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Tesla Autopilot’s 4D upgrade could lead to more FSD features

Tesla Autopilot (Source: Elon Musk | Twitter)

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Tesla CEO Elon Musk stated that the company’s Autopilot systems are being upgraded to 4D, which will improve the performance and capabilities of the semi-autonomous driving function. Currently, Autopilot is operating with “~2.5D,” Musk said.

The developments came from a question that was asked by a Twitter follower of Musk’s who has issues using Tesla’s Summon feature on his driveway. Summon allows owners to retrieve their vehicles by using their Smartphones. By holding the “COME TO ME” button within the Tesla app, the car will use GPS vectoring to travel to the location of the phone.

Summon is a part of Tesla’s Full Self-Driving suite. But, the rework of Autopilot’s dimensional upgrade is apart of something much bigger. Perhaps it deals with a complete rewrite of Autopilot that will extend the company’s FSD features.

However, the owner stated that the grade of his driveway is slightly steeper than 10%, which inhibits the vehicle from traveling up roads that have inclines. The steepness of the slope, along with normal transitions from a street to a driveway, can present issues for Tesla’s Autopilot. This could be due to the lack of information that Tesla’s Neural Network has for navigating these environments.

With that being said, Tesla is developing a 4-dimensional system for Autopilot. The development of new elements for Autopilot to comprehend the surroundings and road environment of the vehicle could lead to more drastic improvements and an increasingly accurate comprehension of the roads a vehicle travels on.

Tesla’s currently Autopilot suite uses ~2.5D, Musk said. Now, it uses two-dimensional images along with labels, which could account for the around 2.5 dimensions that Musk spoke of in the tweet.

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Tesla Autopilot (Source: Elon Musk | Twitter)

Adding dimensions to the Autopilot system will simply increase the accuracy of how the car reacts in certain situations. Currently, Tesla uses images from Autopilot cameras that are labeled with information. Tesla could use 3-dimensional stereoscopic scenes that are reconstructed from video, along with timestamps to improve accuracy.

A few members of the Tesla community put their two cents in on what the 4-dimensional Autopilot system could entail.

Reddit user u/__TSLA__ stated that curating a massive series of traffic scenarios and objects that a car might encounter during a drive could improve the accuracy of Autopilot and Tesla’s self-driving capabilities.

However, another Reddit user, u/Semmel_Baecker, said that 4D could mean that the Autopilot cameras could build a real-time 3D environment and then predict the movements of labeled objects in 4D based on past behaviors of other vehicles. This strategy would effectively use the Neural Network to learn the reactions of other drivers or objects.

Tesla continues to develop Autopilot behaviors to eventually release a “feature complete” Full Self-Driving suite in the future. The electric automaker continues to release patents that aim to build a more accurate Autopilot system that will accelerate the company’s journey toward Level 5 Autonomy, which Musk says is coming soon.

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Most recently, Tesla submitted a patent titled, “Enhanced Object Detection for Autonomous Vehicles Based on Field View,” that would crop important objects in images and increase the resolution of those images. If pedestrians, vehicles, or other objects are available in an image, they would be available at an increased resolution to improve the accuracy of Autopilot.

Tesla’s exact plans for an Autopilot upgrade to 4-dimensional imagery is unknown. The increased accuracy is necessary for the company’s cars to drive in any environment. Tesla will soon release FSD’s “Driving on City Streets” function, which will complete the suite.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Cybertruck

Tesla Cybertruck gets long-awaited safety feature

Tesla has announced the rollout of its innovative anti-dooring protection feature to the Cybertruck via the 2026.8 software update.

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Credit: Tesla Asia | X

Tesla is rolling out a new and long-awaited feature to the Cybertruck all-electric pickup, and it is a safety addition geared toward pedestrian and cyclist safety, as well as accidents with other vehicles.

Tesla has announced the rollout of its innovative anti-dooring protection feature to the Cybertruck via the 2026.8 software update.

This safety enhancement uses the vehicle’s existing cameras to detect approaching cyclists, pedestrians, or vehicles in the blind spot while parked. Upon attempting to open a door, if a hazard is detected, the system activates: the blind spot indicator light flashes, an audible chime sounds, and the door will not open on the initial button press.

Drivers must wait briefly and press the button again to override, providing crucial seconds to avoid an accident.

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The feature, also known as Blind Spot Warning While Parked, comes standard on every new Model 3 and Model Y, and is now extending to the Cybertruck. Leveraging Tesla’s vision-based system without requiring new hardware, it represents a cost-effective software solution that builds on community suggestions dating back to 2018.

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This technology addresses the persistent danger of “dooring,” where a driver opens a car door into the path of a passing cyclist or pedestrian.

Tesla implemented this little-known feature to make its cars even safer

Dooring incidents are alarmingly common in urban environments.

According to Chicago data, in 2011 alone, there were 344 reported dooring crashes, accounting for approximately 20 percent of all bicycle crashes in the city, nearly one incident per day.

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While numbers have fluctuated (dropping to 11 percent in 2014 before rising again), dooring consistently represents 10-20 percent of bike-related crashes in major cities.

A national analysis of emergency department data estimates over 17,000 dooring-related injuries treated in the U.S. over a decade, with many involving fractures, contusions, and head trauma, particularly affecting upper extremities.

By automatically intervening, Tesla’s system not only protects vulnerable road users but also safeguards its owners from potential liability and enhances overall road safety.

As cities promote cycling for sustainable transport, features like this demonstrate how advanced driver assistance and camera systems can evolve beyond highway driving to everyday urban scenarios.

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Enthusiastic responses on social media highlight appreciation for the proactive safety measure, with some calling for broader rollout to older models where hardware permits. Tesla continues to push the boundaries of vehicle safety through over-the-air updates, making its fleet smarter and safer over time.

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Elon Musk

Tesla Roadster is ‘sorcery and magic’ and might be worth the wait, Uber founder says

Perhaps the wait will be worth it, especially according to Uber founder Travis Kalanick, who recently teased the Roadster’s potential capabilities based on what he has heard from internal Tesla sources.

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tesla roadster
Credit: Praveen Joseph/Twitter

Tesla is planning to unveil the Roadster in late April after years of waiting. But the wait might be worth it, according to Travis Kalanick, the founder of Uber, who recently shed some light on his expectations for the all-electric supercar.

We all know the Roadster is supposed to have some serious capability. CEO Elon Musk has said on numerous occasions that the Roadster will be unlike anything else ever produced. It might go from 0-60 MPH in about a second, it might hover, it might have SpaceX cold gas thrusters.

However, the constant delays in the Roadster program and its unveiling event continue to send Tesla fans into confusion because they’re just not sure when, or if, they’ll ever see the finished product.

Perhaps the wait will be worth it, especially according to Uber founder Travis Kalanick, who recently teased the Roadster’s potential capabilities based on what he has heard from internal Tesla sources.

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Kalanick said on X:

Musk has said this vehicle is not going to be geared for safety, and that, “If safety is your number one goal, do not buy the Roadster.”

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There has been so much hype regarding the Roadster that it is hard to believe the company could not come through on some kind of crazy features for the vehicle.

Elon Musk just dropped a huge detail on the Tesla Roadster

However, the latest delay that Tesla put on the unveiling event is definitely eye-opening, especially considering it is the latest in a series of pushbacks the company has put on the vehicle for the past several years.

Tesla has made several jumps in the Roadster project over the past few months, as it has ramped up hiring for the vehicle and also applied for a patent for a new seat design.

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The car has been a back-burner project for Tesla, as it has been focusing primarily on autonomy and the rollout of Robotaxi and Cybercab. Additionally, its other vehicle projects, like the Model 3 and Model Y refreshes, took precedence.

Tesla still plans to unveil the Roadster next month, so we can hope the company can stick to this timeframe.

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Cybertruck

Elon Musk clarifies viral Tesla Cybertruck accident with driver logs

Musk has come out to say that the driver logs have already shown that the driver “disengaged Autopilot four seconds before crashing,” in a post on X.

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Credit: Fox Business | Hilliard Law Firm

Tesla CEO Elon Musk has clarified some details regarding the viral Tesla Cybertruck accident with company driver logs, which show various metrics at the time of an incident.

The logs have been used in the past to pull responsibility off of Tesla when the automaker’s Full Self-Driving (Supervised) or Autopilot platforms are blamed for a collision or accident. It appears this will be no different.

On Tuesday, a video of a Cybertruck crashing into an overpass barrier in August 2025 was shared by Fox Business in a story that reported a woman was suing the automaker for $1 million in a liability and negligence case.

In the suit, Justine Saint Amour said that, “Something terrifying happened, without warning, the vehicle attempted to drive straight off an overpass.” Her attorney, Bob Hilliard, said Amour “tried to take control, but crashed into the barrier and was seriously injured (mostly her shoulder, neck, and back).”

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The Tesla Model Y is leading China’s electric SUV segment by a wide margin

Tesla vehicle crashes are widely popular to report by mainstream media outlets because of the sensationalism of the event. Oftentimes, these outlets will include Tesla in the headline, especially because it will pique the interest of the masses, as most who read the story are waiting to see the claim that Autopilot or Full Self-Driving was the culprit of the accident.

However, Tesla has access to the logs of every vehicle in its fleet, which will show the various metrics, like whether either FSD or Autopilot was active, if the accelerator was pressed, the speed, and other important factors.

Musk has come out to say that the driver logs have already shown that the driver “disengaged Autopilot four seconds before crashing,” in a post on X.

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If the logs do show this, which Tesla will likely have to prove in court, the real question would be why did the Amour disengage the suite?

Tesla’s Full Self-Driving suite is still not fully autonomous, meaning the driver cannot pull attention away from the road and must be ready to take over the vehicle at all times.

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It will be interesting to see how this particular case pans out, especially considering the clip that was released by the law firm starts at about four seconds before the collision. Tesla logs have dispelled media reports in the past that have accused the company’s suite of being responsible for an accident, so there will be some major attention on what is proven in this particular case.

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