News
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.
Cybertruck
Tesla drops latest hint that new Cybertruck trim is selling like hotcakes
According to Tesla’s Online Design Studio, the new All-Wheel-Drive Cybertruck will now be delivered in April 2027. Earlier orders are still slated for early this Summer, but orders from here on forward are now officially pushed into next year:
Tesla’s new Cybertruck offering has had its delivery date pushed back once again. This is now the second time, and deliveries for the newest orders are now pushed well into 2027.
According to Tesla’s Online Design Studio, the new All-Wheel-Drive Cybertruck will now be delivered in April 2027. Earlier orders are still slated for early this Summer, but orders from here on forward are now officially pushed into next year:
🚨 Tesla has updated the $59,990 Cybertruck Dual Motor AWD’s estimated delivery date to April 2027.
First deliveries are still slated for June, but if you order it now, you’ll be waiting over a year.
Demand appears to be off the charts for the new Cybertruck and consumers are… pic.twitter.com/raDCCeC0zP
— TESLARATI (@Teslarati) February 26, 2026
Just three days ago, the initial delivery date of June 2026 was pushed back to early Fall, and now, that date has officially moved to April 2027.
The fact that Tesla has had to push back deliveries once again proves one of two things: either Tesla has slow production plans for the new Cybertruck trim, or demand is off the charts.
Judging by how Tesla is already planning to raise the price based on demand in just a few days, it seems like the company knows it is giving a tremendous deal on this spec of Cybertruck, and units are moving quickly.
That points more toward demand and not necessarily to slower production plans, but it is not confirmed.
Tesla Cybertruck’s newest trim will undergo massive change in ten days, Musk says
Tesla is set to hike the price on March 1, so tomorrow will be the final day to grab the new Cybertruck trim for just $59,990.
It features:
- Dual Motor AWD w/ est. 325 mi of range
- Powered tonneau cover
- Bed outlets (2x 120V + 1x 240V) & Powershare capability
- Coil springs w/ adaptive damping
- Heated first-row seats w/ textile material that is easy to clean
- Steer-by-wire & Four Wheel Steering
- 6’ x 4’ composite bed
- Towing capacity of up to 7,500 lbs
- Powered frunk
Interestingly, the price offering is fairly close to what Tesla unveiled back in late 2019.
Elon Musk
Elon Musk outlines plan for first Starship tower catch attempt
Musk confirmed that Starship V3 Ship 1 (SN1) is headed for ground tests and expressed strong confidence in the updated vehicle design.
Elon Musk has clarified when SpaceX will first attempt to catch Starship’s upper stage with its launch tower. The CEO’s update provides the clearest teaser yet for the spacecraft’s recovery roadmap.
Musk shared the details in recent posts on X. In his initial post, Musk confirmed that Starship V3 Ship 1 (SN1) is headed for ground tests and expressed strong confidence in the updated vehicle design.
“Starship V3 SN1 headed for ground tests. I am highly confident that the V3 design will achieve full reusability,” Musk wrote.
In a follow-up post, Musk addressed when SpaceX would attempt to catch the upper stage using the launch tower’s robotic arms.
“Should note that SpaceX will only try to catch the ship with the tower after two perfect soft landings in the ocean. The risk of the ship breaking up over land needs to be very low,” Musk clarified.
His remarks suggest that SpaceX is deliberately reducing risk before attempting a tower catch of Starship’s upper stage. Such a milestone would mark a major step towards the full reuse of the Starship system.
SpaceX is currently targeting the first Starship V3 flight of 2026 this coming March. The spacecraft’s V3 iteration is widely viewed as a key milestone in SpaceX’s long-term strategy to make Starship fully reusable.Â
Starship V3 features a number of key upgrades over its previous iterations. The vehicle is equipped with SpaceX’s Raptor V3 engines, which are designed to deliver significantly higher thrust than earlier versions while reducing cost and weight.
The V3 design is also expected to be optimized for manufacturability, a critical step if SpaceX intends to scale the spacecraft’s production toward frequent launches for Starlink, lunar missions, and eventually Mars.
News
Tesla FSD (Supervised) could be approved in the Netherlands next month: Musk
Musk shared the update during a recent interview at Giga Berlin.
Tesla CEO Elon Musk shared that Full Self-Driving (FSD) could receive regulatory approval in the Netherlands as soon as March 20, potentially marking a major step forward for Tesla’s advanced driver-assistance rollout in Europe.
Musk shared the update during a recent interview at Giga Berlin, noting that the date was provided by local authorities.
“Tesla has the most advanced real-world AI, and hopefully, it will be approved soon in Europe. We’re told by the authorities that March 20th, it’ll be approved in the Netherlands,’ what I was told,” Musk stated.Â
“Hopefully, that date remains the same. But I think people in Europe are going to be pretty blown away by how good the Tesla car AI is in being able to drive.”
Tesla’s FSD system relies on vision-based neural networks trained on real-world driving data, allowing vehicles to navigate using cameras and AI rather than traditional sensor-heavy solutions.
The performance of FSD Supervised has so far been impressive. As per Tesla’s safety report, Full Self-Driving Supervised has already traveled 8.3 billion miles. So far, vehicles operating with FSD Supervised engaged recorded one major collision every 5,300,676 miles.
In comparison, Teslas driven manually with Active Safety systems recorded one major collision every 2,175,763 miles, while Teslas driven manually without Active Safety recorded one major collision every 855,132 miles. The U.S. average during the same period was one major collision every 660,164 miles.
If approval is granted on March 20, the Netherlands could become the first European market to greenlight Tesla’s latest supervised FSD (Supervised) software under updated regulatory frameworks. Tesla has been working to secure expanded FSD access across Europe, where regulatory standards differ significantly from those in the United States. Approval in the Netherlands would likely serve as a foundation for broader EU adoption, though additional country-level clearances may still be required.
Tesla drops latest hint that new Cybertruck trim is selling like hotcakes
Elon Musk outlines plan for first Starship tower catch attempt
