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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 CEO Elon Musk outlines expectations for Cybercab production
“…initial production is always very slow and follows an S-curve. The speed of production ramp is inversely proportionate to how many new parts and steps there are. For Cybercab and Optimus, almost everything is new, so the early production rate will be agonizingly slow, but eventually end up being insanely fast.”
Tesla CEO Elon Musk outlined expectations for Cybercab production as the vehicle is officially set to start rolling off manufacturing lines at the company’s Giga Texas factory in less than 100 days.
Cybercab is specifically designed and catered to Tesla’s self-driving platform and Robotaxi ride-hailing service. The company has been pushing hard to meet its self-set expectations for rolling out an effective self-driving suite, and with the Cybercab coming in under 100 days, it now needs to push for Unsupervised Self-Driving in the same time frame.
Tesla CEO Elon Musk confirms Robotaxi is set to go unsupervised
This is especially pertinent because the Cybercab is expected to be built without a steering wheel or pedals, and although some executives have said they would build the car with those things if it were necessary.
However, Musk has maintained that the Cybercab will not have either of those things: it will have two seats and a screen, and that’s it.
With production scheduled for less than 100 days, Musk broke down what people should expect from the initial manufacturing phases, being cautiously optimistic about what the early stages will likely entail:
“…initial production is always very slow and follows an S-curve. The speed of production ramp is inversely proportionate to how many new parts and steps there are. For Cybercab and Optimus, almost everything is new, so the early production rate will be agonizingly slow, but eventually end up being insanely fast.”
Musk knows better than most about the challenges of ramping up production of vehicles. With the Model 3, Musk routinely refers to it as “production hell.” The Cybertruck, because of its polarizing design and stainless steel exterior, also presented challenges to Tesla.
With the important caveat that initial production is always very slow and follows an S-curve.
The speed of the production ramp is inversely proportionate to how many new parts and steps there are.
For Cybercab and Optimus, almost everything is new, so the early production…
— Elon Musk (@elonmusk) January 20, 2026
The Cybercab definitely presents an easier production process for Tesla, and the company plans to build millions of units per year.
Musk said back in October 2024:
“We’re aiming for at least 2 million units a year of Cybercab. That will be in more than one factory, but I think it’s at least 2 million units a year, maybe 4 million ultimately.”
When April comes, we will find out exactly how things will move forward with Cybercab production.
Tesla has revealed an awesome Model 3 and Model Y incentive to help consumers make the jump to one of its affordable mass-market vehicles, but it’s ending soon.
Tesla is offering one free upgrade on eligible inventory of the Model 3 and Model Y until February 2.
This would help buyers receive the most expensive paid option on the vehicle at no additional cost, meaning white interior or a more premium paint option will be free of charge if you take delivery on or before February 2.
Tesla states on its website for the offer:
“Only for limited inventory while supplies last. Price displayed on inventory listings already deducts the cost of the free option.”
Tesla says its one free upgrade offer on eligible U.S. inventory for the Model 3 and Model Y ends February 2.
With this incentive, buyers receive the most expensive paid option on the vehicle at no additional cost (up to $2k in savings). pic.twitter.com/IhoiURrsDI
— Sawyer Merritt (@SawyerMerritt) January 21, 2026
This latest incentive is just another advantage Tesla has by selling its vehicles directly and not using some sort of dealership model that relies on approvals from higher-ups. It is important to note that these programs are offered to help stimulate demand and push vehicles into customers’ hands.
It is not the only incentive Tesla is currently offering, either. In fact, there is a much larger incentive program that Tesla is working on, and it has to do with Full Self-Driving transfers, which could result in even more sales for the company through Q1.
Tesla is ending its FSD Transfer program on March 31, as it plans to transition to a Subscription-only basis with the self-driving suite for anyone who has not already purchased it outright.
This could help drive some on-the-fence buyers to new vehicles, but it remains to be seen. Given the timing of the program’s demise, it appears Tesla is hoping to use it to add additional sales and bolster a strong Q1 2026.
Interior and exterior paint colors can add up to $2,000 if you choose the most premium Ultra Red body color, or an additional $1,000 for the Black and White interior option. The discount, while small, could help get someone their preferred design configuration, instead of settling for something that is not quite what they want.
Tesla Full Self-Driving is getting an outrageous insurance offer with insanely cheap rates that will slash the cost of coverage by 50 percent.
Lemonade, a digital insurance company, has launched its first-of-a-kind product known as Lemonade Autonomous Car Insurance, and it is starting with an exclusive offer to FSD. The new offer will cut rates for FSD-engaged driving by “approximately 50 percent,” highlighting the data that shows a significantly safer driving environment when the suite is activated and engaged.
The company also said it plans to introduce even cheaper rates as Tesla continues to release more advanced FSD versions through software updates. Tesla has been releasing new FSD versions every few weeks, highlighting vast improvements for those who have the latest AI4 chip.
The announcement comes just a few months afterLemonade Co-Founder and President Shai Wininger said that he wanted to insure FSD vehicles for “almost free.” He said that Tesla’s API complemented Lemonade’s AI-based platform because it provides “richer and more accurate driving behavior data than traditional UBI devices.”
Tesla Full Self-Driving gets an offer to be insured for ‘almost free’
In mid-December, Lemonade then offered Tesla owners in California, Oregon, and Arizona the opportunity to connect their vehicles directly to the company’s app, which would provide a direct connection and would require a separate telematics device, which is required with other insurance providers who offer rates based on driving behaviors.
This latest development between Lemonade and Tesla is something that Wininger believes will be different because of the advanced nature of FSD:
“Traditional insurers treat a Tesla like any other car, and AI like any other driver. But a car that sees 360 degrees, never gets drowsy, and reacts in milliseconds can’t be compared to a human.”
He went on to say that the existing pay-per-mile product has given the company something that no traditional insurer has been able to offer. This comes through Lemonade’s “unique tech stack designed to collect massive amounts of real driving data for precise, dynamic pricing.”
The reputation FSD has gathered over the past few years is really impressive. Wininger backed this with some more compliments:
“Teslas driven with FSD are involved in far fewer accidents. By connecting to the Tesla onboard computer, our models are able to ingest incredibly nuanced sensor data that lets us price our insurance with higher precision than ever before.”
The product will begin its official rollout in Arizona on January 26. Oregon will get it a month later.
Tesla CEO Elon Musk outlines expectations for Cybercab production
Tesla reveals awesome Model 3 and Model Y incentive, but it’s ending soon
