The Insurance Institute for Highway Safety (IIHS) tested Tesla Autopilot safeguards and found that drivers are pretty quick to adapt to the windows of opportunity the suite gives after warning them to pay attention.
The IIHS study sought to determine whether partially automated driving systems and their safeguards increase driver attentiveness. With the rollout of more advanced driver assistance systems (ADAS) and semi-autonomous driving functionalities, the goal is to increase safety.
However, these suites still require the driver to pay attention and be aware of any potential opportunity to take over if needed. These driving systems and features are designed to increase safety but still require the driver’s full attention, hence their semi-autonomous label.
Credit: Tesla
For the study, the IIHS tested both Tesla Autopilot safeguards and those available in Volvo’s Pilot Assist.
The study gave 14 drivers a month with a 2020 Tesla Model 3 and required them to travel on Autopilot, when available, over one month. The IIHS wanted to see how drivers behaved leading up to, during, and after attention reminders prompted by a lack of focus on their end.
The Autopilot study found that drivers could learn safeguard sequences and identify “windows of opportunity” to perform non-driving-related tasks. These vehicles still utilized an Autopilot nag and a torque sensor to monitor whether the driver was paying attention. Failure to keep hands on the steering wheel would result in attention reminders.
Failure to change after the reminders would result in suspension of the Autopilot system, commonly referred to as “Autopilot jail.”
The study found:
“In total, the volunteers drove a little more than 12,000 miles with Autopilot engaged. During that time, they triggered 3,858 attention-related warnings from the partial automation system. About half of those alerts occurred when they had at least one hand on the steering wheel but were apparently not moving it enough to satisfy the torque sensor.”
Most warnings did not go past the initial reminder, and only 72 instances resulted in the driver not responding fast enough to prevent the alerts from escalating.
The study found that while initial warnings increased by 26 percent over the first four weeks, showing drivers were prone to expect it, escalations fell by 64 percent, meaning they did not allow the system to continue warning them.
However, this does not mean that non-driving secondary activities stopped after the first warning. Instead, the study showed something interesting:
“The researchers found that the drivers did nondriving secondary activities, looked away from the road, and had both hands off the wheel more often during the alerts and in the 10 seconds before and after them as they learned how the attention reminders worked. The longer they used the system, the less time it took them to take their hands off the wheel again once the alerts stopped.”
The IIHS admits that the safety impact of the change is hard to measure. While the agency noted that some research shows the longer a driver allows their attention to wander, the more likely they will be involved in an accident, the study also said that “even short lapses of attention become so frequent that the periods of supposed engagement between them have little value.”
The study also said the safeguards can be beneficial to behavior immediately and in the longer term, and other patterns showed potentially unintended consequences:
“The current study has shown that driver interactions with partial automation are dynamic. Some of the changes we observed indicate that system safeguards can beneficially shape behavior both immediately and in the longer term, whereas other patterns revealed potentially unintended consequences. It is important to note that these findings are likely not unique to Tesla’s Autopilot, as many systems on the market have overtly similar safeguard designs. As such, some observations from this study maybe relevant to other driver assistance technology that still requires the driver to be engaged in the driving task.”
IIHS Senior Research Scientist Alexandra Mueller, who led the study, said:
“These results show that escalating, multimodal attention reminders are very effective in getting drivers to change their behavior. However, better safeguards are needed to ensure that the behavior change actually translates to more attentive driving.”
While this study provides evidence that perhaps better safeguards are needed, it is important to note that Tesla has upgraded the in-cabin camera to monitor driver attentiveness.
Tesla activates cabin-facing camera in bid to improve vehicle safety
Additionally, many cars are on the road without these driver assistance and safety features.
Distracted driving is going to occur whether a vehicle is equipped with modern technology or not.
Tesla and other automakers have brought their newest vehicles up to speed in the fight against distracted driving, and perhaps this study showed that warnings could and should come at varying rates to prevent anticipation from drivers.
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Lemonade launches Tesla FSD insurance program in Oregon
The program was announced by Lemonade co-founder Shai Wininger on social media platform X.
Tesla drivers in Oregon can now receive significant insurance discounts when using FSD, following the launch of Lemonade’s new Autonomous Car insurance program.
The program was announced by Lemonade co-founder Shai Wininger on social media platform X.
Lemonade launches FSD-based insurance in Oregon
In a post on X, Wininger confirmed that Lemondade’s Autonomous Car insurance product for Tesla is now live in Oregon. The program allows eligible Tesla owners to receive roughly 50% off insurance costs for every mile driven using Tesla’s FSD system.
“And… we’re ON. @Lemonade_Inc’s Autonomous Car for @Tesla FSD is now live in Oregon. Tesla drivers in Oregon can now get ~50% off their Tesla FSD-driven miles + the best car insurance experience in the US, bar none,” Wininger wrote in his post.
As per Lemonade on its official website, the program is built on Tesla’s safety data, which indicates that miles driven using FSD are approximately twice as safe as those driven manually. As a result, Lemonade prices those miles at a lower rate. The insurer noted that as FSD continues to improve, associated discounts could increase over time.
How Lemonade tracks FSD miles
Lemonade’s FSD discount works through a direct integration with Tesla vehicles, enabled only with a driver’s explicit permission. Once connected, the system distinguishes between miles driven manually and those driven using FSD, applying the discount automatically to qualifying miles.
There is no minimum FSD usage requirement. Drivers who use FSD occasionally still receive discounted rates for those miles, while non-FSD miles are billed at competitive standard rates. Lemonade also emphasized that coverage and claims handling remain unchanged regardless of whether a vehicle is operating under manual control or FSD at the time of an incident.
The program is currently available only to Teslas equipped with Hardware 4 or newer, running firmware version 2025.44.25.5 or later. Lemonade also allows policyholders to bundle Tesla insurance with renters, homeowners, pet, or life insurance policies for additional savings.
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Tesla exec: Preparations underway but no firm timeline yet for FSD rollout in China
The information was related by Tesla China Vice President Grace Tao in a comment to local media.
Tesla has not set a specific launch date for Full Self-Driving in China, despite the company’s ongoing preparations for a local FSD rollout.
The information was related by Tesla China Vice President Grace Tao in a comment to local media.
Tesla China prepares FSD infrastructure
Speaking in a recent media interview, the executive confirmed that Tesla has established a local training center in China to support the full adaptation of FSD to domestic driving conditions, as noted in a report from Sina News. However, she also noted that the company does not have a specific date when FSD will officially roll out in China.
“We have set up a local training center in China specifically to handle this adaptation,” Tao said. “Once officially released, it will demonstrate a level of performance that is no less than, and may even surpass, that of local drivers.”
Tao also emphasized the rapid accumulation of data by Tesla’s FSD system, with the executive highlighting that Full Self-Driving has now accumulated more than 7.5 billion miles of real-world driving data worldwide.
Possible 2026 rollout
The Tesla executive’s comments come amidst Elon Musk’s previous comments suggesting that regulatory approval in China could arrive sometime this 2026. During Tesla’s annual shareholder meeting in November 2025, Musk clarified that FSD had only received “partial approval” in China, though full authorization could potentially arrive around February or March 2026.
Musk reiterated that timeline at the World Economic Forum in Davos, when he stated that FSD approval in China could come as early as February.
Tesla’s latest FSD software, version 14, is already being tested in more advanced deployments in the United States. The company has also started the rollout of its fully unsupervised Robotaxis in Austin, Texas, which no longer feature safety monitors.
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Tesla Semi lines up for $165M in California incentives ahead of mass production
The update was initially reported by The Los Angeles Times.
Tesla is reportedly positioned to receive roughly $165 million in California clean-truck incentives for its Semi.
The update was initially reported by The Los Angeles Times.
As per the Times, the Tesla Semi’s funding will come from California’s Hybrid and Zero-Emission Truck and Bus Incentive Project (HVIP), which was designed to accelerate the adoption of cleaner medium- and heavy-duty vehicles. Since its launch in 2009, the HVIP has distributed more than $1.6 billion to support zero-emission trucks and buses across the state.
In recent funding rounds, nearly 1,000 HVIP vouchers were provisionally reserved for the Tesla Semi, giving Tesla a far larger share of available funding than any other automaker. An analysis by the Times found that even after revisions to public data, Tesla still accounts for about $165 million in incentives. The next-largest recipient, Canadian bus manufacturer New Flyer, received roughly $68 million.
This is quite unsurprising, however, considering that the Tesla Semi does not have a lot of competition in the zero-emissions trucking segment.
To qualify for HVIP funding, vehicles must be approved by the California Air Resources Board and listed in the program catalog, as noted in an electrive report. When the Tesla Semi voucher applications were submitted, public certification records only showed eligibility for the 2024 model year, with later model years not yet listed.
State officials have stated that certification details often involve confidential business information and that funding will only be paid once vehicles are fully approved and delivered. Still, the first-come, first-served nature of HVIP means large voucher reservations can effectively crowd out competing electric trucks. Incentive amounts for the Semi reportedly ranged from about $84,000 to as much as $351,000 per vehicle after data adjustments.
Unveiled in 2017, the Tesla Semi has seen limited deliveries so far, though CEO Elon Musk has recently reiterated that the Class 8 all-electric truck will enter mass production this year.
Lemonade launches Tesla FSD insurance program in Oregon
Tesla exec: Preparations underway but no firm timeline yet for FSD rollout in China
