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Tesla designs safer airbag deployment system through seat sensors in new patent
Tesla’s electric cars are among the safest on the road, so much so that the Model 3, Model S, and Model X are among the NHTSA’s top vehicles with the lowest probability of injury in the event of an accident. Thanks to Tesla’s use of ultra-high-strength steel and aluminum, as well as the vehicles’ extra large crumple zones due to their all-electric design, the company’s electric cars are capable of protecting their occupants when untoward events happen on the road.
If a recently published patent application is any indication, though, it appears that Tesla is exploring more ways to make its vehicles even safer. Tesla’s recent patent, titled “Sensors for Vehicle Occupant Classification Systems and Methods,” taps into the company’s prowess in tech by using a system that alows cars to detect and/or classify their occupants based on readings from a series of sensors in the seats. With such a system in place, safety features could activate in a way that is optimized for passengers.
- Diagrams depicting Tesla’s “Sensors for Vehicle Occupant Classification Systems and Methods” patent. (Credit: US Patent Office)
- Diagrams depicting Tesla’s “Sensors for Vehicle Occupant Classification Systems and Methods” patent. (Credit: US Patent Office)
- Diagrams depicting Tesla’s “Sensors for Vehicle Occupant Classification Systems and Methods” patent. (Credit: US Patent Office)
Diagrams depicting Tesla’s “Sensors for Vehicle Occupant Classification Systems and Methods” patent. (Credit: US Patent Office)
Tesla notes that cars on the road today are becoming safer overall, thanks to systems that monitor operations while the vehicle is in motion and features that provide coordinated alerts and assistance as needed. While such processes make vehicles safe, though, Tesla states that there is still a large area for improvement. One such area, according to the electric car maker, is in the way airbags deploy in the event of an accident.
“Difficulties remain in reliably detecting the presence of vehicle occupants and accurately classifying them as children, relatively small adults, and/or according to other classifications, and particularly in differentiating between classifications. Accurate classification can be critical when the vehicle is attempting to assist or enact safety measures to protect the occupant.
“In particular, airbag deployment can be adjusted to reduce risk of injury caused by the airbag while maintaining safety of the occupant during a collision. However, while reduced-force airbag deployment is recommended for relatively small adult females, it is not recommended for young children, even though the young children can reach heights and weights approaching those of the relatively small adult females. Thus, there is a need for an improved methodology to provide reliable and accurate vehicle occupant classification, particularly in the context of controlling an occupant restraint system that can apply force to an operator of the vehicle.”
Tesla’s patent application explores the use of sensors placed on the vehicle’s seats that enable the cars to classify their occupants. By classifying the size, weight, and body type (among others) of a passenger, the car would be able to deploy airbags in the safest way possible during an accident. Tesla describes this system as follows.
“In accordance with various embodiments of the present disclosure, occupant detection and classification may be provided by an occupant weight sensor, an occupant presence sensor, and a logic device configured to convert sensor signals provided by the occupant weight sensor and the occupant presence sensor into an estimated occupant weight and an occupant presence response, which may be used together to reliably detect and classify the occupant with increased sensitivity, accuracy, and granularity compared to conventional detection systems.
“In particular, embodiments of the present occupant classification system may be employed to detect and differentiate a child from a relatively small woman or man and disable, partially enable, or fully enable an airbag as appropriate. Such occupant classification systems may be implemented with various types of user feedback mechanisms, including reporting detections and classifications both locally and remotely, such as to a smartphone, for example, and reporting potentially unsafe conditions and/or undesired operation of the vehicle, as described herein.”
With this system in place, Tesla’s electric cars would be even safer than they already are. If any, this would widen the gap further between Tesla’s vehicles and conventional cars, many of which are bogged down in frontal collisions due to the presence of a large, heavy engine under the hood. That said, this recent patent application all but emphasizes Tesla’s proactive nature and the company’s tendency to always make efforts to improve.
This particular nature was emphasized by Elon Musk on Twitter last October, when he explained that there is “no such thing” as a “full refresh” or even a model year at Tesla. In his tweet, Musk stated that all the company’s vehicles are partially upgraded every month “as soon as a subsystem is ready for production,” thereby ensuring buyers that they are getting the best vehicles available at their time of purchase. This, coupled with Tesla’s trademark over-the-air updates — which give new features from driver assist functions such as Navigate on Autopilot, to fun, quirky things like the Romance Mode Easter Egg — truly make the company’s electric cars unique on the road.
The full text of Tesla’s recent patent application could be accessed here.
Investor's Corner
Tesla (TSLA) Q1 2025 earnings: What to expect
Tesla stock reached as high as $488.54 per share in 2024, though it is trading at around $240 per share as of writing.

Tesla (NASDAQ:TSLA) is expected to release its first quarter 2025 results after markets close today, April 22, 2025.
At 4:30 p.m. Central Time / 5:30 p.m. Eastern Time, executives such as CEO Elon Musk will also be holding a Company Update and the Q1 2025 earnings call.
Tesla Q1 Deliveries and Production
Tesla missed estimates in the first quarter, with the company delivering a total of 336,681 vehicles worldwide. A total of 362,615 vehicles were also produced during this period.
While the delivery results of Tesla’s electric vehicle business were subpar in Q1 2025, the company’s energy division exhibited strong performance during the quarter, deploying a total of 10.4 GWh worth of energy storage products.
Earnings Estimates
As noted in a Forbes report, expectations are high that Tesla will report a gain of $0.35/share on $21.85 billion in revenue. Whisper numbers, however, reportedly suggest that the electric vehicle maker will only post a gain of $0.31 per share.
Analysts polled by the FactSet, however, expect Tesla to see an EPS of $0.41 per share on revenues of $21.27 billion, as noted in an Investors’ Business Daily report.
Tesla Stock So Far
Tesla stock reached as high as $488.54 per share in 2024, though it is trading at around $240 per share as of writing. Tesla stock has been naturally volatile, however, so it is prone to notable moves depending on its Q1 earnings.
If the numbers are good, Tesla stock could easily gap up, but if they are disappointing, it would not be surprising if TSLA shares gap down.
FSD, New Vehicle Updates
Tesla is expected to launch a dedicated robotaxi service this June in Austin, Texas. The company has also been hinting at more affordable models that will be launched in the first half of 2025. Expectations are high that CEO Elon Musk will share some updates on these projects, particularly the rollout of Tesla’s FSD Unsupervised system.
News
Rivian Boosts AI Strategy with Cohere CEO’s Board Appointment

Rivian has strengthened its AI strategy by appointing Aidan Gomez, co-founder and CEO of generative AI startup Cohere, to its board. Gomez’s appointment was announced through a regulatory filing. The move underscores Rivian’s ambition to lead in automotive software and AI-driven autonomy.
Gomez is a data scientist and AI expert. He launched Cohere in 2019, focusing on AI foundation models for enterprises like Oracle and Notion. Gomez will be on Rivian’s board until 2026. His appointment expands Rivian’s board and aligns with the company’s $5.8 billion joint venture with Volkswagen Group to develop software. The venture leverages Rivian’s electrical architecture expertise, licensing intellectual property, and may sell tech to other firms in the future.
Gomez’s expertise is a strategic fit, with CEO RJ Scaringe stating the AI expert’s “thinking and expertise will support Rivian as we integrate new, cutting-edge technologies into our products, services, and manufacturing.”
Rivian’s AI efforts include an AI assistant for its EVs, which has been under development since 2023, according to the automaker’s Chief Software Officer Wassym Bensaid.
“The AI work, which is specifically on the orchestration layer or framework for an AI assistant, sits outside the joint venture with VW,” Bensaid told TechCrunch.
Morgan Stanley analyst Adam Jonas sees Rivian’s value in its AI and autonomy potential, not just its EVs. “We see scope for Rivian to play a more important role in AI-enabled autonomy with potential milestones in 1H25,” Jonas said, highlighting the upcoming period as “consequential to determining Rivian’s place in the autonomous vehicle race.”
Jonas believes Rivian stands out as a non-Tesla, U.S.-based “software-defined” company with a fully integrated, AI-driven autonomous platform fueled by advances in generative AI and large language models.
Gomez’s board role positions Rivian to capitalize on AI innovations, enhancing its software leadership and autonomous vehicle development. As the EV maker navigates its Volkswagen partnership and internal AI projects, Gomez’s expertise could drive breakthroughs, reinforcing Rivian’s dual identity as an EV manufacturer and a tech innovator in a competitive landscape.
News
Tesla Model Y gets five-year, zero-interest financing deal in China
The program was announced by the electric vehicle maker through its official Weibo account.

Tesla has launched a five-year, zero-interest financing deal for the new Model Y in China.
The program was announced by the electric vehicle maker through its official Weibo account.
Model Y Financing Program Details
The new five-year, zero-interest financing deal is available through June 30, and it applies to all Model Y variants, the rear-wheel-drive (RWD) and long-range all-wheel-drive (AWD), which start at 263,500 yuan ($36,300) and 313,500 yuan ($42,950), respectively. Buyers can qualify for the program by paying a down payment of as low as 79,900 yuan ($10,950), with monthly payments starting at 3,060 yuan ($420).
It should be noted that prior to the recently announced program, Tesla China had offered a three-year, zero-interest financing deal for the new Model Y RWD and AWD.
New Model Y Sales So Far
Tesla’s new five-year, zero-interest financing program comes amidst heightened competition in China’s electric vehicle sector. For context, the company sold 74,127 vehicles domestically in March, up 18.8% year-over-year, as noted in a CNEV Post report. From this number, the Model Y accounted for 48,189 deliveries.
During the week of April 14-20, Tesla China also saw 6,800 new vehicle registrations, suggesting that Giga Shanghai is focusing on exports this month.
Other Updates And Incentives
Tesla China also extended an 8,000-yuan insurance subsidy for the Model 3 through April 30. A five-year, zero-interest financing program was launched for the all-electric sedan as well. To qualify, buyers would have to pay a down payment of as low as 79,900 yuan ($10,950), with monthly payments starting at 2,460 yuan ($340).
A new Star Diamond Black paint option for both the Model Y and Model 3 was also announced. Delivery times remain steady as well, with the Model Y RWD seeing a 2-4 week wait time and the Model Y Long Range AWD seeing a 3-5 week wait time. The Model 3 is listed with a 1-3 week wait time for all its variants.
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