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Tesla patent outlines system to actively monitor improper seatbelt use

Credit: Teslarati via @BlakeM in San Francisco

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Seatbelts have saved countless lives since they were introduced, especially after Swedish engineer Nils Bohlin invented the now-ubiquitous three-point seatbelt in 1958. Inasmuch as seatbelts are a proven safety system, however, it is still very easy to misuse them. One such example was demonstrated by Consumer Reports recently when the magazine decided to show exactly how drivers could trick Tesla’s Autopilot driver-monitoring systems. 

In Consumer Reports‘ demonstration, the magazine’s testers tricked Tesla’s driver-monitoring system by buckling in the driver’s seatbelt without a person in the seat. After this, the magazine’s testers simply sat on top of the buckled seatbelt, effectively fooling the Model Y into thinking that its driver was wearing his seatbelt properly. Fortunately, it appears that Tesla is working on a way to prevent such tricks from happening. This was hinted at in a recently-granted patent that outlines a system that detects improper seatbelt use. 

Credit: US Patent Office

Published in 2019 and granted earlier this year, Tesla’s patent for “Improper Seatbelt Usage Detection” provides a good way for the company’s vehicles to accurately determine if its occupants are belted in properly. Tesla acknowledged the issue of drivers not wearing their seatbelts properly in the patent’s background. 

“For safety-belt systems to be effective, seatbelts must be worn as intended. However, occupants do not always wear the seatbelts as intended. For example, occupants have been observed wearing the shoulder belt portion belt behind their backs, the shoulder belt portion under their arms, or hold another occupant on their lap. Current monitoring systems cannot determine whether an occupant is properly using a seatbelt. Thus, there is a need for a system that detects improper use of seatbelt,” Tesla wrote. 

Tesla’s patent utilizes sensor modules to ensure that occupants are wearing their seatbelts correctly. These sensor modules could comprise more than one sensor, and they could be embedded within a vehicle’s seats. Some sensor modules also utilize inertial sensors or radio-frequency (RF) beacons, which would allow vehicles to determine if seatbelts are being used as designed. A controller that receives signals from the sensors and determines proper or improper seatbelt usage is also mentioned in the patent. This, as hinted at by Tesla’s illustrations in the patent, is extremely pertinent for vehicles that could operate without active human input. 

Credit: US Patent Office

In the patent’s discussion, Tesla notes that the system’s controller includes an associated memory that can store data regarding the vehicle’s use. This data includes occupant profiles, such as information on weight, height, and general posture, among others. What is rather remarkable is that Tesla’s patent is designed to detect even casual improper seatbelt use, such as when drivers place the shoulder belt under their arm, or when passengers hold a non-belted occupant on their lap. The EV maker outlined what happens in the vehicle if improper seatbelt use is determined. 

“After determining improper usage of seatbelt 306, controller 404 may issue a warning, a notification, sound an alarm, or may even not allow to operate vehicle 100 until seatbelt 306 is used properly. A warning may be a text message displayed on display system of vehicle infotainment system, or an alarm sounding on vehicle infotainment system, a text message to registered mobile number of occupant, etc. Controller 404 may perform any other type of follow up actions as well to ensure proper usage of seatbelt 306 while driving vehicle 100. The present disclosure is not limited by any such follow up actions in any manner,” Tesla wrote. 

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With such systems in place, Tesla could highlight its place as the maker of the world’s safest vehicles. Teslas are already safe to begin with, thanks to their all-electric design that gives them a low center of gravity and generous crumple zones. But with a slew of systems such as Autopilot and improper seatbelt detection systems, perhaps it would not be long before professional auto testers like Consumer Reports can no longer trick Tesla’s safety features successfully. 

Tesla’s patent for its improper seatbelt monitoring system could be accessed below. 

Tesla Improper Seatbelt Usage Detection Patent by Simon Alvarez on Scribd

Don’t hesitate to contact us for news tips. Just send a message to tips@teslarati.com to give us a heads up.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk proposes Grok 5 vs world’s best League of Legends team match

Musk’s proposal has received positive reception from professional players and Riot Games alike.

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UK Government, CC BY 2.0 , via Wikimedia Commons

Elon Musk has proposed a high-profile gaming challenge for xAI’s upcoming Grok 5. As per Musk, it would be interesting to see if the large language model could beat the world’ best human League of Legends team with specific constraints.

Musk’s proposal has received positive reception from professional players and Riot Games alike, suggesting that the exciting exhibition match might indeed happen. 

Musk outlines restrictions for Grok

In his post on X, Musk detailed constraints to keep the match competitive, including limiting Grok to human-level reaction times, human-speed clicking, and viewing the game only through a camera feed with standard 20/20 vision. The idea quickly circulated across the esports community, drawing commentary from former pros and AI researchers, as noted in a Dexerto report.

Former League pro Eugene “Pobelter” Park expressed enthusiasm, offering to help Musk’s team and noting the unique comparison to past AI-versus-human breakthroughs, such as OpenAI’s Dota 2 bots. AI researcher Oriol Vinyals, who previously reached Grandmaster rank in StarCraft, suggested testing Grok in RTS gameplay as well. 

Musk welcomed the idea, even responding positively to Vinyals’ comment that it would be nice to see Optimus operate the mouse and keyboard.

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Pros debate Grok’s chances, T1 and Riot show interest

Reactions weren’t universally optimistic. Former professional mid-laner Joedat “Voyboy” Esfahani argued that even with Grok’s rapid learning capabilities, League of Legends requires deep synergy, game-state interpretation, and team coordination that may be difficult for AI to master at top competitive levels. Yiliang “Doublelift” Peng was similarly skeptical, publicly stating he doubted Grok could beat T1, or even himself, and jokingly promised to shave his head if Grok managed to win.

T1, however, embraced the proposal, responding with a GIF of Faker and the message “We are ready,” signaling their willingness to participate. Riot Games itself also reacted, with co-founder Marc Merrill replying to Musk with “let’s discuss.” Needless to say, it appears that Riot Games in onboard with the idea.

Though no match has been confirmed, interest from players, teams, and Riot suggests the concept could materialize into a landmark AI-versus-human matchup, potentially becoming one of the most viewed League of Legends events in history. The fact that Grok 5 will be constrained to human limits would definitely add an interesting dimension to the matchup, as it could truly demonstrate how human-like the large language model could be like in real-time scenarios.

Tesla has passed a key milestone, and it was one that CEO Elon Musk initially mentioned more than nine years ago when he published Master Plan, Part Deux. 

As per Tesla China in a post on its official Weibo account, the company’s Autopilot system has accumulated over 10 billion kilometers of real-world driving experience.

Tesla China’s subtle, but huge announcement

In its Weibo post, Tesla China announced that the company’s Autopilot system has accumulated 10 billion kilometers of driving experience. “In this respect, Tesla vehicles equipped with Autopilot technology can be considered to have the world’s most experienced and seasoned driver.” 

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Tesla AI’s handle on Weibo also highlighted a key advantage of the company’s self-driving system. “It will never drive under the influence of alcohol, be distracted, or be fatigued,” the team wrote. “We believe that advancements in Autopilot technology will save more lives.”

Tesla China did not clarify exactly what it meant by “Autopilot” in its Weibo post, though the company’s intense focus on FSD over the past years suggests that the term includes miles that were driven by FSD (Beta) and Full Self-Driving (Supervised). Either way, 10 billion cumulative miles of real-world data is something that few, if any, competitors could compete with.

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Credit: Tesla China/Weibo

Elon Musk’s 10-billion-km estimate, way back in 2016

When Elon Musk published Master Plan Part Deux, he outlined his vision for the company’s autonomous driving system. At the time, Autopilot was still very new, though Musk was already envisioning how the system could get regulatory approval worldwide. He estimated that worldwide regulatory approval will probably require around 10 billion miles of real-world driving data, which was an impossible-sounding amount at the time. 

“Even once the software is highly refined and far better than the average human driver, there will still be a significant time gap, varying widely by jurisdiction, before true self-driving is approved by regulators. We expect that worldwide regulatory approval will require something on the order of 6 billion miles (10 billion km). Current fleet learning is happening at just over 3 million miles (5 million km) per day,” Musk wrote. 

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It’s quite interesting but Tesla is indeed getting regulatory approval for FSD (Supervised) at a steady pace today, at a time when 10 billion miles of data has been achieved. The system has been active in the United States and has since been rolled out to other countries such as Australia, New Zealand, China, and, more recently, South Korea. Expectations are high that Tesla could secure FSD approval in Europe sometime next year as well. 

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Elon Musk’s Boring Company reveals Prufrock TBM’s most disruptive feature

As it turns out, the tunneling startup, similar to other Elon Musk-backed ventures, is also dead serious about pursuing reusability.

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The Boring Company has quietly revealed one of its tunnel boring machines’ (TBMs) most underrated feature. As it turns out, the tunneling startup, similar to other Elon Musk-backed ventures, is also dead serious about pursuing reusability.

Prufrock 5 leaves the factory

The Boring Company is arguably the quietest venture currently backed by Elon Musk, inspiring far fewer headlines than his other, more high-profile companies such as Tesla, SpaceX, and xAI. Still, the Boring Company’s mission is ambitious, as it is a company designed to solve the problem of congestion in cities.

To accomplish this, the Boring Company would need to develop tunnel boring machines that could dig incredibly quickly. To this end, the startup has designed Prufrock, an all-electric TBM that’s designed to eventually be fast enough as an everyday garden snail. Among TBMs, such a speed would be revolutionary. 

The startup has taken a step towards this recently, when The Boring Company posted a photo of Prufrock-5 coming out of its Bastrop, Texas facility. “On a rainy day in Bastrop, Prufrock-5 has left the factory. Will begin tunneling by December 1.  Hoping for a step function increase in speed,” the Boring Company wrote.

Prufrock’s quiet disruption

Interestingly enough, the Boring Company also mentioned a key feature of its Prufrock machines that makes them significantly more sustainable and reusable than conventional TBMs. As per a user on X, standard tunnel boring machines are often left underground at the conclusion of a project because retrieving them is usually more expensive and impractical than abandoning them in the location. 

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As per the Boring Company, however, this is not the case for its Prufrock machines, as they are retrieved, upgraded, and deployed again with improvements. “All Prufrocks are reused, usually with upgrades between launches. Prufrock-1 has now dug six tunnels,” the Boring Company wrote in its reply on X.

The Boring Company’s reply is quite exciting as it suggests that the TBMs from the tunneling startup could eventually be as reusable as SpaceX’s boosters. This is on brand for an Elon Musk-backed venture, of course, though the Boring Company’s disruption is a bit more underground. 

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Tesla accused of infringing robotics patents in new lawsuit

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tesla store in New York City
Credit: Tesla

Tesla is being accused of infringing robotics patents by a company called Perrone Robotics, which is based out of Charlottesville, Virginia.

The suit was filed in Alexandria, Virginia, and accuses Tesla of knowingly infringing upon five patents related to robotics systems for self-driving vehicles.

The company said its founder, Paul Perrone, developed general-purpose robotics operating systems for individual robots and automated devices.

Perrone Robotics claims that all Tesla vehicles utilizing the company’s Autopilot suite within the last six years infringe the five patents, according to a report from Reuters.

Tesla’s new Safety Report shows Autopilot is nine times safer than humans

One patent was something the company attempted to sell to Tesla back in 2017. The five patents cover a “General Purpose Operating System for Robotics,” otherwise known as GPROS.

The GPROS suite includes extensions for autonomous vehicle controls, path planning, and sensor fusion. One key patent, U.S. 10,331,136, was explicitly offered to Tesla by Perrone back in 2017, but the company rejected it.

The suit aims to halt any further infringements and seeks unspecified damages.

This is far from the first suit Tesla has been involved in, including one from his year with Perceptive Automata LLC, which accused Tesla of infringing on AI models to interpret pedestrian/cyclist intent via cameras without licensing. Tesla appeared in court in August, but its motion to dismiss was partially denied earlier this month.

Tesla also settled a suit with Arsus LLC, which accused Autopilot’s electronic stability features of infringing on rollover prevention tech. Tesla won via an inter partes review in September.

Most of these cases involve non-practicing entities or startups asserting broad autonomous vehicle patents against Tesla’s rapid iteration.

Tesla typically counters with those inter partes reviews, claiming invalidity. Tesla has successfully defended about 70 percent of the autonomous vehicle lawsuits it has been involved in since 2020, but settlements are common to avoid discovery costs.

The case is Perrone Robotics Inc v Tesla Inc, U.S. District Court, Eastern District of Virginia, No. 25-02156. Tesla has not yet listed an attorney for the case, according to the report.

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