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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.
Tesla Full Self-Driving has officially landed in a new country today, its seventh overall after it launched in both Australia and New Zealand earlier this year.
On Sunday, Tesla owners in South Korea reported that the company’s Full Self-Driving (Supervised) had started arriving in their vehicles. Owners reported that it was v14.1.4, which is not the latest version available in other countries, but is one of the most recent releases Tesla has deployed to drivers:
From 6 to 7
Tesla Full Self-Driving has launched in South Korea; the 7th country to have FSD https://t.co/X6gm1SyoxV
— TESLARATI (@Teslarati) November 23, 2025
This marks the seventh country in which Tesla has enabled its Full Self-Driving suite, following the United States and Puerto Rico, Canada, China, Mexico, Australia, and New Zealand.
Tesla launched Full Self-Driving most recently in Australia and New Zealand about three months ago. The expansion is a major breakthrough for the company as it aims to launch Full Self-Driving on a global scale.
However, the company’s biggest challenge thus far has been getting European regulatory agencies to handle the red tape that has inhibited Tesla from launching its semi-autonomous driving suite on the continent. Recently, it admitted that it sees a pathway through Dutch regulatory bodies, which seem to be the most willing to work with Tesla to get FSD in Europe.
Tesla Full Self-Driving appears to be heading to Europe soon
The company said that it has driven over 1 million kilometers safely on European roads across 17 different countries in internal testing. But its path to success will be by “partnering with the Dutch approval authority RDW to gain exemption for the feature. This involves proving compliance with existing regulations (UN-R-171 DCAS) + filing an exemption (EU Article 39) for yet-to-be-regulated behaviors like Level 2 systems off-highway, system-initiated lane changes with hands-off the wheel, etc.”
Perhaps the expansion into Europe will be the biggest challenge for Tesla, but it could also yield major results and advantages for the company moving forward. Tesla said it hopes to have FSD available in Europe sometime early next year.
For now, the expansion in South Korea is the latest win for Tesla and its self-driving efforts. In the U.S., it now turns its focus toward fully autonomous operation, as it works with state agencies to launch Robotaxi outside of Texas, California, and most recently, Arizona.
Tesla CEO Elon Musk teased the insane capabilities of the next major Full Self-Driving update just hours after the company rolled out version 14.2 to owners.
Tesla Full Self-Driving v14.2 had some major improvements from the previous iteration of v14.1.x. We were on v14.1.7, the most advanced configuration of the v14.1 family, before Tesla transitioned us and others to v14.2.
However, Musk has said that the improvements coming in the next major update, which will be v14.3, will be where “the last big piece of the puzzle finally lands.”
14.3 is where the last big piece of the puzzle finally lands
— Elon Musk (@elonmusk) November 21, 2025
There were some major improvements with v14.2, most notably, Tesla seemed to narrow in on the triggers that caused issues with hesitation and brake stabbing in v14.1.x.
One of the most discussed issues with the past rollout was that of brake stabbing, where the vehicle would contemplate proceeding with a route as traffic was coming from other directions.
We experienced it most frequently at intersections, especially four-way stop signs.
Elon Musk hints at when Tesla can fix this FSD complaint with v14
In our review of it yesterday, it was evident that this issue had been resolved, at least to the extent that we had no issues with it in a 62-minute drive, which you can watch here.
Some owners also reported a more relaxed driver monitoring system, which is something Tesla said it was working on as it hopes to allow drivers to text during operation in the coming months. We did not test this, as laws in Pennsylvania prohibit the use of phones at any time due to the new Paul Miller’s Law, which took effect earlier this year.
However, the improvements indicate that Tesla is certainly headed toward a much more sentient FSD experience, so much so that Musk’s language seems to be more indicative of a more relaxed experience in terms of overall supervision from the driver, especially with v14.3.
Musk did not release or discuss a definitive timeline for the release of v14.3, especially as v14.2 just rolled out to Early Access Program (EAP) members yesterday. However, v14.1 rolled out to Tesla owners just a few weeks ago in late 2025. There is the potential that v14.3 could be part of the coming Holiday Update, or potentially in a release of its own before the New Year.
Tesla rolled out Full Self-Driving version 14.2 yesterday to members of the Early Access Program (EAP). Expectations were high, and Tesla surely delivered.
With the rollout of Tesla FSD v14.2, there were major benchmarks for improvement from the v14.1 suite, which spanned across seven improvements. Our final experience with v14.1 was with v14.1.7, and to be honest, things were good, but it felt like there were a handful of regressions from previous iterations.
While there were improvements in brake stabbing and hesitation, we did experience a few small interventions related to navigation and just overall performance. It was nothing major; there were no critical takeovers that required any major publicity, as they were more or less subjective things that I was not particularly comfortable with. Other drivers might have been more relaxed.
With v14.2 hitting our cars yesterday, there were a handful of things we truly noticed in terms of improvement, most notably the lack of brake stabbing and hesitation, a major complaint with v14.1.x.
However, in a 62-minute drive that was fully recorded, there were a lot of positives, and only one true complaint, which was something we haven’t had issues with in the past.
The Good
Lack of Brake Stabbing and Hesitation
Perhaps the most notable and publicized issue with v14.1.x was the presence of brake stabbing and hesitation. Arriving at intersections was particularly nerve-racking on the previous version simply because of this. At four-way stops, the car would not be assertive enough to take its turn, especially when other vehicles at the same intersection would inch forward or start to move.
This was a major problem.
However, there were no instances of this yesterday on our lengthy drive. It was much more assertive when arriving at these types of scenarios, but was also more patient when FSD knew it was not the car’s turn to proceed.
Can report on v14.2 today there were ZERO instances of break stabbing or hesitation at intersections today
It was a significant improvement from v14.1.x
— TESLARATI (@Teslarati) November 21, 2025
This improvement was the most noticeable throughout the drive, along with fixes in overall smoothness.
Speed Profiles Seem to Be More Reasonable
There were a handful of FSD v14 users who felt as if the loss of a Max Speed setting was a negative. However, these complaints will, in our opinion, begin to subside, especially as things have seemed to be refined quite nicely with v14.2.
Freeway driving is where this is especially noticeable. If it’s traveling too slow, just switch to a faster profile. If it’s too fast, switch to a slower profile. However, the speeds seem to be much more defined with each Speed Profile, which is something that I really find to be a huge advantage. Previously, you could tell the difference in speeds, but not in driving styles. At times, Standard felt a lot like Hurry. Now, you can clearly tell the difference between the two.
It seems as if Tesla made a goal that drivers should be able to tell which Speed Profile is active if it was not shown on the screen. With v14.1.x, this was not necessarily something that could be done. With v14.2, if someone tested me on which Speed Profile was being used, I’m fairly certain I could pick each one.
Better Overall Operation
I felt, at times, especially with v14.1.7, there were some jerky movements. Nothing that was super alarming, but there were times when things just felt a little more finicky than others.
v14.2 feels much smoother overall, with really great decision-making, lane changes that feel second nature, and a great speed of travel. It was a very comfortable ride.
The Bad
Parking
It feels as if there was a slight regression in parking quality, as both times v14.2 pulled into parking spots, I would have felt compelled to adjust manually if I were staying at my destinations. For the sake of testing, at my first destination, I arrived, allowed the car to park, and then left. At the tail-end of testing, I walked inside the store that FSD v14.2 drove me to, so I had to adjust the parking manually.
This was pretty disappointing. Apart from parking at Superchargers, which is always flawless, parking performance is something that needs some attention. The release notes for v14.2. state that parking spot selection and parking quality will improve with future versions.
Any issues with parking on your end? 14.1.7 didn’t have this trouble with parking pic.twitter.com/JPLRO2obUj
— TESLARATI (@Teslarati) November 21, 2025
However, this was truly my only complaint about v14.2.
You can check out our full 62-minute ride-along below:
Tesla Full Self-Driving lands in a new country, its 7th
Tesla CEO Elon Musk teases insane capabilities of next major FSD update
