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Tesla Smart Summon patent highlights progress in 3D labeling for full self-driving features
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.”
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- A method flow chart from Tesla’s autonomous 3D labeling patent. | Image: Tesla/USPTO
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- 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.
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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Tesla FSD (Supervised) blows away French journalist after test ride
Cadot described FSD as “mind-blowing,” both for the safety of the vehicle’s driving and the “humanity” of its driving behaviors.
Tesla’s Full Self-Driving (Supervised) seems to be making waves in Europe, with French tech journalist Julien Cadot recently sharing a positive first-hand experience from a supervised test drive in France.
Cadot, who tested the system for Numerama after eight years of anticipation since early Autopilot trials, described FSD as “mind-blowing,” both for the safety of the vehicle’s driving and the “humanity” of its driving behaviors.
Julien Cadot’s FSD test in France
Cadot announced his upcoming test on X, writing in French: “I’m going to test Tesla’s FSD for Numerama in France. 8 years I’ve been waiting to relive the sensations of our very first contact with the unbridled Autopilot of the 2016s.” He followed up shortly after with an initial reaction, writing: “I don’t want to spoil too much because as media we were allowed to film everything and I have a huge video coming… But: it’s mind-blowing! Both for safety and for the ‘humanity’ of the choices.”
His later posts detailed FSD’s specific maneuvers that he found particularly compelling. These include the vehicle safely overtaking a delivery truck by inches, something Cadot said he personally would avoid to protect his rims, but FSD handled flawlessly. He also praised FSD’s cyclist overtakes, as the system always maintained the required 1.5-meter distance by encroaching on the opposite lane when clear. Ultimately, Cadot noted FSD’s decision-making prioritized safety and advancement, which is pretty remarkable.
FSD’s ‘human’ edge over Autopilot
When asked if FSD felt light-years ahead of standard Autopilot, Cadot replied: “It’s incomparable, it’s not the same language.” He elaborated on scenarios like bypassing a parked delivery truck across a solid white line, where FSD assessed safety and proceeded just as a human driver might, rather than halting indefinitely. This “humanity” impressed Cadot the most, as it allowed FSD to fluidly navigate real-world chaos like urban Paris traffic.
Tesla is currently hard at work pushing for the rollout of FSD to several European countries. Recent reports have revealed that Tesla has received approval to operate 19 FSD test vehicles on Spain’s roads, though this number could increase as the program develops. As per the Dirección General de Tráfico (DGT), Tesla would be able to operate its FSD fleet on any national route across Spain. Recent job openings also hint at Tesla starting FSD tests in Austria. Apart from this, the company is also holding FSD demonstrations in Germany, France, and Italy.
Tesla Optimus showed off its newest capability as progress on the project continues to accelerate toward an ultimate goal of mass production in the coming years.
Tesla is still developing Optimus and preparing for the first stages of mass production, where units would be sold and shipped to customers. CEO Elon Musk has always marketed the humanoid robot as the biggest product in history, even outside of Tesla, but of all time.
He believes it will eliminate the need to manually perform monotonous tasks, like cleaning, mowing the lawn, and folding laundry.
However, lately, Musk has revealed even bigger plans for Optimus, including the ability to relieve humans of work entirely within the next 20 years.
JUST IN: Elon Musk says working will be ‘optional’ in less than 20 years because of AI and robotics. pic.twitter.com/l3S5kl5HBB
— Watcher.Guru (@WatcherGuru) November 30, 2025
Development at Tesla’s Artificial Intelligence and Robotics teams has progressed, and a new video was shown of the robot taking a light jog with what appeared to be some pretty natural form:
Just set a new PR in the lab pic.twitter.com/8kJ2om7uV7
— Tesla Optimus (@Tesla_Optimus) December 2, 2025
Optimus has also made several public appearances lately, including one at the Neural Information Processing Systems, or NeurIPS Conference. Some spectators shared videos of Optimus’s charging rig, as well as its movements and capabilities, most interestingly, the hand:
You have to hand it to Elon 🤟 pic.twitter.com/fZKDlmGAbe
— Ric Burton · NeurIPS 2025 (@_ricburton) December 2, 2025
The hand, forearm, and fingers have been one of the most evident challenges for Tesla in recent times, especially as it continues to work on its 3rd Generation iteration of Optimus.
Musk said during the Q3 Earnings Call:
“I don’t want to downplay the difficulty, but it’s an incredibly difficult thing, especially to create a hand that is as dexterous and capable as the human hand, which is incredible. The human hand is an incredible thing. The more you study the human hand, the more incredible you realize it is, and why you need four fingers and a thumb, why the fingers have certain degrees of freedom, why the various muscles are of different strengths, and fingers are of different lengths. It turns out that those are all there for a reason.”
The interesting part of the Optimus program so far is the fact that Tesla has made a lot of progress with other portions of the project, like movement, for example, which appears to have come a long way.
However, without a functional hand and fingers, Optimus could be rendered relatively useless, so it is evident that it has to figure this crucial part out first.
Elon Musk said in late November that he’s “tried to warn” legacy automakers and “even offered to license Tesla Full Self-Driving, but they don’t want it,” expressing frustration with companies that refuse to adopt the company’s suite, which will eventually be autonomous.
Tesla has long established itself as the leader in self-driving technology, especially in the United States. Although there are formidable competitors, Tesla’s FSD suite is the most robust and is not limited to certain areas or roadways. It operates anywhere and everywhere.
The company’s current position as the leader in self-driving tech is being ignored by legacy automakers, a parallel to what Tesla’s position was with EV development over a decade ago, which was also ignored by competitors.
The reluctance mirrors how legacy automakers initially dismissed EVs, only to scramble in catch-up mode years later–a pattern that highlights their historical underestimation of disruptive innovations from Tesla.
Elon Musk’s Self-Driving Licensing Attempts
Musk and Tesla have tried to push Full Self-Driving to other car companies, with no true suitors, despite ongoing conversations for years. Tesla’s FSD is aiming to become more robust through comprehensive data collection and a larger fleet, something the company has tried to establish through a subscription program, free trials, and other strategies.
Tesla CEO Elon Musk sends rivals dire warning about Full Self-Driving
However, competing companies have not wanted to license FSD for a handful of speculative reasons: competitive pride, regulatory concerns, high costs, or preference for in-house development.
Déjà vu All Over Again
Tesla tried to portray the importance of EVs long ago, as in the 2010s, executives from companies like Ford and GM downplayed the importance of sustainable powertrains as niche or unprofitable.
Musk once said in a 2014 interview that rivals woke up to electric powertrains when the Model S started to disrupt things and gained some market share. Things got really serious upon the launch of the Model 3 in 2017, as a mass-market vehicle was what Tesla was missing from its lineup.
This caused legacy companies to truly wake up; they were losing market share to Tesla’s new and exciting tech that offered less maintenance, a fresh take on passenger auto, and other advantages. They were late to the party, and although they have all launched vehicles of their own, they still lag in two major areas: sales and infrastructure, leaning on Tesla for the latter.
I’ve tried to warn them and even offered to license Tesla FSD, but they don’t want it! Crazy …
When legacy auto does occasionally reach out, they tepidly discuss implementing FSD for a tiny program in 5 years with unworkable requirements for Tesla, so pointless. 🤷♂️
🦕 🦕
— Elon Musk (@elonmusk) November 24, 2025
Musk’s past warnings have been plentiful. In 2017, he responded to critics who stated Tesla was chasing subsidies. He responded, “Few people know that we started Tesla when GM forcibly recalled all electric cars from customers in 2003 and then crushed them in a junkyard,” adding that “they would be doing nothing” on EVs without Tesla’s efforts.
Companies laughed off Tesla’s prowess with EVs, only to realize they had made a grave mistake later on.
It looks to be happening once again.
A Pattern of Underestimation
Both EVs and self-driving tech represent major paradigm shifts that legacy players view as threats to their established business models; it’s hard to change. However, these early push-aways from new tech only result in reactive strategies later on, usually resulting in what pains they are facing now.
Ford is scaling back its EV efforts, and GM’s projects are hurting. Although they both have in-house self-driving projects, they are falling well behind the progress of Tesla and even other competitors.
It is getting to a point where short-term risk will become a long-term setback, and they may have to rely on a company to pull them out of a tough situation later on, just as it did with Tesla and EV charging infrastructure.
Tesla has continued to innovate, while legacy automakers have lagged behind, and it has cost them dearly.
Implications and Future Outlook
Moving forward, Tesla’s progress will continue to accelerate, while a dismissive attitude by other companies will continue to penalize them, especially as time goes on. Falling further behind in self-driving could eventually lead to market share erosion, as autonomy could be a crucial part of vehicle marketing within the next few years.
Eventually, companies could be forced into joint partnerships as economic pressures mount. Some companies did this with EVs, but it has not resulted in very much.
Self-driving efforts are not only a strength for companies themselves, but they also contribute to other things, like affordability and safety.
Tesla has exhibited data that specifically shows its self-driving tech is safer than human drivers, most recently by a considerable margin. This would help with eliminating accidents and making roads safer.
Tesla’s new Safety Report shows Autopilot is nine times safer than humans
Additionally, competition in the market is a good thing, as it drives costs down and helps innovation continue on an upward trend.
Conclusion
The parallels are unmistakable: a decade ago, legacy automakers laughed off electric vehicles as toys for tree-huggers, crushed their own EV programs, and bet everything on the internal-combustion status quo–only to watch Tesla redefine the industry while they scrambled for billions in catch-up capital.
Today, the same companies are turning down repeated offers to license Tesla’s Full Self-Driving technology, insisting they can build better autonomy in-house, even as their own programs stumble through recalls, layoffs, and missed milestones. History is not merely rhyming; it is repeating almost note-for-note.
Elon Musk has spent twenty years warning that the auto industry’s bureaucratic inertia and short-term thinking will leave it stranded on the wrong side of technological revolutions. The question is no longer whether Tesla is ahead–it is whether the giants of Detroit, Stuttgart, and Toyota will finally listen before the next wave leaves them watching another leader pull away in the rear-view mirror.
This time, the stakes are not just market share; they are the very definition of what a car will be in the decades ahead.
Tesla FSD (Supervised) blows away French journalist after test ride
Tesla Optimus shows off its newest capability as progress accelerates
