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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 starts laying the groundwork for FSD tests in Austria
The job opening comes as the company pushes regulatory approvals and data collection in new European markets.
Tesla seems to be ramping its efforts to hire key personnel for FSD’s eventual expansion in Europe. This was hinted at in a new job listing for a vehicle operator role in Vienna, Austria.
The job opening comes as the company pushes regulatory approvals and data collection in new European markets.
Vienna’s vehicle operator role
Tesla posted the job for “Fahrer (Vehicle Operator) (m/w/d)” in its Vienna office on its Careers website, seeking candidates to drive and monitor test vehicles as part of the Autopilot and AI team. The role involves collecting real-world driving data to refine Full Self-Driving systems for the country’s local roads. Responsibilities include operating vehicles in urban and highway environments, documenting system performance, among other tasks.
Applicants need a valid Austrian driver’s license and at least two years of driving experience. Fluency in English is essential, along with a familiarity with driver assist systems. Tesla noted that the position offers a minimum annual gross salary of EUR 32,000, though relevant professional experience and qualifications will be taken into account. Similar to other Tesla roles, the position also offers TSLA stock as an incentive.
Tesla’s FSD Push in Europe
Tesla’s FSD efforts in Europe have accelerated in recent months, with significant progress in Spain serving as a key milestone. In July 2025, Spain’s Directorate-General for Traffic launched the ES-AV framework to standardize automated vehicle testing, authorizing Tesla for nationwide FSD trials with 19 vehicles under Phase 3, which allows optional onboard safety operators and remote monitoring.
-->The program, running through November 2027, aims to position Spain as a leader in the field, as DGT stated: “The program is designed to complement and enhance oversight, regulation, research, and transparency efforts, as well as to support innovation and advancements in automotive technology and industry.”
Beyond Spain, Tesla has conducted FSD demonstrations in Germany, France and Italy for consumers, while pursuing national approval in the Netherlands for early 2026.
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Tesla Semi factory looks almost complete during Thanksgiving weekend
Based on recent drone videos, the Tesla Semi factory looks practically ready to start operations.
It appears that the Tesla Semi factory near Giga Nevada is already hard at work preparing for the initial production of the Class 8 all-electric truck. This was, at least, hinted at in a recent drone flyover of the facility from a longtime watcher.
The Tesla Semi factory after Thanksgiving
Drone operator and Tesla Semi advocate @HinrichsZane recently shared some footage he captured of the upcoming facility during the Thanksgiving weekend. Based on his video, it appears that Tesla gave its employees in the area the weekend off. One thing is evident from the video, however, and that is the fact that the Tesla Semi factory looks practically ready to start operations.
The Tesla Semi watcher did point out that the electric vehicle maker is still busy bringing in production equipment into the facility itself. Once these are installed, it would not be surprising if initial production of the Tesla Semi begins.
A new Tesla Semi
The upcoming completion of the Tesla Semi factory near Gigafactory Nevada seems all but inevitable in the coming months. What would be especially interesting, however, would be the vehicles that would be produced on the site. During Elon Musk’s presentation at the 2025 Annual Shareholder Meeting, a glimpse of the production Tesla Semi was shown, and it looks quite a bit different than the Class 8 all-electric truck’s classic appearance.
As could be seen in the graphic from the CEO’s presentation, the updated Tesla Semi will feature slim lightbar headlights similar to the new Tesla Model Y, Cybertruck, and the Cybercab. Tesla also teased a number of aerodynamic improvements that increased the truck’s efficiency to 1.7 kWh per mile. Extended camera units, seemingly for FSD, could also be seen in the graphic.
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Tesla scores major hire as Apple scientist moves to Optimus team
Chen, who advanced from individual contributor to technical lead during his time at Apple, noted that he was blown away by Tesla’s efforts and synergy.
Former Apple research scientist Yilun Chen has left the tech giant to join Tesla’s Optimus AI team. Chen, who advanced from individual contributor to technical lead during his time at Apple, noted that he was blown away by Tesla’s efforts and synergy.
Apple veteran closes a major chapter
In a farewell note, Yilun Chen reflected on his tenure at Apple as a period defined by rapid growth and exposure to notable internal projects, some of which remain unreleased. His roles spanned engineering, research, early product incubation, and hands-on prototyping, allowing him to build expertise across both mature and emerging teams.
Chen credited mentors, colleagues, and cross-functional collaborators for shaping his trajectory, calling the experience unforgettable and emphasizing how each team taught him different lessons about scaling technology, guiding product vision, and navigating fast-moving research environments. “Each role has offered me invaluable unique lessons… My deepest gratitude goes to my colleagues, mentors and friends,” he wrote.
Tesla’s Optimus lab secured the hire
Chen said the move to Tesla was driven by the momentum surrounding Optimus, a humanoid robot powered by LLM-driven reasoning and Physical AI. After visiting Tesla’s Optimus lab, he admitted that he was “totally blown away by the scale and sophistication of the Optimus lab and deep dedication of people when I got to visit the office.”
His first week at Tesla, he noted, involved spontaneous deep-tech discussions, a flat team structure, rapid prototyping cycles, and what he called a “crazy ideas with super-fast iterations” culture. Chen emphasized that the team’s ambition, as well as its belief that humanoid robots are now within reach, creates an energy level that feels aimed at changing the world.
-->“You can feel the energy to change the world here,” he wrote in a post on social media.
Tesla starts laying the groundwork for FSD tests in Austria
Tesla Semi factory looks almost complete during Thanksgiving weekend
