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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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The secret behind Tesla’s Cybercab Gold goes well beyond just the color

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Tesla has spent years trying to engineer its way out of the automotive paint shop, one of the most expensive, space-consuming, and environmentally costly steps in vehicle manufacturing. With the Cybercab, Tesla confirmed on X this week that a new reaction injection molding process will embed color directly into the panel itself during production.

“Our new reaction injection molding (RIM) process shrinks Cybercab paint cycles from hours to minutes. This cuts those parts’ manufacturing and supply chain emissions by 35% and eliminating 100% of paint volatile organic compounds (VOCs) emitted in traditional paint methods.” noted Tesla.

While the RIM process isn’t necessarily new and has existed since the 1960s, what makes Tesla’s application notable is how it is being used specifically for exterior body panels that traditionally required a separate paint process after forming.

Tesla Cybercab stands to gain from new Trump autonomy rules

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Tesla’s RIM approach integrates the color directly into the panel material during the molding process itself. The pigment is part of the polymer mix injected into the mold, meaning the panel comes out of the mold already colored, with no separate paint application required. The clear coat or protective layer can be applied at the mold stage or through a much faster post-process than traditional multi-stage painting. Tesla claims this compresses what was a multi-hour paint cycle into minutes per panel.

Tesla’s obsession with killing the paint shop is one of the most consistent threads running through the company’s manufacturing philosophy going back years. As far back as 2018, Musk was trimming paint color options to simplify production, tweeting at the time: “Moving 2 of 7 Tesla colors off menu on Wednesday to simplify manufacturing.” Two years later, in a 2020 Automotive News interview, Musk laid out his broader vision, saying he believed Tesla factories could one day be 1,000 times more efficient than conventional plants, and pointing to the paint shop as one of the biggest sources of waste, cost, and complexity. The Cybertruck was the most extreme expression of that thinking. Tesla chose an unpainted stainless steel exterior partly because it would eliminate the need for a $200 million paint facility at Gigafactory Texas. The stainless approach proved harder and more expensive than anticipated, but the underlying ambition never changed. The Cybercab is what happens when that same ambition meets a manufacturing process that delivers on it.

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Tesla app update makes Robotaxi ownership make a lot more sense

Tesla’s app now shows a live indicator when your car is actively driving itself.

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A recent Tesla app update, released last week  (4.58.5), gives visibility on whether a vehicle is navigating in its semi-autonomous mode or being drive by a human driver. The updated app now displays a live “Self-Driving” indicator in bright blue text directly beneath the vehicle’s speed readout whenever Full Self-Driving is actively engaged, along with the signature glowing blue navigation path that FSD users see on the main touchscreen. It is a small visual update with meaningful implications for how Tesla owners monitor their vehicles remotely.

The feature was first spotted in the wild by X user Jordan Camina, who shared video of a Hardware 3 Model S displaying the new animation through the app while driving. That detail is significant because it confirms the update is not limited to newer HW4 vehicles. It works across hardware generations, and Tesla confirmed it will eventually support all vehicles regardless of chip platform once both the app and vehicle software are updated. The vehicle side requires software version 2026.20.6.1, which has reached nearly 40% of the fleet so far, as monitored by NotaTeslaApp.

The feature makes the most practical sense when viewed through the lens of Tesla’s expanding robotaxi operation. In a robotaxi context, the owner of a vehicle generating ride revenue has a direct financial and safety interest in knowing whether their car is operating under autonomous control at any given moment. The app’s new FSD indicator gives fleet owners exactly that visibility, the same way a logistics company monitors whether a delivery driver is following the planned route. It also carries implications for Tesla’s insurance model. Tesla’s own insurance product prices premiums in part based on FSD engagement rates, and real-time visibility into when FSD is active creates a feedback loop that could eventually tie directly into policy pricing. For individual owners who have opted their personal vehicles into the robotaxi network, the update effectively turns the Tesla app into a fleet management dashboard, one that tells you whether your car is earning money, whether it is driving itself to do it, and whether everything is operating the way it should from wherever you happen to be.

Tesla expands Robotaxi to Florida, marking its third state for autonomy

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As Teslarati has reported, Tesla launched unsupervised robotaxi rides in Miami this summer, a milestone that makes a remote FSD status indicator significantly more practical than a cosmetic feature. When a vehicle is operating as a robotaxi without a driver present, the owner or fleet operator needs a reliable way to confirm autonomy is engaged. The app now provides exactly that.

As noted by NotATeslaApp, The update also arrived alongside a hint buried in the same app version that Tesla plans to use the cabin camera to verify driver identity before FSD can be activated. Pairing identity verification with a live autonomy status indicator points toward the infrastructure Tesla is building for a fleet of driverless vehicles that owners can monitor the way you would track a package delivery.

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California snubs Tesla in its newly passed EV incentive that favors Rivian and Lucid

California passed a $135 million EV incentive that rewards Rivian and Lucid while sidelining Tesla

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tesla fremont

California just drew a line in the EV incentive sand to put Tesla on the wrong side of it. The state recently passed a $135 million program offering first-time electric vehicle buyers a direct incentive with no application required, but the rules were written in a way that leaves Tesla at a structural disadvantage compared to Rivian and Lucid.

The program caps eligible vehicles at $50,000 for new EVs and $25,000 for used ones. That pricing threshold rules out a significant portion of Tesla’s lineup, though some lower-priced Model 3 and Model Y configurations would still qualify. California-based automakers are exempt from the price cap entirely, regardless of what their vehicles cost. Rivian, headquartered in Irvine, and Lucid, based in the San Francisco Bay Area, both benefit from that exemption. Rivian’s R2 starts at roughly $45,000 but has versions above the cap. Lucid’s Air and Gravity start at $70,990 and $79,990 respectively, well above any threshold a non-California company would face.

California hits Tesla Cybercab and Robotaxi driverless cars with new law

Tesla built its reputation and a significant portion of its early market share in California, where EV adoption has consistently led the nation. The company operates its original factory in Fremont, California, and the state was home to Tesla’s headquarters for most of its existence. That changed in 2021 when Tesla moved its corporate headquarters to Austin, Texas. Since then, the relationship between the company and California Governor Gavin Newsom has been openly adversarial, with Musk and Newsom trading public criticism on multiple occasions.

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California’s EV incentive landscape has shifted repeatedly in recent years, and Tesla has previously lost eligibility for state-level programs as its vehicles exceeded income-adjusted price thresholds. The federal $7,500 EV tax credit, which Tesla models have qualified for and lost depending on policy cycles, is no longer available after it expired without renewal, making state-level programs more meaningful to buyers than they have been in years.

The practical impact for buyers is more nuanced than the headline suggests. California residents purchasing a Tesla under $50,000 for the first time can still access the incentive. But the exemption written for California-based manufacturers is a structural advantage that rewards where a company plants its headquarters flag rather than where it builds its products, and Tesla moved that flag to Texas.

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