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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 adds new surprising fee to Robotaxi program
“Additional cleaning was required for the vehicle after your trip. A fee has been added to your final cost to cover this service. Please contact us if you have any questions.”
Tesla has added a new and somewhat surprising fee to the Robotaxi program. It’s only surprising because it was never there before.
Tesla shocked everyone when it launched its Robotaxi platform and offered riders the opportunity to tip, only to tell them they do not accept tips. It was one of the company’s attempts at being humorous as it rolled out its driverless platform to people in Austin.
As it has expanded to new cities and been opened to more people, as it was yesterday to iOS users, Tesla has had to tweak some of the minor details of the Robotaxi and ride-hailing platforms it operates.
First Look at Tesla’s Robotaxi App: features, design, and more
With more riders, more vehicles, and more operational jurisdictions, the company has to adjust as things become busier.
Now, it is adjusting the platform by adding “Cleaning Fees” to the Robotaxi platform, but it seems it is only charged if the vehicle requires some additional attention after your ride.
The app will communicate with the rider with the following message (via Not a Tesla App):
“Additional cleaning was required for the vehicle after your trip. A fee has been added to your final cost to cover this service. Please contact us if you have any questions.”
The cost of the cleaning will likely depend on how severe the mess is. If you spill a soda, it will likely cost less than if you lose your lunch in the back of the car because you had a few too many drinks.
This is an expected change, and it seems to be one that is needed, especially considering Tesla is operating a small-scale ride-hailing service at the current time. As it expands to more states and cities and eventually is available everywhere, there will be more situations that will arise.
The messes in vehicles are not a new situation, especially in a rideshare setting. It will be interesting to see if Tesla will enable other fees, like ones for riders who request a ride and do not show up for it.
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Tesla Model Y sold out in China for 2025
Customers who wish to get their cars by the end of the year would likely need to get an inventory unit.
It appears that the Model Y has been sold out for 2025 in China. This seems to be true for the four variants of the vehicle that are currently offered in the country.
Tesla China’s order page update
A look at Tesla China’s order page for the Model Y shows a message informing customers that those who wish to guarantee delivery by the end of the year should purchase an inventory unit. This was despite the Model Y RWD and Model Y L showing an estimated delivery timeline of 4-8 weeks, and the Model Y Long Range RWD and Model Y Long Range AWD showing 4-13 weeks.
As per industry watchers, these updates on the Model Y’s order page suggest that Tesla China’s sales capacity for the remainder of 2025 has been sold out. The fact that estimated delivery timeframes for the Model Y Long Range RWD and AWD extend up to 13 weeks also bodes well for demand for the vehicle, especially given strong rivals like the Xiaomi YU7, which undercuts the Model Y in price.
Tesla China’s upcoming big updates
What is quite interesting is that Tesla China is still competing in the country with one hand partly tied behind its back. So far, Tesla has only been able to secure partial approval for its flagship self-driving software, FSD, in China. This has resulted in V14 not being rolled out to the country yet. Despite this, Tesla China’s “Autopilot automatic assisted driving on urban roads,” as the system is called locally, has earned positive reviews from users.
As per Elon Musk during the 2025 Annual Shareholder Meeting, however, Tesla is expecting to secure full approval for FSD in China in early 2026. “We have partial approval in China, and we hopefully will have full approval in China around February or March or so. That’s what they’ve told us,” Musk said.
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Tesla Full Self-Driving appears to be heading to Europe soon
For years, Musk has said the process for gaining approval in Europe would take significantly more time than it does in the United States. Back in 2019, he predicted it would take six to twelve months to gain approval for Europe, but it has taken much longer.
Tesla Full Self-Driving appears to be heading to Europe soon, especially as the company has continued to expand its testing phases across the continent.
It appears that the effort is getting even bigger, as the company recently posted a job for a Vehicle Operator in Prague, Czech Republic.
This would be the third country the company is seeking a Vehicle Operator in for the European market, joining Germany and Hungary, which already have job postings in Berlin, Prüm, and Budapest, respectively.
🚨Breaking: Tesla is hiring vehicle operators in Prague. pic.twitter.com/CbiJdQLCLj
— Tesla Yoda (@teslayoda) November 19, 2025
This position specifically targets the Engineering and Information Technology departments at Tesla, and not the Robotics and Artificial Intelligence job category that relates to Robotaxi job postings.
Although there has been a posting for Robotaxi Operators in the Eastern Hemisphere, more specifically, Israel, this specific posting has to do with data collection, likely to bolster the company’s position in Europe with FSD.
The job description says:
“We are seeking a highly motivated employee to strengthen our team responsible for vehicle data collection. The Driver/Vehicle Operator position is tasked with capturing high-quality data that contributes to improving our vehicles’ performance. This role requires self-initiative, flexibility, attention to detail, and the ability to work in a dynamic environment.”
It also notes the job is for a fixed term of one year.
The position requires operation of a vehicle for data collection within a defined area, and requires the Vehicle Operator to provide feedback to improve data collection processes, analyze and report collected data, and create daily driving reports.
The posting also solidifies the company’s intention to bring its Full Self-Driving platform to Europe in the coming months, something it has worked tirelessly to achieve as it spars with local regulators.
For years, Musk has said the process for gaining approval in Europe would take significantly more time than it does in the United States. Back in 2019, he predicted it would take six to twelve months to gain approval for Europe, but it has taken much longer.
This year, Musk went on to say that the process of getting FSD to move forward has been “very frustrating,” and said it “hurts the safety of the people of Europe.”
Elon Musk clarifies the holdup with Tesla Full Self-Driving launch in Europe
The latest update Musk gave us was in July, when he said that Tesla was awaiting regulatory approval.
Tesla adds new surprising fee to Robotaxi program
Tesla Model Y sold out in China for 2025
