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Tesla safety tech takes giant step with FCC approval for wave sensor

Tesla Model Y interior (Photo: Teslarati)

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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.”

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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.

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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.

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.

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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.”

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The FCC’s grant documentation is available below.

DA-21-407A1 (1) 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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What is Digital Optimus? The new Tesla and xAI project explained

At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.

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Credit: Grok

Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.

This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.

Tesla announces massive investment into xAI

At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.

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Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.

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xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.

When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.

Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI

The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.

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Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.

Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.

It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.

Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.

By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.

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As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.

In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.

It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.

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Tesla adds awesome new driving feature to Model Y

Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.

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Credit: Tesla

Tesla is adding an awesome new driving feature to Model Y vehicles, effective on Juniper-updated models considered model year 2026 or newer.

Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.

Tesla writes in the release notes for the feature:

“Your Tesla now provides a smoother feel as you come to a complete stop during routine braking.”

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Interestingly, we’re not too sure what catalyzed Tesla to try to improve braking smoothness, because it hasn’t seemed overly abrupt or rough from my perspective. Although the brake pedal in my Model Y is rarely used due to Regenerative Braking, it seems Tesla wanted to try to make the ride comfort even smoother for owners.

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There is always room for improvement, though, and it seems that there is a way to make braking smoother for passengers while the vehicle is coming to a stop.

This is far from the first time Tesla has attempted to improve its ride comfort through Over-the-Air updates, as it has rolled out updates to improve regenerative braking performance, handling while using Full Self-Driving, improvements to Steer-by-Wire to Cybertruck, and even recent releases that have combatted Active Road Noise.

Tesla set to activate long-awaited Cybertruck feature

Tesla holds a unique ability to change the functionality of its vehicles through software updates, which have come in handy for many things, including remedying certain recalls and shipping new features to the Full Self-Driving suite.

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Tesla seems to have the most seamless OTA processes, as many automakers have the ability to ship improvements through a simple software update.

We’re really excited to test the update, so when we get an opportunity to try out Comfort Braking when it makes it to our Model Y.

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Tesla finally brings a Robotaxi update that Android users will love

The breakdown of the software version shows that Tesla is actively developing an Android-compatible version of the Robotaxi app, and the company is developing Live Activities for Android.

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Credit: Grok

Tesla is finally bringing an update of its Robotaxi platform that Android users will love — mostly because it seems like they will finally be able to use the ride-hailing platform that the company has had active since last June.

Based on a decompile of software version 26.2.0 of the Robotaxi app, Tesla looks to be ready to roll out access to Android users.

According to the breakdown, performed by Tesla App Updates, the company is preparing to roll out an Android version of the app as it is developing several features for that operating system.

The breakdown of the software version shows that Tesla is actively developing an Android-compatible version of the Robotaxi app, and the company is developing Live Activities for Android:

“Strings like notification_channel_robotaxid_trip_name and android_native_alicorn_eta_text show exactly how Tesla plans to replicate the iOS Live Activities experience. Instead of standard push alerts, Android users are getting a persistent, dynamically updating notification channel.”

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This is a big step forward for several reasons. From a face-value perspective, Tesla is finally ready to offer Robotaxi to Android users.

The company has routinely prioritized Apple releases because there is a higher concentration of iPhone users in its ownership base. Additionally, the development process for Apple is simply less laborious.

Tesla is working to increase Android capabilities in its vehicles

Secondly, the Robotaxi rollout has been a typical example of “slowly then all at once.”

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Tesla initially released Robotaxi access to a handful of media members and influencers. Eventually, it was expanded to more users, so that anyone using an iOS device could download the app and hail a semi-autonomous ride in Austin or the Bay Area.

Opening up the user base to Android users may show that Tesla is preparing to allow even more users to utilize its Robotaxi platform, and although it seems to be a few months away from only offering fully autonomous rides to anyone with app access, the expansion of the user base to an entirely different user base definitely seems like its a step in the right direction.

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