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

Tesla

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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

Elon Musk’s Biggest Revelations on AI, Robots, and the Future of Work from the Moonshots Podcast

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Elon Musk’s appearance on the Moonshots with Peter Diamandis podcast was packed with bold predictions, candid admissions, and surprising tech insights. The nearly three-hour conversation covered everything from artificial intelligence to humanoid robots, geopolitics, and the future of work. Here are the top 10 most intriguing takeaways:

  1. Aggressive AGI Timeline Predictions

    Musk offered a detailed view on when artificial general intelligence (AGI) could emerge, suggesting it may arrive sooner than many expect,  emphasizing both transformative potential and risks.  

  2. U.S. vs. China in the AI Race

    He discussed the strategic competition between the United States and China over AI development, noting that geopolitical dynamics will shape how and who leads in the next decades.  

  3. Future of Job Markets

    Musk touched on how AI and automation could reshape employment, predicting massive boosts in productivity alongside potential disruptions in traditional work structures.  

  4. Clean Energy Transition

    A recurring theme was the role of clean energy in future economies, with Musk reiterating the importance of scaling sustainable power generation and storage.  

  5. Humanoid Robots Are Coming

    On the podcast, Musk elaborated on Tesla’s work on humanoid robots, hinting at timelines and applications that go beyond factories to general-purpose assistance.

  6. Tesla Roadster “Last Human-Driven Car”

    Outside the core discussion topics, Musk teased features of the upcoming Tesla Roadster — calling it “the best of the last of the human-driven cars” and suggesting safety won’t be its main selling point.  

  7. The Role of AI in Clean Energy and Robotics

    Linking AI to both energy optimization and robotics, Musk explained how smarter systems could accelerate decarbonization and task automation across industries.  

  8. U.S. Innovation Leadership

    Musk argued that maintaining American leadership in key tech sectors like AI, space, and robotics should be a national priority, with thoughtful policy and investment.  

  9. Job Creation vs. Job Elimination

    While acknowledging automation’s disruptive effects, he also outlined scenarios where new industries and opportunities could emerge, particularly in AI, space, and advanced manufacturing.  

  10. Long-Term Vision for Humanity

    Throughout the conversation, Musk revisited his long-term philosophical views — including a belief in humanity’s responsibility to become a multi-planetary and technologically empowered species.  

Whether you agree with Musk’s optimism or not, the podcast offers a window into the thinking of one of the most influential figures in tech today, in and why his visions continue to spark debate and inspiration.

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Elon Musk

Elon Musk just said some crazy stuff about the Tesla Roadster

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Credit: Teslarati via Riccardo Cestarelli

Elon Musk appeared on the Moonshots podcast with Peter Diamandis today to discuss AGI, U.S. vs. China, Tesla, and some other interesting topics, but there was some discussion about the upcoming unveiling of the Roadster, the company’s electric supercar that will arrive several years after it was initially slated for release.

Musk made some pretty amazing claims about the Roadster; we already know it is supposed to be lightning-fast and could even hover, if Tesla gets everything to happen the way it wants to. However, the car has some pretty crazy capabilities, some of which have not even been revealed.

On the podcast, Musk said:

“This is not a…safety is not the main goal. If you buy a Ferrari, safety is not the number one goal. I say, if safety is your number one goal, do not buy the Roadster…We’ll aspire not to kill anyone in this car. It’ll be the best of the last of the human-driven cars. The best of the last.”

Musk makes a good point: people who buy expensive sports cars with ridiculous top speeds and acceleration rates do not buy them to be safe. They hope they are safe in case of an emergency or crash, but safety is not at the forefront of their thoughts, because nobody buys a car thinking they’ll crash it.

The Roadster is truly going to push the limits and capabilities of passenger vehicles; there’s no doubt about that. Tesla plans to show off the new version car for the first time on April 1, and Musk has only hinted at what is possible with it.

Musk said back in November:

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“Whether it’s good or bad, it will be unforgettable. My friend Peter Thiel once reflected that the future was supposed to have flying cars, but we don’t have flying cars. I think if Peter wants a flying car, he should be able to buy one…I think it has a shot at being the most memorable product unveiling ever. [It will be unveiled] hopefully before the end of the year. You know, we need to make sure that it works. This is some crazy technology in this car. Let’s just put it this way: if you took all the James Bond cars and combined them, it’s crazier than that.”

Production is set to begin between 12 and 18 months after the unveiling, which would put the car out sometime in 2027. Hopefully, Tesla is able to stay on track with the scheduling of the Roadster; many people have been waiting a long time for it.

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Tesla launches hiring for Robotaxi program in its twentieth country

Overall, the hiring signals Tesla’s aggressive timeline for global dominance in autonomous mobility.

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Credit: @AdanGuajardo/X

Tesla has launched a hiring initiative for its Robotaxi program in its twentieth country, as the company posted two new jobs in Thailand this week.

Tesla is hiring in Bangkok and Kowloon for the Vehicle Operator position, which is related to data collection, and is the first in Thailand, but the twentieth country overall, as the company tries to expand into other markets.

Tesla has had active job postings for Vehicle Operator positions in the United States, India, Israel, Taiwan, Germany, the Czech Republic, Hungary, the UK, Finland, Switzerland, Sweden, the Netherlands, Austria, Spain, Norway, Italy, and Turkey in past listings.

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These postings are not all currently available, likely because the roles have been filled.

Thailand is the most recent, and broadens the company’s potential path to expanding its ride-hailing program, which is only active in the United States in Austin, Texas, and the California Bay Area, so far.

These roles typically involve data collection, which assists in improving Autopilot and Full Self-Driving operation. Tesla’s self-driving programs utilize real-world data that is accumulated and stored, observing vehicle and traffic behavior, as well as tendencies that are performed by human drivers to help increase safety and overall performance.

Overall, the hiring signals Tesla’s aggressive timeline for global dominance in autonomous mobility. Although the company has several high-profile rivals and competitors in the field, it has established itself as a main player and a leader in the development of autonomous technology, especially in the U.S., as its FSD suite is refined on almost a weekly basis.

The Full Self-Driving suite is available in seven countries and territories currently, including the U.S., Canada, China, Mexico, Puerto Rico, Australia, and New Zealand. Its biggest goal for expansion is currently the European market, where regulatory hurdles have been the main bottleneck prolonging its launch on the continent.

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Tesla has performed months of testing in various European countries, including France and Spain, and does have support in some areas from various regulatory agencies. However, the company is hoping to get through this red tape and offer its suite in Europe for the first time, hopefully this year.

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