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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 wins top loyalty and conquest honors in S&P Global Mobility 2025 awards
The electric vehicle maker secured this year’s “Overall Loyalty to Make,” “Highest Conquest Percentage,” and “Ethnic Loyalty to Make” awards.
Tesla emerged as one of the standout winners in the 2025 S&P Global Mobility Automotive Loyalty Awards, capturing top honors for customer retention and market conquest.
The electric vehicle maker secured this year’s “Overall Loyalty to Make,” “Highest Conquest Percentage,” and “Ethnic Loyalty to Make” awards.
Tesla claims loyalty crown
According to S&P Global Mobility, Tesla secured its 2025 “Overall Loyalty to Make” award following a late-year shift in consumer buying patterns. This marked the fourth consecutive year Tesla has received the honor. S&P Global Mobility’s annual analysis reviewed 13.6 million new retail vehicle registrations in the U.S. from October 2024 through September 2025, as noted in a press release.
In addition to overall loyalty, Tesla also earned the “Highest Conquest Percentage” award for the sixth consecutive year, highlighting the company’s continued ability to attract customers away from competing brands. This achievement is particularly notable given Tesla’s relatively small vehicle lineup, which is largely dominated by just two models: the Model 3 and Model Y.
Ethnic market strength and conquest
Tesla also captured top honors for “Ethnic Market Loyalty to Make,” a category that highlighted especially strong retention among Asian and Hispanic households. According to the analysis, Tesla achieved loyalty rates of 63.6% among Asian households and 61.9% among Hispanic households. These figures exceeded national averages.
S&P Global Mobility executives noted that loyalty margins across categories were exceptionally narrow in 2025, underscoring the significance of Tesla’s wins in an increasingly competitive market. Joe LaFeir, President of Mobility Business Solutions at S&P Global Mobility, shared his perspective on this year’s results.
“For 30 years, this analysis has provided a fact-based measure of brand health, and this year’s results are particularly telling. The data shows the market is not rewarding just one type of strategy. Instead, we see sustained, high-level performance from manufacturers with broad portfolios. In the current market, retaining customers remains a critical performance indicator for the industry,” LaFeir said.
Elon Musk
Elon Musk’s lawsuit against OpenAI and Microsoft is heading to jury trial
The ruling keeps alive claims that OpenAI misled the Tesla CEO about its charitable purpose while accepting billions of dollars in funding.
OpenAI Inc. and Microsoft will face a jury trial this spring after a federal judge rejected their efforts to dismiss Elon Musk’s lawsuit, which accuses the artificial intelligence startup of abandoning its original nonprofit mission. The ruling keeps alive claims that OpenAI misled the Tesla CEO about its charitable purpose while accepting billions of dollars in funding.
As noted in a report from Bloomberg News, a federal judge in Oakland, California, ruled that OpenAI Inc. and Microsoft failed to show that Musk’s claims should be dismissed. U.S. District Judge Yvonne Gonzalez Rogers stated that while the evidence remains unclear, Musk has maintained that OpenAI “had a specific charitable purpose and that he attached two fundamental terms to it: that OpenAI be open source and that it would remain a nonprofit — purposes consistent with OpenAI’s charter and mission.”
Judge Gonzalez Rogers also rejected an argument by OpenAI suggesting that Musk’s use of an intermediary to donate $38 million in seed money to the company stripped him of legal standing. “Holding otherwise would significantly reduce the enforcement of a large swath of charitable trusts, contrary to the modern trend,” Judge Gonzalez Rogers wrote.
The judge also declined to dismiss Musk’s fraud allegations, citing internal OpenAI communications from 2017 involving co-founder Greg Brockman. In an email cited by the judge, fellow OpenAI board member Shivon Zilis informed Musk that Brockman would “like to continue with the non-profit structure.”
Just two months later, however, Brockman wrote in a private note that he “cannot say that we are committed to the non-profit. don’t want to say that we’re committed. if three months later we’re doing b-corp then it was a lie.”
Marc Toberoff, a member of Musk’s legal team, said Judge Gonzalez Rogers’s ruling confirms that “there is substantial evidence that OpenAI’s leadership made knowingly false assurances to Mr. Musk about its charitable mission that they never honored in favor of their personal self-enrichment.”
OpenAI, for its part, maintained that Musk’s legal efforts are baseless. In a statement, the AI startup said it is looking forward to the upcoming trial. “Mr. Musk’s lawsuit continues to be baseless and a part of his ongoing pattern of harassment, and we look forward to demonstrating this at trial. We remain focused on empowering the OpenAI Foundation, which is already one of the best-resourced nonprofits ever,” OpenAI stated.
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Tesla arsonist who burned Cybertruck sees end of FAFO journey
The man has now reached the “Find Out” stage.
A Mesa, Arizona man has been sentenced to five years in federal prison for setting fire to a Tesla location and vehicle in a politically motivated arson attack, federal prosecutors have stated.
The April 2025 incident destroyed a Tesla Cybertruck, endangered first responders, and triggered mandatory sentencing under federal arson laws.
A five-year sentence
U.S. District Judge Diane J. Humetewa sentenced Ian William Moses, 35, of Mesa, Arizona, to 5 years in prison followed by 3 years of supervised release for maliciously damaging property and vehicles by means of fire. Moses pleaded guilty in October to all five counts brought by a federal grand jury. Restitution will be determined at a hearing scheduled for April 13, 2026.
As per court records, surveillance footage showed Moses arriving at a Tesla store in Mesa shortly before 2 a.m. on April 28, 2025, carrying a gasoline can and backpack. Investigators stated that he placed fire starter logs near the building, poured gasoline on the structure and three vehicles, and ignited the fire. The blaze destroyed a Tesla Cybertruck. Moses fled the scene on a bicycle and was arrested by Mesa police about a quarter mile away, roughly an hour later.
Authorities said Moses was still wearing the same clothing seen on camera at the time of his arrest and was carrying a hand-drawn map marking the dealership’s location. Moses also painted the word “Theif” on the walls of the Tesla location, prompting jokes from social media users and Tesla community members.
The “Finding Out” stage
U.S. Attorney Timothy Courchaine noted that Moses’ sentence reflects the gravity of his crime. He also highlighted that arson is never acceptable.
“Arson can never be an acceptable part of American politics. Mr. Moses’ actions endangered the public and first responders and could have easily turned deadly. This five-year sentence reflects the gravity of these crimes and makes clear that politically fueled attacks on Arizona’s communities and businesses will be met with full accountability.”
Maricopa County Attorney Rachel Mitchell echoed the same sentiments, stating that regardless of Moses’ sentiments towards Elon Musk, his actions are not defensible.
“This sentence sends a clear message: violence and intimidation have no place in our community. Setting fire to a business in retaliation for political or personal grievances is not protest, it is a crime. Our community deserves to feel safe, and this sentence underscores that Maricopa County will not tolerate political violence in any form.”
Tesla wins top loyalty and conquest honors in S&P Global Mobility 2025 awards
Elon Musk’s lawsuit against OpenAI and Microsoft is heading to jury trial
