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Tesla dials in on FSD improvements with ‘millimeter-wave radar sensor’ filing

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Tesla’s Full Self-Driving (FSD) suite is among the most complex and accurate systems on the road, but the company has always focused on constant improvement. Tesla has now filed an application with the Federal Communications Commission (FCC) for a “millimeter-wave radar sensor” for its vehicles.

Tesla’s focus on cameras and sensors has been evident since the beginning of its self-driving journey. With the company having several options to utilize in its quest for autonomy, Elon Musk has always maintained that Tesla would utilize cameras and radar, not LiDAR, for its self-driving projects. Musk once called LiDAR “a fool’s errand” and refused ever to consider the system for Tesla.

Instead, Tesla has used eight external body cameras, twelve ultrasonic sensors, and a front-facing radar to improve the accuracy of its self-driving cars. To make the cars even more predictable and safe, Tesla also uses a Neural Network to gather data and information that learns other drivers’ behavior. The 20 billion miles of real-world data Tesla has gathered over the years contributes to the Neural Net’s development and makes the entire Autopilot and FSD system more accurate as more miles are driven.

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

With all of these sensors, cameras, and radars, most would think that Tesla’s FSD suite, which is already showing vast improvements since the FSD Beta rollout in late 2020, just needs more miles and time to improve. But this isn’t the case, because Tesla wants to install a more refined radar sensor in its cars to improve accuracy even further.

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Originally obtained and reported by Electrek, the FCC document doesn’t reveal full details on the device because of a confidentiality agreement. This will keep the finer points of the system until July 2021.

The document says that the new radar will operate in a 60 GHz band.

“The equipment under test (EUT) was a Vehicle Millimeter-wave Radar Sensor operating in 60 GHz band (60-64 GHz).”

Ultimately, using a new, more refined, and more accurate sensor will help Tesla develop its self-driving suite even further. Last year, Musk revealed during the Q3 2020 Earnings Call that the company planned to move to a 4-dimensional training program, moving away from its “~2.5D” system that it currently uses. 4D is “essentially video” and would help improve the system’s accuracy.

Musk explains:

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“So what we’ve been doing, thus far, has really just been like 2D — mostly 2D, and like I said, well correlated in time. So just hard to convey just how much better a fully 4D system would work — does work. It’s capable of things that if you just look — looking at things as individual pictures as opposed to video — basically, like you could go from like individual pictures to surround video, so it’s fundamental. So the car will seem to have just like a giant improvement.”

The 4D system would be capable of handling different traffic scenarios in a more sophisticated and accurate fashion because video is easier to gain information from than pictures. It will likely work in combination with Tesla’s Dojo supercomputer, which is set to be released late this year.

What do you think? Leave a comment down below. Got a tip? Email us at tips@teslarati.com or reach out to me at joey@teslarati.com

Tesla Millimeter Sensor Wave Radar by Joey Klender on Scribd

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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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Elon Musk explains why Tesla stepped back from Project Dojo

The update was initially reported by Bloomberg News, which cited people reportedly familiar with the matter.

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(Credit: Tesla)

Elon Musk has confirmed that Tesla is stepping back from its Dojo supercomputer initiative and focusing instead on the company’s in-house AI5 and AI6 chips. 

The update was initially reported by Bloomberg News, which cited people reportedly familiar with the matter.

Project Dojo Ends

As per Bloomberg, Peter Bannon, who led Project Dojo, will be departing Tesla following Elon Musk’s decision to shut down the initiative. The publication claimed that Tesla’s Project Dojo team has lost about 20 members recently, and the remaining members of the initiative would be reassigned to other data center and compute projects within Tesla. 

Dojo was expected to help Tesla train its Autopilot and Full Self-Driving systems. With this change, Tesla will reportedly be increasing its reliance on external partners for its training hardware. These partners reportedly include Nvidia, AMD, and Samsung, among other companies.

Credit: Elon Musk/X

Musk Explains Dojo Shutdown

In a series of posts on X, Elon Musk explained that it doesn’t make much sense for Tesla to divide its resources to scale two different chip designs. And since the company is putting in a lot of effort in its AI5 and AI6 chips–which would be used not for training but in actual products like Optimus and the Cybercab–it was time for Project Dojo to take a bow.

“It doesn’t make sense for Tesla to divide its resources and scale two quite different AI chip designs. The Tesla AI5, AI6 and subsequent chips will be excellent for inference and at least pretty good for training. All effort is focused on that.

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“In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude. One could call that Dojo 3, I suppose. The difference in real-world performance between AI4 and AI5 is far more than any chip version I’ve ever heard of by a lot. It’s real good,” Musk wrote in his post.

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Tesla creates clever solution to simplify and improve its Service

Raj Jegannathan, a Vice President of IT/AI-Infra, Apps, Infosec, and Vehicle Service Operations, revealed that Tesla has started a small pilot program at a few service locations to combat this issue.

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Credit: Tesla

Tesla has created a clever solution to simplify and improve its Service. Tesla performs most of the services that are needed on its vehicles at its company-owned Service Centers.

However, service has been a weak point of the company, as some regions have fewer Service Centers than others. This can cause long wait times for Tesla owners in some parts of the country.

There are also instances where customers do not agree with what Tesla is saying about their vehicle. In fact, one instance that revealed this new change Tesla is making to its Service was precisely that.

One owner posted on X that his vehicle’s battery seal had failed after a recall was issued. Tesla insurance and Tesla Service both did not assist, and it took CEO Elon Musk stepping in to get the issue resolved:

Another owner suggested there should be a more streamlined communications process between the customer and the Service Center, a solution that has been missing.

Raj Jegannathan, a Vice President of IT/AI-Infra, Apps, Infosec, and Vehicle Service Operations, revealed that Tesla has started a small pilot program at a few service locations to combat this issue.

Elon Musk wants Tesla Service to fix two-thirds of cars in the same day

Jegannathan said that Tesla has started to share local and regional leader contact information so customers have the ability to reach out when they have complaints or disagree with warranty claims, changes in estimates, or initial diagnostics.

It is available in a handful of locations already, and Jegannathan said that once abuse guardrails are built, this will expand to all locations:

This would be a major improvement in the Service portion of Tesla’s business. There are common disagreements between Service and customers, specifically when Service’s suggestions don’t align with the customer’s beliefs.

When it comes to things like a warranty claim, these issues are not really up for interpretation. Instead, the repairs should be made. If there is a misunderstanding on Service’s side, a simple message from the customer could have resolved the issue. That’s basically what happened here.

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Investor's Corner

Tesla gets its best analysis from Morgan Stanley as ‘it’s all about to change’

He maintained its ‘Overweight’ rating and the $410 price target Morgan Stanley had on the stock.

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(Credit: Tesla)

Tesla has gotten perhaps its best analysis from Morgan Stanley in quite some time, as the Wall Street firm claims that “it’s all about to change.”

That phrase could be used for both the company’s status and the world in general.

Analyst Adam Jonas said in a new note on Thursday to investors that Tesla could be one of the major winners in terms of the global transition from what it is now to what it will be.

He describes the global shift that will occur over the next few years:

“Have you interacted with a robot today? Have you even seen a robot today? No? Well, take a mental picture because it’s all about to change. When we meet someone who has never been in a Waymo or a Tesla Cybercab (which is most people), we frequently see a wince and a response such as ‘I’m not sure I’d feel comfortable getting in a car without a driver.’ We imagine going back in time to 1903 and asking people if they’d feel comfortable in an airplane.'”

The same technological revolutions that have occurred over the past 150 years will continue to occur again and again. We are on the verge of another, Jonas believes, as companies like Tesla are working on artificial intelligence tech, which includes changing the way we look at things like transportation and labor.

Jonas includes an interesting tidbit in his note about how humanoid robots could change wages, and how it could work into the advantage of Tesla, especially as it is developing its own Optimus robot:

“We estimate 1 humanoid robot at $5/hour can do the work of 2 humans at $25/hour, generating an NPV of approximately $200k/humanoid. 1 robot shaped car can potentially drive down cost/mile of a ride share vehicle to <$0.20 mile (1/10th human-driven ride-share).”

Jonas sees Tesla as a key player in how AI will impact things like manufacturing and various automotive industries, and he believes there is long-term potential for AI, robomobility, and even autonomous eVTOL platforms.

Tesla stock: Morgan Stanley says eVTOL is calling Elon Musk for new chapter

He maintained its ‘Overweight’ rating and the $410 price target Morgan Stanley had on the stock.

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