News
Rivian’s self-driving patent application hints at driver monitoring functionality
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.
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- Rivian’s driver monitoring patent application. | Image: Rivian/USPTO
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- Rivian’s driver monitoring patent application. | Image: Rivian/USPTO
“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.
The monitoring process is described to work as follows:
- Connect, by vehicle, to wireless device of vehicle occupant.
- 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.
- Determine whether level of awareness of vehicle occupant satisfies a threshold.
- 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.
Elon Musk
Elon Musk’s Boring Company opens Vegas Loop’s newest station
The Fontainebleau is the latest resort on the Las Vegas Strip to embrace the tunneling startup’s underground transportation system.
Elon Musk’s tunneling startup, The Boring Company, has welcomed its newest Vegas Loop station at the Fontainebleau Las Vegas.
The Fontainebleau is the latest resort on the Las Vegas Strip to embrace the tunneling startup’s underground transportation system.
Fontainebleau Loop station
The new Vegas Loop station is located on level V-1 of the Fontainebleau’s south valet area, as noted in a report from the Las Vegas Review-Journal. According to the resort, guests will be able to travel free of charge to the stations serving the Las Vegas Convention Center, as well as to Loop stations in Encore and Westgate.
The Fontainebleau station connects to the Riviera Station, which is located in the northwest parking lot of the convention center’s West Hall. From there, passengers will be able to access the greater Vegas Loop.
Vegas Loop expansion
In December, The Boring Company began offering Vegas Loop rides to and from Harry Reid International Airport. Those trips include a limited above-ground segment, following approval from the Nevada Transportation Authority to allow surface street travel tied to Loop operations.
Under the approval, airport rides are limited to no more than four miles of surface street travel, and each trip must include a tunnel segment. The Vegas Loop currently includes more than 10 miles of tunnels. From this number, about four miles of tunnels are operational.
The Boring Company President Steve Davis previously told the Review-Journal that the University Center Loop segment, which is currently under construction, is expected to open in the first quarter of 2026. That extension would allow Loop vehicles to travel beneath Paradise Road between the convention center and the airport, with a planned station located just north of Tropicana Avenue.
News
Tesla leases new 108k-sq ft R&D facility near Fremont Factory
The lease adds to Tesla’s presence near its primary California manufacturing hub as the company continues investing in autonomy and artificial intelligence.
Tesla has expanded its footprint near its Fremont Factory by leasing a 108,000-square-foot R&D facility in the East Bay.
The lease adds to Tesla’s presence near its primary California manufacturing hub as the company continues investing in autonomy and artificial intelligence.
A new Fremont lease
Tesla will occupy the entire building at 45401 Research Ave. in Fremont, as per real estate services firm Colliers. The transaction stands as the second-largest R&D lease of the fourth quarter, trailing only a roughly 115,000-square-foot transaction by Figure AI in San Jose.
As noted in a Silicon Valley Business Journal report, Tesla’s new Fremont lease was completed with landlord Lincoln Property Co., which owns the facility. Colliers stated that Tesla’s Fremont expansion reflects continued demand from established technology companies that are seeking space for engineering, testing, and specialized manufacturing.
Tesla has not disclosed which of its business units will be occupying the building, though Colliers has described the property as suitable for office and R&D functions. Tesla has not issued a comment about its new Fremont lease as of writing.
AI investments
Silicon Valley remains a key region for automakers as vehicles increasingly rely on software, artificial intelligence, and advanced electronics. Erin Keating, senior director of economics and industry insights at Cox Automotive, has stated that Tesla is among the most aggressive auto companies when it comes to software-driven vehicle development.
Other automakers have also expanded their presence in the area. Rivian operates an autonomy and core technology hub in Palo Alto, while GM maintains an AI center of excellence in Mountain View. Toyota is also relocating its software and autonomy unit to a newly upgraded property in Santa Clara.
Despite these expansions, Colliers has noted that Silicon Valley posted nearly 444,000 square feet of net occupancy losses in Q4 2025, pushing overall vacancy to 11.2%.
In Pennsylvania, we got between 10 and 12 inches of snow over the weekend as a nasty Winter storm ripped through a large portion of the country, bringing snow to some areas and nasty ice storms to others.
I have had a Model Y Performance for the week courtesy of Tesla, which got the car to me last Monday. Today was my last full day with it before I take it back to my local showroom, and with all the accumulation on it, I decided to run a cool little experiment: How long would it take for Tesla’s Defrost feature to melt 8 inches of snow?
Tesla’s Defrost feature is one of the best and most underrated that the car has in its arsenal. While every car out there has a defrost setting, Tesla’s can be activated through the Smartphone App and is one of the better-performing systems in my opinion.
It has come in handy a lot through the Fall and Winter, helping clear up my windshield more efficiently while also clearing up more of the front glass than other cars I’ve owned.
The test was simple: don’t touch any of the ice or snow with my ice scraper, and let the car do all the work, no matter how long it took. Of course, it would be quicker to just clear the ice off manually, but I really wanted to see how long it would take.
Tesla Model Y heat pump takes on Model S resistive heating in defrosting showdown
Observations
I started this test at around 10:30 a.m. It was still pretty cloudy and cold out, and I knew the latter portion of the test would get some help from the Sun as it was expected to come out around noon, maybe a little bit after.
I cranked it up and set my iPhone up on a tripod, and activated the Time Lapse feature in the Camera settings.
The rest of the test was sitting and waiting.
It didn’t take long to see some difference. In fact, by the 20-minute mark, there was some notable melting of snow and ice along the sides of the windshield near the A Pillar.
However, this test was not one that was “efficient” in any manner; it took about three hours and 40 minutes to get the snow to a point where I would feel comfortable driving out in public. In no way would I do this normally; I simply wanted to see how it would do with a massive accumulation of snow.
It did well, but in the future, I’ll stick to clearing it off manually and using the Defrost setting for clearing up some ice before the gym in the morning.
Check out the video of the test below:
❄️ How long will it take for the Tesla Model Y Performance to defrost and melt ONE FOOT of snow after a blizzard?
Let’s find out: pic.twitter.com/Zmfeveap1x
— TESLARATI (@Teslarati) January 26, 2026
Elon Musk’s Boring Company opens Vegas Loop’s newest station
Tesla leases new 108k-sq ft R&D facility near Fremont Factory
