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Rivian’s self-driving patent application hints at driver monitoring functionality

Image: Rivian

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Rivian’s Associate Director of Self-Driving, Oliver Jeromin, discussed a driver monitoring system that’s part of the company’s full self-driving suite in a recent interview. Thanks to a recently published patent application by the all-electric carmaker, more details about how such a system would work are now available.

The patent application, titled “Occupant Awareness Monitoring for Autonomous Vehicles,” was published on July 25, 2019, under serial number US 2019/0225228. It describes a multi-part system wherein driver activity is interpreted through synced wireless devices either on a smartphone or directly with the vehicle itself. If a driver’s awareness is needed and determined not to be available, the vehicle will take remedial action to ensure a high level of safety.

The five levels of vehicle autonomy defined by the Society for Automotive Engineers (SAE) (and adopted by the U.S. National Highway Traffic Safety Administration) range from level 0 with no automation to level 5 with full automation. Levels 3-5 specifically require that their human driver (or passenger if Level 5) be ready to retake control of the vehicle or respond in some way under specific circumstances. That said, Rivian’s invention described in this application seeks to detect whether the necessary level of readiness is present in the driver.

“The present inventors have recognized the technological problem of a potential need for human intervention in connection with the operation of autonomous automotive vehicles featuring autonomy levels 3, 4, or 5, and have observed a need for a technological solution to monitor the awareness of vehicle occupants,” the application states in the background portion of the description.

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The monitoring process is described to work as follows:

  1. Connect, by vehicle, to wireless device of vehicle occupant.
  2. Receive, by vehicle, signal from wireless device indicative of activity of the vehicle occupant and processing the signal to determine level of awareness of vehicle occupant.
  3. Determine whether level of awareness of vehicle occupant satisfies a threshold.
  4. Generate, by vehicle, alert based upon whether level of awareness of vehicle occupant satisfies threshold.

To accomplish these steps, Rivian proposes in the application to pair electronic devices that can track and provide driver data to the automated driving program, e.g., general smartphones or tablets, finesses trackers, and electronically connected medical devices. If a driver is watching a movie or has vital signs indicating sleep (breathing rate, pulse, etc.), the vehicle would know the driver is not ready to resume control if needed and respond appropriately.

Also described in the patent application are enforcement ideas such as a series of touch screen prompts requiring a response, and in the event of no response, the vehicle would pull over and stop. If an emergency situation were detected via the connected medical devices, the car would pull over and call 911. Along with a fitness tracker, other medical devices suggested for use in the application are glucose monitors, blood oxygen monitors, and breathalyzers.

Driver attentiveness while using self-driving features is already a problem under Level 2 programs where warning prompts are fairly strict about keeping eyes on the road. Tesla, for instance, regularly reminds its customers that Autopilot isn’t a full self-driving system yet and needs complete driver attention. However, as headlines and Tesla crash investigations have indicated, the warning isn’t always heeded.

Rivian’s driver monitoring system certainly sounds like a good step towards increasing safety measures as the carmaker continues to develop its product lines. The proposed syncing of medical devices might run into some resistance on privacy grounds, but the overall payoff that a safe self-driving experience will provide may find cause for compromise. Overall, it’s clear Rivian has safety as a priority as it prepares to enter the automotive arena with the R1T pickup truck and R1S SUV later next year.

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Tesla flexes how it will help the blind with Cybercab

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Credit: Tesla

Tesla brought its innovative Cybercab robotaxi to the National Federation of the Blind (NFB) Annual Convention in Austin, Texas, on July 3 at the JW Marriott Austin.

The hands-on demonstration highlighted the vehicle’s thoughtful design for blind and visually impaired users, underscoring Tesla’s commitment to inclusive autonomous mobility. Attendees, many using white canes or accompanied by service dogs, experienced the steering-wheel-free Cybercab firsthand.

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The showcase emphasized practical features tailored to the needs of the blind community. Braille lettering appears on physical controls, including door releases and emergency buttons, allowing users to navigate interfaces independently through touch. Generous interior space accommodates service animals and assistive devices such as canes, guide dogs, or mobility aids without compromising comfort.

Wheelchair-height seating facilitates easier transfers for users with additional mobility challenges. Photos from the event captured blind attendees approaching the vehicle confidently, service dogs relaxing inside, and hands exploring Braille-equipped handles.

Tesla Robotaxi’s official account detailed these elements, noting the Cybercab’s focus on accessibility, especially noting the Braille lettering and additional space for service animals.

How Tesla Will Transform Mobility for the Blind

Autonomous vehicles like the Cybercab promise revolutionary independence for the roughly 2.2 million visually impaired Americans. Traditional barriers—reliance on sighted drivers, costly paratransit, or limited public transit—often restrict spontaneous travel. Tesla Full Self-Driving aims to eliminate the need for a human operator, enabling on-demand, door-to-door rides via simple app hailing with voice guidance.

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Users gain freedom to work, socialize, shop, or attend events anytime without scheduling hassles or safety concerns. This reduces isolation, boosts employment opportunities, and enhances quality of life, turning mobility from a dependency into true personal autonomy.

The NFB demonstration not only gathered valuable feedback but also generated excitement about a future where technology levels the playing field. By prioritizing inclusive design, Tesla advances a vision of transportation that serves everyone, potentially reshaping daily life for blind individuals and setting a standard for the autonomous industry.

As Cybercab deployment scales, these accessibility innovations could mark a significant step toward equitable mobility.

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Tesla challenges startups to score a gig inside its most advanced European factory

Tesla is challenging startups to bring their best battery tech directly to Gigafactory Berlin.

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Tesla has issued an open challenge to startups across Europe, inviting them to bring their best battery technology directly to the floor of Gigafactory Berlin. The program, called the JUNI x Tesla Battery Cell Giga Challenge, opened applications this month with a deadline of July 24, 2026, and is targeting startups with solutions that can make battery cell manufacturing faster, cheaper, safer, and more scalable at an industrial level.

The timing of the challenge is directly tied to Tesla’s most aggressive European battery investment yet. On May 12, 2026, Giga Berlin plant manager André Thierig announced a $250 million investment to scale the factory’s annual 4680 cell production capacity from 8 GWh to 18 GWh, more than doubling the previous target set just months earlier in December 2025. Thierig confirmed the expansion on X, saying the investment “will enable 18 GWh of annual 4680 cell production and create more than 1,500 new jobs.” Combined with a previously announced battery investment at the Grunheide site now approaches $1.2 billion.


The challenge is looking specifically for startups with proven solutions across five categories: materials, equipment, operations, automation, and artificial intelligence. Applications are screened directly by Tesla’s cell manufacturing team in Grunheide, and the strongest submissions move through technical discussions, a pitch day in front of Tesla stakeholders, and potentially a paid pilot project with the cell team. Tesla is not looking for ideas at concept stage. The program requires applicants to demonstrate working prototypes, test data, or prior pilots before being considered.

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The historical context matters here. Elon Musk first announced plans for what he called the world’s largest battery cell production facility alongside the Giga Berlin car factory back in 2020, targeting up to 250 GWh of annual capacity. Those plans were shelved in 2022 when Tesla shifted its battery investment focus to the United States to take advantage of Inflation Reduction Act incentives. The revival of cell production at Giga Berlin, now backed by over $1 billion in committed capital, represents a return to an ambition that was set aside for three years. As Teslarati has reported, the 4680 format is central to Tesla’s long-term cost reduction strategy across vehicles, energy storage, including the Tesla Semi and Cybercab.

By opening the challenge to outside startups, Tesla is acknowledging that reaching 18 GWh at Grunheide will require technology it does not currently have in-house, and it is willing to pay for the right solutions. For a startup in the battery supply chain, a paid pilot with Tesla’s European cell team is as close to a direct commercial path as the industry offers.

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Texas man charged in fatal Tesla crash where he blamed Autopilot

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A Texas man has been arrested and charged with manslaughter after his Tesla crashed into a home last month, striking a woman inside and killing her. The driver, Michael Butler, claimed the vehicle was in self-driving mode, but information from Tesla shows that Butler overrode the system.

Butler was arrested on Wednesday and booked at the Harris County, Texas, jail. He remained in custody through Thursday and Friday; he did not enter a plea, and his next court hearing is scheduled for Monday.

Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

There are a handful of new clues in the case that could clear Tesla of any wrongdoing, especially as the woman who was killed’s family, the Avilas, filed a wrongful death lawsuit against Tesla and Butler, seeking at least $1 million in damages.

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Charging documents from the Harris County prosecutor now show that Butler, who was working DoorDash the evening of the accident, had been using Full Self-Driving mode without incident through the duration of multiple deliveries that evening.

In the moments leading up to the crash, while in FSD and approaching a left turn, Butler pressed the accelerator pedal, overriding FSD’s speed control, and continued to push it until it reached 100 percent. This caused rapid acceleration; the brake pedal was never pressed, and there is no data to show that Butler aimed to turn away from the curb or house.

The charging documents state:

“I noted that the brake pedal was never pressed in the final minute before the crash. I also did not see any data to indicate that the driver attempted to turn away from the curb that he eventually struck. Further, I observed that no mechanical error was detected or recorded by the vehicle before BUTLER and the Tesla struck the curb.”

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Additionally, a forensic analysis of Butler’s phone showed that he searched Google around the time of the crash with queries questioning why FSD was “too timid,” “not aggressive enough,” and even searched, “FSD is not aggressive enough for city driving.”

The documents outlined this:

“Investigator Veal also informed me that he had received BUTLER’s cell phone from Deputy Amad and that HDAO digital forensics team had completed a data extraction and download of the phone. Multiple Google searches related to Tesla had been made from BUTLER’s phone in the months leading up the crash. I noted multiple searches in May of 2026 indicating an apparent frustration with Tesla’s FSD mode, including the following searches: “Tesla fsd not aggressive enough 2026 model,” “Tesla fsd not [sic) aggressive enough 2026,” “FSD is not aggressive enough for city driving,” and “tesla fsd too timid.”‘

Tesla had claimed just after the crash that its internal data showed Butler had overridden the system’s speed control and pressed the accelerator completely, causing the vehicle to travel at an excessive rate of speed. Eventually, the car slammed into Avila’s house, killing her.

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Butler has now been formally charged with Manslaughter, a felony.

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