News
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
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
