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Tesla patent outlines system to actively monitor improper seatbelt use
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.
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.
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.
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
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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
