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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.
Tesla recently released Full Self-Driving (FSD) v14.2.1, its latest version, but the tinkering with Speed Profiles has perhaps gone too far.
We try to keep it as real as possible with Full Self-Driving operation, and we are well aware that with the new versions, some things get better, but others get worse. It is all part of the process with FSD, and refinements are usually available within a week or so.
However, the latest v14.2.1 update has brought out some major complaints with Speed Profiles, at least on my end. It seems the adjustments have gone a tad too far, and there is a sizeable gap between Profiles that are next to one another.
Tesla FSD v14.2.1 first impressions:
✅ Smooth, stress-free highway operation
✅ Speed Profiles are refined — Hurry seems to be limited to 10 MPH over on highways. Switching from Mad Max to Hurry results in an abrupt braking pattern. Nothing of concern but do feel as if Speed…— TESLARATI (@Teslarati) November 29, 2025
The gap is so large that changing between them presents a bit of an unwelcome and drastic reduction in speed, which is perhaps a tad too fast for my liking. Additionally, Speed Profiles seem to have a set Speed Limit offset, which makes it less functional in live traffic situations.
Before I go any further, I’d like to remind everyone reading this that what I am about to write is purely my opinion; it is not right or wrong, or how everyone might feel. I am well aware that driving behaviors are widely subjective; what is acceptable to one might be unacceptable to another.
Speed Profiles are ‘Set’ to a Speed
From what I’ve experienced on v14.2.1, Tesla has chosen to go with somewhat of a preset max speed for each Speed Profile. With ‘Hurry,’ it appears to be 10 MPH over the speed limit, and it will not go even a single MPH faster than that. In a 55 MPH zone, it will only travel 65 MPH. Meanwhile, ‘Standard’ seems to be fixed at between 4-5 MPH over.
This is sort of a tough thing to have fixed, in my opinion. The speed at which the car travels should not be fixed; it should be more dependent on how traffic around it is traveling.
-->It almost seems as if the Speed Profile chosen should be more of a Behavior Profile. Standard should perform passes only to traffic that is slower than the traffic. If traffic is traveling at 75 MPH in a 65 MPH zone, the car should travel at 75 MPH. It should pass traffic that travels slower than this.
Hurry should be more willing to overtake cars, travel more than 10 MPH over the limit, and act as if someone is in a hurry to get somewhere, hence the name. Setting strict limits on how fast it will travel seems to be a real damper on its capabilities. It did much better in previous versions.
Some Speed Profiles are Too Distant from Others
This is specifically about Hurry and Mad Max, which are neighbors in the Speed Profiles menu. Hurry will only go 10 MPH over the limit, but Mad Max will travel similarly to traffic around it. I’ve seen some people say Mad Max is too slow, but I have not had that opinion when using it.
In a 55 MPH zone during Black Friday and Small Business Saturday, it is not unusual for traffic around me to travel in the low to mid-80s. Mad Max was very suitable for some traffic situations yesterday, especially as cars were traveling very fast. However, sometimes it required me to “gear down” into Hurry, especially as, at times, it would try to pass slower traffic in the right lane, a move I’m not super fond of.
We had some readers also mention this to us:
-->The abrupt speed reduction when switching to a slower speed profile is definitely an issue that should be improved upon.
— David Klem (@daklem) November 29, 2025
After switching from Mad Max to Hurry, there is a very abrupt drop in speed. It is not violent by any means, but it does shift your body forward, and it seems as if it is a tad drastic and could be refined further.
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Tesla’s most affordable car is coming to the Netherlands
The trim is expected to launch at €36,990, making it the most affordable Model 3 the Dutch market has seen in years.
Tesla is preparing to introduce the Model 3 Standard to the Netherlands this December, as per information obtained by AutoWeek. The trim is expected to launch at €36,990, making it the most affordable Model 3 the Dutch market has seen in years.
While Tesla has not formally confirmed the vehicle’s arrival, pricing reportedly comes from a reliable source, the publication noted.
Model 3 Standard lands in NL
The U.S. version of the Model 3 Standard provides a clear preview of what Dutch buyers can expect, such as a no-frills configuration that maintains the recognizable Model 3 look without stripping the car down to a bare interior. The panoramic glass roof is still there, the exterior design is unchanged, and Tesla’s central touchscreen-driven cabin layout stays intact.
Cost reductions come from targeted equipment cuts. The American variant uses fewer speakers, lacks ventilated front seats and heated rear seats, and swaps premium materials for cloth and textile-heavy surfaces. Performance is modest compared with the Premium models, with a 0–100 km/h sprint of about six seconds and an estimated WLTP range near 550 kilometers.
Despite the smaller battery and simpler suspension, the Standard maintains the long-distance capability drivers have come to expect in a Tesla.
-->Pricing strategy aligns with Dutch EV demand and taxation shifts
At €36,990, the Model 3 Standard fits neatly into Tesla’s ongoing lineup reshuffle. The current Model 3 RWD has crept toward €42,000, creating space for a more competitive entry-level option, and positioning the new Model 3 Standard comfortably below the €39,990 Model Y Standard.
The timing aligns with rising Dutch demand for affordable EVs as subsidies like SEPP fade and tax advantages for electric cars continue to wind down, EVUpdate noted. Buyers seeking a no-frills EV with solid range are then likely to see the new trim as a compelling alternative.
With the U.S. variant long established and the Model Y Standard already available in the Netherlands, the appearance of an entry-level Model 3 in the Dutch configurator seems like a logical next step.
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Tesla Model Y is still China’s best-selling premium EV through October
The premium-priced SUV outpaced rivals despite a competitive field, while the Model 3 also secured an impressive position.
The Tesla Model Y led China’s top-selling pure electric vehicles in the 200,000–300,000 RMB segment through October 2025, as per Yiche data compiled from China Passenger Car Association (CPCA) figures.
The premium-priced SUV outpaced rivals despite a competitive field, while the Model 3 also secured an impressive position.
The Model Y is still unrivaled
The Model Y’s dominance shines in Yiche’s October report, topping the chart for vehicles priced between 200,000 and 300,000 RMB. With 312,331 units retailed from January through October, the all-electric crossover was China’s best-selling EV in the 200,000–300,000 RMB segment.
The Xiaomi SU7 is a strong challenger at No. 2 with 234,521 units, followed by the Tesla Model 3, which achieved 146,379 retail sales through October. The Model Y’s potentially biggest rival, the Xiaomi YU7, is currently at No. 4 with 80,855 retail units sold.
Efficiency kings
The Model 3 and Model Y recently claimed the top two spots in Autohome’s latest real-world energy-consumption test, outperforming a broad field of Chinese-market EVs under identical 120 km/h cruising conditions with 375 kg payload and fixed 24 °C cabin temperature. The Model 3 achieved 20.8 kWh/100 km while the Model Y recorded 21.8 kWh/100 km, reaffirming Tesla’s efficiency lead.
The results drew immediate attention from Xiaomi CEO Lei Jun, who publicly recognized Tesla’s advantage while pledging continued refinement for his brand’s lineup.
-->“The Xiaomi SU7’s energy consumption performance is also very good; you can take a closer look. The fact that its test results are weaker than Tesla’s is partly due to objective reasons: the Xiaomi SU7 is a C-segment car, larger and with higher specifications, making it heavier and naturally increasing energy consumption. Of course, we will continue to learn from Tesla and further optimize its energy consumption performance!” Lei Jun wrote in a post on Weibo.
Tesla tinkering with Speed Profiles on FSD v14.2.1 has gone too far
Tesla’s most affordable car is coming to the Netherlands
