Connect with us

News

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)

Published

on

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.

Advertisement

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

Advertisement
Comments

News

Radical Tesla aero patent may make new Roadster’s ~1-sec 0-60 mph launch feasible

The patent is for a multi-mode active aero system that uses fans and deployable skirts to generate controllable downforce.

Published

on

Credit: @SmokeAwayyy/X

A radical new patent from Tesla has provided a potential hint at a technology that the electric vehicle maker can utilize to meet the new Roadster’s ambitious 0-60 mph targets. If the technology outlined in the patent does come into fruition, it could help the Roadster stay planted on the ground even as it executes extremely rapid and demanding driving maneuvers.

The Roadster’s 0-60 mph time

When the new Roadster was announced way back in late 2017, Elon Musk stated that the upcoming vehicle would have a 0-60 mph time of 1.9 seconds. This was impressive, but the new Roadster has become so late that this metric is no longer industry-leading. Even Tesla’s own Model S Plaid, a large and heavy family sedan, can now hit a 0-60 mph time in 1.99 seconds, all for a price that starts just under $100,000.

Back in February 2024, Elon Musk stated that Tesla “radically increased the design goals for the new Tesla Roadster.” He stated that there will never be another car like the Roadster, if it could even be called a car. Musk also added that Tesla is now looking to achieve a 0-60 mph time in less than one second with the new Roadster, though this would be the “least interesting part” of the vehicle.

Inasmuch as a 0-60 mph time of 1 second or less sounds insane, these figures are achieved by vehicles like top fuel dragsters, which could accelerate well under 1 second. Of course, these vehicles are specialized machines and not road legal by any means, so the Roadster would still be in a class of its own if Tesla does manage to achieve a sub-1-second 0-60 mph time.

Tesla’s new aero patent 

A new patent from Tesla has now outlined a technology that could be a perfect fit for the upcoming all-electric supercar. Tesla’s patent is for a multi-mode active aero system that uses fans and deployable skirts to generate controllable downforce. This should pave the way for optimal vehicle grip and performance across varying conditions, from the track to the drag strip.

Advertisement

Tesla describes the patent’s technology as follows: 

“The system operates by creating bounded (e.g., sealed or partially-sealed) regions beneath the vehicle through the selective deployment of skirts that interact with the ground surface. Fans positioned in airflow pathways that extend to these bounded regions generate low pressure within these areas by extracting air, creating downforce that enhances vehicle grip and stability (e.g., by creating a vacuum, or partial vacuum in the bounded regions).”

If Tesla could indeed create a fully bounded region under the new Roadster using the technology outlined in the patent, the company could all ensure that the all-electric supercar always has perfect traction when it launches. It could also help the vehicle handle better in corners, which would be useful if the Roadster were to attempt setting records in tracks such as the Nurburgring.

Check out Tesla’s patent below.

Tesla Roadster Patent by Simon Alvarez on Scribd

Advertisement
Continue Reading

Elon Musk

Tesla’s new Robotaxi geofence shape is an FU by Elon Musk to the competition

Maybe it’s all pareidolia. But maybe it’s not. After all, Tesla embraced the first geofence expansion for what it appeared to be.

Published

on

tesla austin robotaxi geofence and elon musk laugh from meme review

Tesla expanded its Robotaxi geofence in Austin once again early Sunday morning. The new shape seems to be somewhat of a proverbial, and potentially literal, middle finger to the competition.

If you thought the first expansion was a message to the competition and doubters of the company’s ride-hailing service, you probably will believe the second expansion is an even stronger gesture.

Tesla’s first expansion did not go unnoticed, as its shape was particularly recognizable. The company has always operated with a sense of humor, and it embraced what it did. Some, including me, took it as a message to competitors: We can expand in any direction, in any size, at any time. We’ll prove it.”

They picked a shape and went with it:

Tesla’s Robotaxi expansion wasn’t a joke, it was a warning to competitors

It is evident that Tesla is keeping its humor up to continue to show a few things. The first is that it really can expand in any direction it wants and that’s how it is choosing to show it.

The second, well, maybe it’s an edgier way to show doubters that it is really executing on Robotaxi:

Maybe it’s all pareidolia. But maybe it’s not. After all, Tesla embraced the first geofence expansion for what it appeared to be. This might be a similar occurrence, and it might be sending another message to the competition, critics, and doubters.

The expansion was a near-doubling of the geofence Tesla offered previously. After the initial geofence covered just about 20 square miles, Tesla was able to more than double it to 42 square miles with the first growth. This new geofence shape was just under double, and is about 80 square miles.

Tesla’s rapid expansion has impressed many, especially considering the service area has roughly doubled for the second time in well under two months. The Robotaxi service was first offered on June 22.

Continue Reading

Elon Musk

Tesla executes ‘a must’ with Musk as race to AI supremacy goes on: Wedbush

Dan Ives of Wedbush says Tesla made the right move getting Elon Musk his pay package.

Published

on

elon musk
Steve Jurvetson, CC BY 2.0 , via Wikimedia Commons

Tesla (NASDAQ: TSLA) executed what Wedbush’s Dan Ives called “a must” this morning as it finalized a new pay package for its CEO Elon Musk.

The move helped give Musk his first meaningful compensation at Tesla since 2017, when the company offered a pay package that was based on performance and proven growth. That package was approved by shareholders on two separate occasions, but was denied to Musk both times by the Delaware Chancery Court.

On Monday, Tesla announced on X that it had created a new package that would give 96 million shares of restricted stock to Musk to compensate him for the “immense value generated for Tesla and all our shareholders.”

The details of the pay package are designed to retain Musk, who has voiced some concerns about his control of Tesla, as “activist shareholders” have used lawsuits to disrupt the previously approved package.

You can read all the details of it here:

Tesla rewards CEO Elon Musk with massive, restricted stock package

Ives says Musk’s retention is ‘a must’

Ives said in a note to investors on Monday that with the raging AI talent war that Tesla made a smart move by doing what it could to retain Musk.

He wrote:

“With the AI talent war now fully underway across Big Tech, we believe this was a strategic move to keep TSLA’s top asset, Musk, would stay focused at the company with his priority being to bolster the company’s growth strategy over the coming years. With this interim award increasing Musk’s voting rights upon this grant, which Musk honed in on and mentioned was increasingly important to incentivize him to stay focused on the matters at hand, this was a strategic move by the Board to solidify Musk as CEO of Tesla over the coming years with this framework for Musk’s pay package and greater voting control removing a major overhang on the story.”

He went on to say:

“While the groundwork is now in place for the next few years, it will be critical for the Tesla Board of Directors to get this long-term compensation strategy in place prior to the company’s November 6th shareholder meeting which would address the elephant in the room and remove a significant overhang on the stock.”

Wedbush maintained its Outperform rating and its $500 price target on the stock.

Continue Reading

Trending