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Tesla's new data pipeline and deep learning patent paves way for quicker autonomous driving improvements

A Tesla Model 3 navigates around heavy traffic. (Credit: Scott Kubo/YouTube)

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Tesla’s Neural Net continues to improve and become more advanced on a daily basis, but it appears that the electric car maker is making sure that it will evolve at an even faster rate in the future. A recent patent, for example, would allow Tesla’s autonomous driving systems to work more efficiently, thanks to a new data pipeline focused on optimized image processing.

Tesla’s patent for “Data Pipeline and Deep Learning System for Autonomous Driving” was published on December 26. The idea behind the patent is to revolutionize and improve upon past deep learning systems that have been used for autonomous driving vehicles. In the past, these systems have used “captured sensor data” to retrieve information.

Tesla recognizes the need for new sensors when data becomes more complex. According to the electric car maker’s patent, there is “a need for a customized data pipeline that can maximize the signal information from the captured sensor data and provide a higher level of signal information to the deep learning network for deep learning analysis.”

(Credit: Tesla)

The system described in this patent would capture an image using any of the sensors or cameras on the vehicle. In this case, this would describe a high dynamic range camera, camera sensor, radar sensor, or ultrasonic sensor. The image would then be broken down through a “high-pass” or ‘lo-pass” filter and a series of processors would then decipher what the image means.

The flowchart below describes what the process of the vehicle learning the information would look like. “Receive Sensor Data” is the first portion of this process. Then, data will be broken down and pre-processed for the system to then begin its “Deep Learning Analysis.” The results will then be passed along to the vehicle’s Artificial Intelligence Processor to be utilized during vehicle control.

Credit: U.S. Patent Office/Tesla

In another process, the series of information that is retrieved from these images will be compared to data compiled from other Tesla users on a global scale. This will alleviate concerns that drivers may have that the system could perform the wrong process when driving autonomously. The aim of the patent is to create a safe driving experience and improve upon the already solid performance of Tesla’s autonomous driving software, and do so in a process that is more efficient than before.

By using this process, Tesla is able to maintain as much resolution as possible from the images captured by its vehicles’ cameras and sensors. This then allows the Neural Network to more efficiently learn from the data packets that it is receiving. This allows the Neural Network to work with better images in a more efficient manner as well, which opens the doors to faster autonomous driving improvements. These efficiencies would work very well with the additional horsepower offered by Tesla’s Hardware 3 computer, which is specifically designed for full self-driving with built-in redundancies.

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Building upon the foundation that Tesla has already laid down in terms of its Full Self Driving suite, the recent patent suggests that the company is now attempting to narrow down on the finer points of its software’s performance. The addition of this patent will not only create a safer driving experience for owners of Tesla vehicles but will bring the quickly approaching future of fully-autonomous vehicles even closer to completion.

The full text of Tesla’s new data pipeline and deep learning patent could be viewed here.

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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Tesla scores major court win as judge rejects race bias class action

The ruling means the 2017 lawsuit cannot proceed as a class action because plaintiff attorneys were unable to secure testimony commitments from at least 200 workers.

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Credit: Tesla

Tesla scored a significant legal victory in California after a state judge reversed a class certification in a high-profile race harassment case involving 6,000 Black workers at its Fremont plant. The ruling means the 2017 lawsuit cannot proceed as a class action because plaintiff attorneys were unable to secure testimony commitments from at least 200 workers ahead of a 2026 trial, a threshold the judge viewed as necessary to reliably represent the full group.

No class action

In a late-Friday order, California Superior Court Judge Peter Borkon concluded that the suit could not remain a class action, stating he could not confidently apply the experiences of a much smaller group of testifying workers to thousands of potential class members. His ruling reverses a 2024 decision by a different judge who had certified the case under the belief that a trial of that size would be manageable, as noted in a Reuters report.

The lawsuit was originally filed by former assembly-line worker Marcus Vaughn, who alleged that Black employees at Tesla’s Fremont factory were exposed to various forms of racially hostile conduct, including slurs, graffiti, and instances of disturbing objects appearing in work areas. Tesla has previously said it does not tolerate harassment and has removed employees found responsible for misconduct. Neither Tesla nor the plaintiffs’ legal team immediately commented on the latest ruling.

Tesla’s legal challenges

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While the decertification narrows the scope of this particular case, Tesla still faces additional litigation over similar allegations. A separate trial involving related claims brought by a California state civil rights agency is scheduled just two months after the now-vacated class trial date. The company is also contending with federal race discrimination claims filed by the U.S. Equal Employment Opportunity Commission, alongside several individual lawsuits it has already resolved.

For now, the reversal removes the large-scale exposure Tesla would have faced in a unified class trial, shifting the dispute back to individual claims rather than a single mass action. The case is Vaughn v. Tesla, filed in Alameda County Superior Court.

@teslarati With a pedestrian in the crosswalk, Tesla Full Self-Driving shows off its courtesy. Human drivers? Not so much. #tesla #teslafsd #fullselfdriving ♬ AMERICAN HEART – Maxwell Luke
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Tesla Holiday Update is incoming, and the wishlist is Merry and Bright

There are a handful of big wishes, and we’ve seen a lot of different requests out there based on what owners are saying on social media. Nevertheless, what Tesla should bring and what Tesla will bring are two different things.

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Tesla’s Holiday Update is going to be on its way soon, and although we have no idea what the company is planning to implement into vehicles with the 2025 iteration.

However, the wishlist is extensive, and owners are hoping to get a vast array of new features, both useful and artificial. That’s the fun thing about owning a Tesla — not everything is necessary, and it’s okay for your car to be fun.

There are a handful of big wishes, and we’ve seen a lot of different requests out there based on what owners are saying on social media. Nevertheless, what Tesla should bring and what Tesla will bring are two different things.

In past years, Tesla has brought both useful things and fun things with the Holiday Update. The Custom Lock Sound, new Light Shows, and even High Fidelity Park Assist have all come in past updates, among many other things. But for 2025, people want even more, and here’s what we have seen most frequently thus far:

More Streaming Platforms

This is a personal request of ours, and it’s something that we feel is long overdue.

Sure, Netflix, Disney+, and Hulu are all great — but there’s a lot of meat left on that bone. HBOMax, Paramount+, and even YouTube TV would be a great option for those of us who have subscriptions and want to watch Live Events while Supercharging or eating in our cars.

The fact that Tesla has not added more platforms to its in-car Theater in a few years has been, dare I say, disappointing?

Full Self-Driving for Europe

This is something not even Santa can help with. Although his Elves are known for their high productivity, we’re not even sure they could convince European regulators to open the door for FSD’s entrance into the market.

Tesla deploys Unsupervised FSD in Europe for the first time—with a twist

FSD is definitely capable of handling European driving conditions, but regulators are truly dragging their feet through the mud with the approval process. Tesla has tested FSD in several countries in Europe, but nothing has been set in stone yet.

Deeper Grok Integration

Many owners have said something about how Grok is truly not super in-tune with the vehicles. This is something any owner will experience.

It seems Grok should be capable of handling all in-car requests; everything from changing the A/C to a specific temperature to adding a stop within the Navigation should be handled by Grok.

Instead, Grok cannot handle those things currently. You have to speak to the car itself using the microphone button on the steering wheel.

Interestingly, some vehicles already have the Grok logo replacing the microphone. It is likely the most realistic request of all.

‘Learn’ Mode for Full Self-Driving Arrival Options

Although it is great for public destinations, FSD still does not allow you to choose a set parking spot at your residence. It also does not allow you to choose preferences for parking in large parking lots.

Renters, and even those who live in purchased townhomes, often have assigned parking spots. Full Self-Driving v14 has done a great job of doing half the work, but there have been too many times when I’ve arrived home, the car pulls me into a spot, and I’m forced to manually back out and park in my assigned space.

Many people also do not like to park toward the entrance of a store, me included. Parking away from the front of a store eliminates parking congestion and usually is a safer bet for your vehicle to keep from being dinged by careless drivers who swing their doors open.

Navigation Adjustments

Sometimes you don’t want to turn left on the street the navigation chooses. Maybe you want to go a block down and check out that new Portuguese restaurant that just opened on the way to your next destination.

This is only possible currently by inputting a waypoint that would take you that way. Instead, the center screen could be opened, and the driver should be able to select an alternative route by simply touching a street they’d rather travel on.

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Investor's Corner

Tesla wins $508 price target from Stifel as Robotaxi rollout gains speed

The firm cited meaningful progress in Tesla’s robotaxi roadmap, ongoing Full Self-Driving enhancements, and the company’s long-term growth initiatives.

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Credit: Joe Tegtmeyer/X

Tesla received another round of bullish analyst updates this week, led by Stifel, raising its price target to $508 from $483 while reaffirming a “Buy” rating. The firm cited meaningful progress in Tesla’s robotaxi roadmap, ongoing Full Self-Driving enhancements, and the company’s long-term growth initiatives. 

Robotaxi rollout, FSD updates, and new affordable cars

Stifel expects Tesla’s robotaxi fleet to expand into 8–10 major metropolitan areas by the end of 2025, including Austin, where early deployments without safety drivers are targeted before year-end. Additional markets under evaluation include Nevada, Florida, and Arizona, as noted in an Investing.com report. The firm also highlighted strong early performance for FSD Version 14, with upcoming releases adding new “reasoning capabilities” designed to improve complex decision-making using full 360-degree vision.

Tesla has also taken steps to offset the loss of U.S. EV tax credits by launching the Model Y Standard and Model 3 Standard at $39,990 and $36,990, Stifel noted. Both vehicles deliver more than 300 miles of range and are positioned to sustain demand despite shifting incentives. Stifel raised its EBITDA forecasts to $14.9 billion for 2025 and $19.5 billion for 2026, assigning partial valuation weightings to Tesla’s FSD, robotaxi, and Optimus initiatives.

TD Cowen also places an optimistic price target

TD Cowen reiterated its Buy rating with a $509 price target after a research tour of Giga Texas, citing production scale and operational execution as key strengths. The firm posted its optimistic price target following a recent Mobility Bus tour in Austin. The tour included a visit to Giga Texas, which offered fresh insights into the company’s operations and prospects. 

Additional analyst movements include Truist Securities maintaining its Hold rating following shareholder approval of Elon Musk’s compensation plan, viewing the vote as reducing leadership uncertainty.

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@teslarati Tesla Full Self-Driving yields for pedestrians while human drivers do not…the future is here! #tesla #teslafsd #fullselfdriving ♬ 2 Little 2 Late – Levi & Mario
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