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IIHS announces new ratings set for the safeguards of semi-autonomous vehicles

Credit: Andy Slye/YouTube

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The Insurance Institute for Highway Safety (IIHS) has announced that it is developing a new ratings program that evaluates the safeguards that vehicles with partial automation employ to help drivers stay attentive.

The IIHS will use four levels for rating the safeguards: good, acceptable, marginal, or poor. Vehicles with “good” safeguard system ratings will need to ensure that the driver’s eyes are directed at the road and their hands are either on the wheel or ready to grab it at any point. Vehicles with escalating alert systems and appropriate emergency procedures when a driver does not meet those conditions will also be required, the IIHS said.

Expectations for the IIHS are that the first set of ratings will be released in 2022. The precise timing is currently not solidified as supply chain bottlenecks have affected the IIHS’ ability to obtain test vehicles from manufacturers.

IIHS President David Harkey believes a rating system for these “driver monitoring” systems could determine their effectiveness and whether safeguards actually hold drivers accountable. “Partial automation systems may make long drives seem like less of a burden, but there is no evidence that they make driving safer,” Harkey said. ” In fact, the opposite may be the case if systems lack adequate safeguards.”

Self-driving cars are not yet available to consumers, the IIHS reassures in its press release. While some advertising operations or product names could be somewhat misleading, the IIHS admits that some vehicles have partial automation. However, the human driver is still required to handle many routine driving tasks that many of the systems simply cannot perform. The driver always needs to be attentive and monitor the vehicle’s behavior, especially in case of an emergency where the driver needs to take over control of the car. The numerous semi-autonomous or partially automated programs on the market, like Tesla Autopilot, Volvo Pilot Assist, and GM’s Super Cruise, to name a few, all have safeguards in place to help ensure drivers are focused and ready. However, the IIHS says that “none of them meet all the pending IIHS criteria.”

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The previously named partially automated driving systems all use cameras, radar, or other sensors to “see” the road. Systems currently offered on the market combine Adaptive Cruise Control (ACC) and lane centering with other driver assistance features. Automated lane changing is becoming common as well, and is a great example of one of these additional features.

Regardless of how many features a semi-autonomous driving program has, all of them still require the driver to remain attentive and vigilant during operation. This does not mean that all drivers maintain attention, as some may use cheat devices or other loopholes to operate a vehicle with semi-autonomous features in a fully autonomous way. Additionally, the IIHS mentions in its press release that some manufacturers “have oversold the capabilities of their systems, prompting drivers to treat the systems as if they can drive the car on their own.”

RELATED:

Level 2 systems like Tesla Autopilot can improve drivers’ attentiveness: IIHS study

The main issue is the fact that many operators deliberately misuse the systems. IIHS Research Scientist Alexandra Mueller is spearheading the new ratings program, and she says that abuse of the systems is one of many problems with semi-autonomous vehicle features.

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“The way many of these systems operate gives people the impression that they’re capable of doing more than they really are,” Mueller said regarding the features. “But even when drivers understand the limitations of partial automation, their minds can still wander. As humans, it’s harder for us to remain vigilant when we’re watching and waiting for a problem to occur than it is when we’re doing all the driving ourselves.”

There is no way to monitor a driver’s thoughts or their level of focus on driving. However, there are ways to monitor gaze, head and hand position, posture, and other indicators that, when correctly displayed, could be consistent with someone who is actively engaged in driving.

The IIHS’ new ratings program aims to encourage the introduction of safeguards that can help reduce intentional and unintentional misuse. They would not address the functional aspects of some systems and whether they are activating properly, which could also contribute to crashes. It will only judge the systems that monitor human behaviors while driving.

“To earn a good rating, systems should use multiple types of alerts to quickly remind the driver to look at the road and return their hands to the wheel when they’ve looked elsewhere or left the steering unattended for too long. Evidence shows that the more types of alerts a driver receives, the more likely they will notice them and respond. These alerts must begin and escalate quickly. Alerts might include chimes, vibrations, pulsing the brakes, or tugging on the driver’s seat belt. The important thing is that the alerts are delivered through more channels and with greater urgency as time passes,” the IIHS says. Systems that work effectively would perform necessary maneuvers, like bringing the vehicle to a crawl or a stop if drivers that fail to respond to the numerous alerts. If an escalation of this nature occurs, the driver should be locked out of the system or the remainder of the drive, or until the vehicle is turned off and back on.

The rating criteria may also include certain requirements for automated lane changes, ACC, and lane centering. Automated lane changes should be initiated, or at least confirmed, by the driver before they are performed. If a vehicle comes to a complete stop when an ACC system is activated, the system “should not automatically resume if the driver is not looking at the road or the vehicle has been stopped for too long.” Lane centering features should also encourage the driver to share in steering, rather than switching off automatically when the driver adjusts the wheel. This could discourage some drivers from participating in driving, the IIHS said. Systems should also not be used if a seatbelt is unfastened, or when AEB or lane departure prevention is disabled.

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“Nobody knows when we’ll have true self-driving cars, if ever. As automakers add partial automation to more and more vehicles, it’s imperative that they include effective safeguards that help drivers keep their heads in the game,” Harkey said.

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla’s northernmost Supercharger in North America opens

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Credit: Tesla

Tesla has opened its northernmost Supercharger in Fairbanks, Alaska, with eight V4 stalls located in one of the most frigid cities in the U.S.

Located just 196 miles from the Arctic Circle, Fairbanks’s average temperature for the week was around -12 degrees Fahrenheit. However, there are plenty of Tesla owners in Alaska who have been waiting for more charging options out in public.

There are only 36 total Supercharger stalls in Alaska, despite being the largest state in the U.S.

Eight Superchargers were added to Fairbanks, which will eventually be a 48-stall station. Tesla announced its activation today:

The base price per kWh is $0.43 at the Fairbanks Supercharger. Thanks to its V4 capabilities, it can charge at speeds up to 325 kW.

Despite being the northernmost Supercharger in North America, it is not even in the Top 5 northernmost Superchargers globally, because Alaska is south of Norway. The northernmost Supercharger is in Honningsvåg, Norway. All of the Top 5 are in the Scandanavian country.

Tesla’s Supercharger expansion in 2025 has been impressive, and although it experienced some early-quarter slowdowns due to V3-to-V4 hardware transitions, it has been the company’s strongest year for deployments.

Through the three quarters of 2025, the company has added 7,753 stations and 73,817 stalls across the world, a 16 percent increase in stations and an 18 percent increase in stalls compared to last year.

Tesla is on track to add over 12,000 stalls for the full year, achieving an average of one new stall every hour, an impressive statistic.

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Recently, the company wrapped up construction at its Supercharger Oasis in Lost Hills, California, a 168-stall Supercharger that Tesla Solar Panels completely power. It is the largest Supercharger in the world.

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Tesla hints toward Premium Robotaxi offering with Model S testing

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

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Credit: Sawyer Merritt | X

Tesla Model S vehicles were spotted performing validation testing with LiDAR rigs in California today, a pretty big switch-up compared to what we are used to seeing on the roads.

Tesla utilizes the Model Y crossover for its Robotaxi fleet. It is adequately sized, the most popular vehicle in its lineup, and is suitable for a wide variety of applications. It provides enough luxury for a single rider, but enough room for several passengers, if needed.

However, the testing has seemingly expanded to one of Tesla’s premium flagship offerings, as the Model S was spotted with the validation equipment that is seen entirely with Model Y vehicles. We have written several articles on Robotaxi testing mules being spotted across the United States, but this is a first:

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

It seems to hint that Tesla could add a premium, more luxury offering to its Robotaxi platform eventually. Think about it: Uber has Uber Black, Lyft has Lyft Black. These vehicles and services are associated with a more premium cost as they combine luxury models with more catered transportation options.

Tesla could be testing the waters here, and it could be thinking of adding the Model S to its fleet of ride-hailing vehicles.

Reluctant to remove the Model S from its production plans completely despite its low volume contributions to the overall mission of transitioning the world to sustainable energy, the flagship sedan has always meant something. CEO Elon Musk referred to it, along with its sibling Model X, as continuing on production lines due to “sentimental reasons.”

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However, its purpose might have been expanded to justify keeping it around, and why not? It is a cozy, premium offering, and it would be great for those who want a little more luxury and are willing to pay a few extra dollars.

Of course, none of this is even close to confirmed. However, it is reasonable to speculate that the Model S could be a potential addition to the Robotaxi fleet. It’s capable of all the same things the Model Y is, but with more luxuriousness, and it could be the perfect addition to the futuristic fleet.

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Rivian unveils self-driving chip and autonomy plans to compete with Tesla

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

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Credit: Rivian

Rivian unveiled its self-driving chip and autonomy plans to compete with Tesla and others at its AI and Autonomy Day on Thursday in Palo Alto, California.

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

CEO RJ Scaringe said it will learn and become more confident and robust as more miles are driven and it gathers more data. This is what Tesla uses through a neural network, as it uses deep learning to improve with every mile traveled.

He said:

“I couldn’t be more excited for the work our teams are driving in autonomy and AI. Our updated hardware platform, which includes our in-house 1600 sparse TOPS inference chip, will enable us to achieve dramatic progress in self-driving to ultimately deliver on our goal of delivering L4. This represents an inflection point for the ownership experience – ultimately being able to give customers their time back when in the car.”

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At first, Rivian plans to offer the service to personally-owned vehicles, and not operate as a ride-hailing service. However, ride-sharing is in the plans for the future, he said:

“While our initial focus will be on personally owned vehicles, which today represent a vast majority of the miles to the United States, this also enables us to pursue opportunities in the rideshare space.”

The Hardware

Rivian is not using a vision-only approach as Tesla does, and instead will rely on 11 cameras, five radar sensors, and a single LiDAR that will face forward.

It is also developing a chip in-house, which will be manufactured by TSMC, a supplier of Tesla’s as well. The chip will be known as RAP1 and will be about 50 times as powerful as the chip that is currently in Rivian vehicles. It will also do more than 800 trillion calculations every second.

RAP1 powers the Autonomy Compute Module 3, known as ACM3, which is Rivian’s third-generation autonomy computer.

ACM3 specs include:

  • 1600 sparse INT8 TOPS (Trillion Operations Per Second).
  • The processing power of 5 billion pixels per second.
  • RAP1 features RivLink, a low-latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible.
  • RAP1 is enabled by an in-house developed AI compiler and platform software

As far as LiDAR, Rivian plans to use it in forthcoming R2 cars to enable SAE Level 4 automated driving, which would allow people to sit in the back and, according to the agency’s ratings, “will not require you to take over driving.”

More Details

Rivian said it will also roll out advancements to the second-generation R1 vehicles in the near term with the addition of UHF, or Universal Hands-Free, which will be available on over 3.5 million miles of roadway in the U.S. and Canada.

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Rivian will now join the competitive ranks with Tesla, Waymo, Zoox, and others, who are all in the race for autonomy.

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