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Stanford studies human impact when self-driving car returns control to driver
Researchers involved with the Stanford University Dynamic Design Lab have completed a study that examines how human drivers respond when an autonomous driving system returns control of a car to them. The Lab’s mission, according to its website, is to “study the design and control of motion, especially as it relates to cars and vehicle safety. Our research blends analytical approaches to vehicle dynamics and control together with experiments in a variety of test vehicles and a healthy appreciation for the talents and demands of human drivers.” The results of the study were published on December 6 in the first edition of the journal Science Robotics.
Holly Russell, lead author of study and former graduate student at the Dynamic Design Lab says, “Many people have been doing research on paying attention and situation awareness. That’s very important. But, in addition, there is this physical change and we need to acknowledge that people’s performance might not be at its peak if they haven’t actively been participating in the driving.”
The report emphasizes that the DDL’s autonomous driving program is its own proprietary system and is not intended to mimic any particular autonomous driving system currently available from any automobile manufacturer, such as Tesla’s Autopilot.
The study found that the period of time known as “the handoff” — when the computer returns control of a car to a human driver — can be an especially risky period, especially if the speed of the vehicle has changed since the last time the person had direct control of the car. The amount of steering input required to accurately control a vehicle varies according to speed. Greater input is needed at slower speeds while less movement of the wheel is required at higher speeds.
People learn over time how to steer accurately at all speeds based on experience. But when some time elapses during which the driver is not directly involved in steering the car, the researchers found that drivers require a brief period of adjustment before they can accurately steer the car again. The greater the speed change while the computer is in control, the more erratic the human drivers were in their steering inputs upon resuming control.
“Even knowing about the change, being able to make a plan and do some explicit motor planning for how to compensate, you still saw a very different steering behavior and compromised performance,” said Lene Harbott, co-author of the research and a research associate in the Revs Program at Stanford.
Handoff From Computer to Human
The testing was done on a closed course. The participants drove for 15 seconds on a course that included a straightaway and a lane change. Then they took their hands off the wheel and the car took over, bringing them back to the start. After familiarizing themselves with the course four times, the researchers altered the steering ratio of the cars at the beginning of the next lap. The changes were designed to mimic the different steering inputs required at different speeds. The drivers then went around the course 10 more times.
Even though they were notified of the changes to the steering ratio, the drivers’ steering maneuvers differed significantly from their paths previous to the modifications during those ten laps. At the end, the steering ratios were returned to the original settings and the drivers drove 6 more laps around the course. Again the researchers found the drivers needed a period of adjustment to accurately steer the cars.
The DDL experiment is very similar to a classic neuroscience experiment that assesses motor adaptation. In one version, participants use a hand control to move a cursor on a screen to specific points. The way the cursor moves in response to their control is adjusted during the experiment and they, in turn, change their movements to make the cursor go where they want it to go.
Just as in the driving test, people who take part in the experiment have to adjust to changes in how the controller moves the cursor. They also must adjust a second time if the original response relationship is restored. People can performed this experiment themselves by adjusting the speed of the cursor on their personal computers.
“Even though there are really substantial differences between these classic experiments and the car trials, you can see this basic phenomena of adaptation and then after-effect of adaptation,” says IIana Nisky, another co-author of the study and a senior lecturer at Ben-Gurion University in Israel “What we learn in the laboratory studies of adaptation in neuroscience actually extends to real life.”
In neuroscience this is explained as a difference between explicit and implicit learning, Nisky explains. Even when a person is aware of a change, their implicit motor control is unaware of what that change means and can only figure out how to react through experience.
Federal and state regulators are currently working on guidelines that will apply to Level 5 autonomous cars. What the Stanford research shows is that until full autonomy becomes a reality, the “hand off” moment will represent a period of special risk, not because of any failing on the part of computers but rather because of limitations inherent in the brains of human drivers.
The best way to protect ourselves from that period of risk is to eliminate the “hand off” period entirely by ceding total control of driving to computers as soon as possible.
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Tesla officially publishes Q4 2025 vehicle delivery consensus
By releasing these numbers directly, Tesla establishes a clear, transparent benchmark ahead of its actual results.
Tesla has taken the rather unusual step of officially publishing its company-compiled Q4 2025 delivery consensus on the Investor Relations site. As per analyst estimates, Tesla is expected to deliver 422,850 vehicles and deploy 13.4 GWh of battery storage systems this Q4 2025.
By releasing these numbers directly, Tesla establishes a clear, transparent benchmark ahead of its actual results, making it harder for narratives to claim a “miss” based on outlier estimates.
Official consensus sets the record straight
Tesla’s IR press release detailed the consensus from 20 analysts for vehicle deliveries and 16 analysts for energy deployments. As per the release, full-year 2025 consensus delivery estimates come in at 1,640,752 vehicles, an 8.3% decline from 2025’s FY deliveries of 1,789,226 cars.
Tesla noted that while it “does not endorse any information, recommendations or conclusions made by the analysts,” its press release does provide a notable reference point. Analysts contributing to the company compiled consensus include Daiwa, DB, Wedbush, Oppenheimer, Canaccord, Baird, Wolfe, Exane, Goldman Sachs, RBC, Evercore ISI, Barclays, Wells Fargo, Morgan Stanley, UBS, Jefferies, Needham, HSBC, Cantor Fitzgerald, and William Blair.
Tesla’s busy Q4 2025
Tesla seems to be pushing hard to deliver as many vehicles as possible before the end of 2025, despite the company’s future seemingly being determined not by vehicle deliveries, but FSD and Optimus’ rollout and ramp. Still, reports from countries such as China are optimistic, with posts on social media hinting that Tesla’s delivery centers in the country are appearing packed as the final weeks of 2025 unfold.
The Tesla Model Y and Model 3 are also still performing well in China’s premium EV segment. Based on data from January to November, the Model Y took China’s number one spot in the RMB 200,000-RMB 300,000 segment for electric vehicles, selling 359,463 units. The Model 3 sedan took third place, selling 172,392. This is quite impressive considering that both the Model Y and Model 3 command a premium compared to their domestic rivals.
Elon Musk
Tesla’s Elon Musk accepts invitation to Israel’s Smart Transportation Conference
The announcement was shared by the Israeli Prime Minister in a post on social media platform X.
Elon Musk has reportedly accepted an invitation from Israeli Prime Minister Benjamin Netanyahu to participate in the country’s Smart Transportation Conference in March 2026.
The announcement was shared by the Israeli Prime Minister in a post on social media platform X.
A call and an invitation
Netanyahu posted on X about Musk, stating in Hebrew: “Last night, I held a joint conference call from Florida with entrepreneur Elon Musk, Minister of Transportation Miri Regev, and the head of the National AI Headquarters, Erez Askal. In the framework of the conversation, Musk responded to my invitation and Minister Regev’s invitation to participate in the Smart Transportation Conference that will be held in March.”
Netanyahu added that he and Musk discussed continuing initiatives such as the promotion of autonomous vehicle laws and the boosting of AI technologies in Israel. This, according to the Prime Minister, is aimed at making the country a global leader in emerging technologies.
“Additionally, we discussed the continuation of collaborations with Tesla and the promotion of the law pertaining to autonomous vehicles. I spoke at length with Musk about promoting and developing artificial intelligence technologies in Israel, and I said in our conversation: We intend to catapult Israel and turn it into a global leader in the field, just as we did in cyber and other technologies,” Netanyahu added.
Tesla FSD’s upcoming rollout in Israel
Elon Musk’s upcoming conference appearance in Israel could hint at Tesla’s upcoming rollout of FSD and its Robotaxi service in the country. Previous reports have hinted that FSD is nearing regulatory approval in Israel, following strong advocacy from local owners and direct intervention from the government.
Nearly 1,000 Tesla drivers petitioned authorities, highlighting FSD’s potential to enhance road safety. Transport and Road Safety Minister Miri Regev responded positively on X, writing “I’ve received the many referrals from Tesla drivers in Israel! Tesla drivers? Soon you won’t need to hold the steering wheel.”
Minister Regev has instructed the ministry’s Director-General to accelerate the approval process, including necessary tests. A dedicated working group, led by Moshe Ben-Zaken, is also coordinating with regulatory and safety agencies to meet international standards.
News
Tesla China delivery centers look packed as 2025 comes to a close
Needless to say, it appears that Tesla China seems intent on ending 2025 on a strong note.
Tesla’s delivery centers in China seem to be absolutely packed as the final days of 2025 wind down, with photos on social media showing delivery locations being filled wall-to-wall with vehicles waiting for their new owners.
Needless to say, it appears that Tesla China seems intent on ending 2025 on a strong note.
Full delivery center hints at year-end demand surge
A recent image from a Chinese delivery center posted by industry watcher @Tslachan on X revealed rows upon rows of freshly prepared Model Y and Model 3 units, some of which were adorned with red bows and teddy bears. Some customers also seem to be looking over their vehicles with Tesla delivery staff.
The images hint at a strong year-end push to clear inventory and deliver as many vehicles as possible. Interestingly enough, several Model Y L vehicles could be seen in the photos, hinting at the demand for the extended wheelbase-six seat variant of the best-selling all-electric crossover.
Strong demand in China
Consumer demand for the Model Y and Model 3 in China seems to be quite notable. This could be inferred from the estimated delivery dates for the Model 3 and Model Y, which have been extended to February 2026 for several variants. Apart from this, the Model Y and Model 3 also continue to rank well in China’s premium EV segment.
From January to November alone, the Model Y took China’s number one spot in the RMB 200,000-RMB 300,000 segment for electric vehicles, selling 359,463 units. The Model 3 sedan took third place, selling 172,392. This is quite impressive considering that both the Model Y and Model 3 are still priced at a premium compared to some of their rivals, such as the Xiaomi SU7 and YU7.
With delivery centers in December being quite busy, it does seem like Tesla China will end the year on a strong note once more.
Tesla officially publishes Q4 2025 vehicle delivery consensus
Tesla’s Elon Musk accepts invitation to Israel’s Smart Transportation Conference
