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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)

Published

5 years ago

August 13, 2020

Dacia J. Ferris

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.”

: A method flow chart from Tesla’s autonomous 3D labeling patent. | Image: Tesla/USPTO

: A method flow chart from Tesla’s Smart Summon patent application. | Image: Tesla/USPTO

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.”

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.

Related Topics:Elon Musk Featured Tesla Tesla Summon

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Dacia J. Ferris

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.

Comments

Cybertruck

Tesla Cybertruck is getting a big security upgrade

“Cybertruck was not 100% carryover in execution like S3XY, so it required work.”

Published

2 hours ago

August 14, 2025

Joey Klender

Credit: Tesla

Tesla confirmed today that a massive Cybertruck security feature is on the way soon, and it is one that owners have been asking about for a long time.

Like all Teslas, Cybertruck has the excellent security feature known as “Sentry Mode.” The feature essentially turns your Tesla into a moving security camera, recording any event that happens nearby.

It has been used to solve crimes such as vandalism and burglary, and even used by police departments to solve other, high-profile crimes.

Tesla quietly added this extra Sentry Mode feature to deter vandals

However, Cybertruck has been missing one key feature of Sentry Mode: the use of the B-Pillar camera has not been enabled, leaving one of the most vandalized and targeted vehicles in the United States with a weakness.

One person who has been vocal about it is Tesla Cybertruck enthusiast Greggertruck, who has been pushing for answers for months. He finally got his answer from Cybertruck Vehicle Program Manager Siddhant Awasthi:

“It will come soon! Cybertruck was not 100% carryover in execution like SX3Y so it required work. Team has finished work on this and just need to make sure it’s validated and runs reliably (which it should for its feature).”

It will come soon! Cybertruck was not 100% carryover in execution like SX3Y so it required work. Team has finished work on this and just need to make sure it’s validated and runs reliably (which it should for its feature)
— Siddhant Awasthi (@siddawa) August 14, 2025

It sounds as if Tesla’s issue was something they similarly experienced when deploying Full Self-Driving to Cybertruck. The other four Tesla vehicles were able to use FSD because they’re all relatively similar in ride height and overall functionality. They share tons of similarities.

Cybertruck did not get FSD right away because Tesla still had to work on the differences between it and the other cars in the lineup. As Awasthi said, “Cybertruck was not 100% carryover in execution like S3XY, so it required work.”

Tesla Cybertruck FSD release expected for Sept, Park Assist to come first

It sounds as if Tesla is close to resolving some of the more intricate details of adding the functionality, and it was just a matter of time before it figured out the issue.

The release of the B-Pillar camera being active during Sentry Mode events on Cybertruck will likely come in a software update in the coming weeks.

Investor's Corner

Tesla investors may be in for a big surprise

All signs point toward a strong quarter for Tesla in terms of deliveries. Investors could be in for a surprise.

Published

5 hours ago

August 14, 2025

Joey Klender

(Credit: Tesla)

Tesla investors have plenty of things to be ecstatic about, considering the company’s confidence in autonomy, AI, robotics, cars, and energy. However, many of them may be in for a big surprise as the end of the $7,500 EV tax credit nears. On September 30, it will be gone for good.

This has put some skepticism in the minds of some investors: the lack of a $7,500 discount for buying a clean energy vehicle may deter many people from affording Tesla’s industry-leading EVs.

Tesla warns consumers of huge, time-sensitive change coming soon

The focus on quarterly deliveries, while potentially waning in terms of importance to the future, is still a big indicator of demand, at least as of now. Of course, there are other factors, most of them economic.

The big push to make the most of the final quarter of the EV tax credit is evident, as Tesla is reminding consumers on social media platforms and through email communications that the $7,500 discount will not be here forever. It will be gone sooner rather than later.

It appears the push to maximize sales this quarter before having to assess how much they will be impacted by the tax credit’s removal is working.

Delivery Wait Time Increases

Wait times for Tesla vehicles are increasing due to what appears to be increased demand for the company’s vehicles. Recently, Model Y delivery wait times were increased from 1-3 weeks to 4-6 weeks.

This puts extra pressure on consumers to pull the trigger on an order, as delivery must be completed by the cutoff date of September 30.

Delivery wait times may have gone up due to an increase in demand as consumers push to make a purchase before losing that $7,500 discount.

More People are Ordering

A post on X by notable Tesla influencer Sawyer Merritt anecdotally shows he has been receiving more DMs than normal from people stating that they’re ordering vehicles before the end of the tax credit:

Anecdotally, I’ve been getting more DMs from people ordering Teslas in the past few days than I have in the last couple of years. As expected, the end of the U.S. EV credit next month is driving a big surge in orders.
Lease prices are rising for the 3/Y, delivery wait times are… pic.twitter.com/Y6JN3w2Gmr
— Sawyer Merritt (@SawyerMerritt) August 13, 2025

It’s not necessarily a confirmation of more orders, but it could be an indication that things are certainly looking that way.

Why Investors Could Be Surprised

Tesla investors could see some positive movement in stock price following the release of the Q3 delivery report, especially if all signs point to increased demand this quarter.

We reported previously that this could end up being a very strong rebounding quarter for Tesla, with so many people taking advantage of the tax credit.

Whether the delivery figures will be higher than normal remains to be seen. But all indications seem to point to Q3 being a very strong quarter for Tesla.

Elon Musk

Tesla bear Guggenheim sees nearly 50% drop off in stock price in new note

Tesla bear Guggenheim does not see any upside in Robotaxi.

Published

6 hours ago

August 14, 2025

Joey Klender

Credit: Tesla

Tesla bear Guggenheim is still among the biggest non-believers in the company’s overall mission and its devotion to solving self-driving.

In a new note to investors on Thursday, analyst Ronald Jewsikow reiterated his price target of $175, a nearly 50 percent drop off, with a ‘Sell’ rating, all based on skepticism regarding Tesla’s execution of the Robotaxi platform.

A few days ago, Tesla CEO Elon Musk said the company’s Robotaxi platform would open to the public in September, offering driverless rides to anyone in the Austin area within its geofence, which is roughly 90 square miles large.

Tesla CEO Elon Musk confirms Robotaxi is opening to the public: here’s when

However, Jewsikow’s skepticism regarding this timeline has to do with what’s going on inside of the vehicles. The analyst was willing to give props to Robotaxi, saying that Musk’s estimation of a September public launch would be a “key step” in offering the service to a broader population.

Where Jewsikow’s real issue lies is with Tesla’s lack of transparency on the Safety Monitors, and how bulls are willing to overlook their importance.

Much of this bullish mentality comes from the fact that the Monitors are not sitting in the driver’s seat, and they don’t have anything to do with the overall operation of the vehicle.

Musk also said last month that reducing Safety Monitors could come “in a month or two.”

Instead, they’re just there to make sure everything runs smoothly.

Jewsikow said:

“While safety drivers will remain, and no timeline has been provided for their removal, bulls have been willing to overlook the optics of safety drivers in TSLA vehicles, and we see no reason why that would change now.”

He also commented on Musk’s recent indication that Tesla was working on a 10x parameter count that could help make Full Self-Driving even more accurate. It could be one of the pieces to Tesla solving autonomy.

Jewsikow added:

“Perhaps most importantly for investors bullish on TSLA for the fleet of potential FSD-enabled vehicles today, the 10x higher parameter count will be able to run on the current generation of FSD hardware and inference compute.”