has been working with regulators in other areas, like California, Arizona, Nevada, and Florida, to get the driverless ride-hailing system activated in more U.S. states.

Tesla confirmed that they are in talks with each of these states regarding the potential expansion of Robotaxi.

Musk added:

“As we get the approvals and prove out safety, we will be launching the autonomous ride-hailing across most of the country. I think we will probably have autonomous ride-hailing in probably half the population of the US by the end of the year.”

We know that Tesla and Musk have been prone to aggressive and sometimes outlandish timelines regarding self-driving technology specifically. Regulatory approvals could happen by the end of the year in several areas, and working on these large metros is the best way to reach half of the U.S. population.

Tesla said its expansion of the geofence in Austin is conservative and controlled due to its obsession with safety, even admitting at one point during the Earnings Call that they are being “paranoid.” Expanding the geofence is necessary, but Tesla realizes any significant mistake by Robotaxi could take it back to square one.

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