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Tesla safety tech takes giant step with FCC approval for wave sensor
Tesla’s request for the Federal Communications Commission (FCC) to approve a millimeter-wave sensor for child protection and anti-theft measures has been granted. Along with five other companies, Tesla received “a grant of waivers” on April 14, 2021, that would allow the installation of radar sensors in the 57-64 GHz frequency band in passenger motor vehicles. The system is now likely to contribute to the imminent release of a driver monitoring system, which would keep drivers attentive during the use of the company’s Full Self-Driving suite.
The document also granted Vayyar Imaging Ltd., Valeo North America, Infineon Technologies America Corp, IEE Sensing Inc., and Brose North America to use millimeter-wave sensors. Tesla and IEE were approved for 60-64 GHz, while the other companies can utilize 57-64 GHz.
Millimeter-Wave Sensor
In August 2020, Teslarati reported that Tesla had requested the FCC to approve a short-range motion sensor that would save kids from being left in hot cars. The sensor would also boost the company’s theft-prevention system as it would be active “approximately 6 feet” outside of the vehicle “to provide vehicle security benefits such as detecting a broken window or a vehicle intrusion.” Tesla originally filed for a request for a waiver on July 31, 2020.
After a few months of research and deliberation, the FCC is waiving requirements that would prohibit the approval of these systems. The government agency says that “We find that grant of these waivers…will bring immediate relief to the industry and the public in this area. Specifically, our action will bring forth substantial public benefits by improving vehicular safety for children and providing opportunities for additional vehicular automation and theft prevention applications without increasing the potential for harmful interference to authorized users in the band.”
The Sensor’s use for Driver Monitoring for Full Self-Driving
New FCC documents obtained by Teslarati indicate that Tesla’s device “will use 4 transmit and 3 receive antennas driven by a highly configurable radar front-end unit and in-vehicle radar modulation will consist of consecutive frames, including an acquisition sequence comprised by a repetition of frequency chirps or stepped chirps, a listening period, then a period for signal processing.” However, there may be more uses for the sensor, which aligns with the company’s current plans to monitor driver behavior and attentiveness during the use of Autopilot or Full Self-Driving.
The documents state:
“Tesla identifies some potential use cases—child detection, cabin intrusion, and exterior detection—for which sensing would occur only while the vehicle is stationary; and other use cases—occupant detection and classification—for which the device would sense both while the vehicle is stationary and while in motion; and one use case—driver’s vital signs monitoring—for which the device would sense only while the vehicle is in motion.”
The device, along with the vehicle’s interior cabin camera, will monitor facial features and vital signs to ensure that a driver is paying attention. Tesla recently revoked access to its FSD Beta program to some owners as they did not remain sufficiently attentive while utilizing the FSD Suite.
Tesla officially expands FSD Beta test field while revoking access to the irresponsible
In early April, Tesla hacker green released footage of the Driver Monitoring system, showing how the interior cabin camera would constantly look at the driver’s facial features. This would ensure that a driver using the FSD or Autopilot systems is still paying attention to the road. Because Tesla’s FSD isn’t operating with Level 5 autonomy, it still requires the driver to pay attention to the road and the vehicle’s surroundings.
By popular demand, night footage with Tesla DMS detections.
It’s not perfect but workable with street lights and whatnot (as suspected)
Full 23.5 minutes footage on youtube: https://t.co/AZSpN3ZoFi
No idea why Dark/blinded top out at 50% only.
reworked display.@rice_fry pic.twitter.com/FiF6i33XGZ— green (@greentheonly) April 8, 2021
Advocates for Highway and Auto Safety believe that the inclusion of the sensor could be highly advantageous for autonomous vehicles. “The ability of a vehicle to detect and classify all occupants will likely be critical as autonomous vehicles (AVs) are deployed onto our roads in the future… because…AVs will need to know the number of occupants and whether they are properly restrained before beginning to move,” safety advocates said.
Child Safety and Anti-Theft Devices
The device was originally going to be used to detect children left in a hot car. The system “provides depth perception and can ‘see’ through soft materials, such as a blanket covering a child in a child restraint,” according to Tesla’s original filing. The device “can differentiate between a child and an object left on the seat, reducing the likelihood of false alarms,” Tesla said. It can also detect “micromovements like breathing patterns and heart rates, neither of which can be captured by cameras or in-seat sensors alone.” Google was granted the use of a device “under the same technical parameters” by the FCC in 2018.
The device would also be able to detect intrusions of theft attempts, which could be coupled with the highly effective Tesla Sentry Mode. Sentry Mode records events that occur near the vehicle and has helped police crack several vandalism and robbery cases in the past.
The National Highway Traffic Safety Administration says that 105 kids were killed in 2018 and 2019 because of being left in a hot car. The death occurred 54% of the time because someone forgot their child was in the car. The approval of the millimeter-wave sensor could decrease that number significantly if it receives widespread approval after Tesla’s usage.
The use of the sensor is immediately effective. “Accordingly, pursuant to authority in Sections 0.31, 0.241, and 1.3 of the Commission’s rules, 47 CFR §§ 0.21, 0.241, and 1.3, and Sections 4(i), 302, 303(e), and 303(r) of the Communications Act of 1934, as amended, 47 U.S.C. §§ 154(i), 302, 303(e), and 303(r), IT IS ORDERED that the Request for Waiver filed by Tesla Inc. IS GRANTED, consistent with the terms of this Order. This action is effective upon release of this Order.”
The FCC’s grant documentation is available below.
DA-21-407A1 (1) by Joey Klender on Scribd
Elon Musk
SpaceX wants to catch Starship for launch 14, Elon Musk says
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
News
Tesla to open source Model S and Model X designs and software
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
News
Tesla flexes incredible Robotaxi metric that skeptics will hate
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.