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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 Model Y L’s impressive specs surface in China’s recent MIIT filing

The Tesla Model Y L is expected to launch later this year.

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Credit: Tesla

The specs of the upcoming Tesla Model Y L has appeared in new Chinese regulatory filings, revealing key specifications including a six-seat layout and an extended range of up to 751 kilometers. The variant is expected to launch later this year alongside a new long-range Model 3 variant rated at 830 kilometers.

The updates were listed on the China Ministry of Industry and Information Technology’s (MIIT) latest batch of new energy vehicle models that are eligible for vehicle purchase tax exemptions.

Model Y L to debut with larger battery, six-seat layout

Listed under the model code TSL6500BEVBA0, the Model Y L will feature dual motors producing 142 kW at the front and 198 kW at the rear. It will be powered by a 465-kilogram 82.0-kWh lithium-ion battery from LG Energy Solution, with a pack energy density of 176 Wh/kg, as noted in a CNEV Post report. The long-range crossover achieves 751 km on the lenient CLTC cycle, making it Tesla’s highest-range Model Y to date in China despite its curb weight of 2,088 kg.

The “L” designation is believed to refer to the vehicle’s larger size and seating configuration, as the new variant is listed with six seats. It builds on Tesla’s strategy to diversify offerings in the Model Y lineup, which currently includes both RWD and AWD five-seat versions.

Model 3+ breaks record with 830 km CLTC range

Alongside the Model Y L, Tesla China also registered a new rear-wheel-drive Model 3, which was designated with the model code TSL7000BEVBR1. The vehicle boasts either 800 or 830 km of range on the CLTC cycle, depending on its trim. This marks the highest range yet for any Tesla vehicle in China.

The variant will use a 448-kilogram, 78.4-kWh LG-supplied battery with an energy density of 175 Wh/kg and a peak motor output of 225 kW. The vehicle’s curb weight is listed at 1,760 kg. The model was previously identified in filings as “Model 3+,” hinting at a possible tier above the existing long-range variant, which tops out at 753 km CLTC.

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Elon Musk explains why Tesla stepped back from Project Dojo

The update was initially reported by Bloomberg News, which cited people reportedly familiar with the matter.

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(Credit: Tesla)

Elon Musk has confirmed that Tesla is stepping back from its Dojo supercomputer initiative and focusing instead on the company’s in-house AI5 and AI6 chips. 

The update was initially reported by Bloomberg News, which cited people reportedly familiar with the matter.

Project Dojo Ends

As per Bloomberg, Peter Bannon, who led Project Dojo, will be departing Tesla following Elon Musk’s decision to shut down the initiative. The publication claimed that Tesla’s Project Dojo team has lost about 20 members recently, and the remaining members of the initiative would be reassigned to other data center and compute projects within Tesla. 

Dojo was expected to help Tesla train its Autopilot and Full Self-Driving systems. With this change, Tesla will reportedly be increasing its reliance on external partners for its training hardware. These partners reportedly include Nvidia, AMD, and Samsung, among other companies.

Credit: Elon Musk/X

Musk Explains Dojo Shutdown

In a series of posts on X, Elon Musk explained that it doesn’t make much sense for Tesla to divide its resources to scale two different chip designs. And since the company is putting in a lot of effort in its AI5 and AI6 chips–which would be used not for training but in actual products like Optimus and the Cybercab–it was time for Project Dojo to take a bow.

“It doesn’t make sense for Tesla to divide its resources and scale two quite different AI chip designs. The Tesla AI5, AI6 and subsequent chips will be excellent for inference and at least pretty good for training. All effort is focused on that.

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“In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude. One could call that Dojo 3, I suppose. The difference in real-world performance between AI4 and AI5 is far more than any chip version I’ve ever heard of by a lot. It’s real good,” Musk wrote in his post.

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Tesla creates clever solution to simplify and improve its Service

Raj Jegannathan, a Vice President of IT/AI-Infra, Apps, Infosec, and Vehicle Service Operations, revealed that Tesla has started a small pilot program at a few service locations to combat this issue.

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Credit: Tesla

Tesla has created a clever solution to simplify and improve its Service. Tesla performs most of the services that are needed on its vehicles at its company-owned Service Centers.

However, service has been a weak point of the company, as some regions have fewer Service Centers than others. This can cause long wait times for Tesla owners in some parts of the country.

There are also instances where customers do not agree with what Tesla is saying about their vehicle. In fact, one instance that revealed this new change Tesla is making to its Service was precisely that.

One owner posted on X that his vehicle’s battery seal had failed after a recall was issued. Tesla insurance and Tesla Service both did not assist, and it took CEO Elon Musk stepping in to get the issue resolved:

Another owner suggested there should be a more streamlined communications process between the customer and the Service Center, a solution that has been missing.

Raj Jegannathan, a Vice President of IT/AI-Infra, Apps, Infosec, and Vehicle Service Operations, revealed that Tesla has started a small pilot program at a few service locations to combat this issue.

Elon Musk wants Tesla Service to fix two-thirds of cars in the same day

Jegannathan said that Tesla has started to share local and regional leader contact information so customers have the ability to reach out when they have complaints or disagree with warranty claims, changes in estimates, or initial diagnostics.

It is available in a handful of locations already, and Jegannathan said that once abuse guardrails are built, this will expand to all locations:

This would be a major improvement in the Service portion of Tesla’s business. There are common disagreements between Service and customers, specifically when Service’s suggestions don’t align with the customer’s beliefs.

When it comes to things like a warranty claim, these issues are not really up for interpretation. Instead, the repairs should be made. If there is a misunderstanding on Service’s side, a simple message from the customer could have resolved the issue. That’s basically what happened here.

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