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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 offers tasty Supercharging incentive as Q3 push continues

Tesla is offering a tasty Supercharging incentive on inventory Model 3 units in Canada as it continues to push sales in the third quarter.
In the United States, Tesla is preparing for the end of the $7,500 electric vehicle tax credit. While it is offering a multitude of incentives in the U.S. to help push sales of its vehicles before the credit goes away, it is not saving the deals for Americans exclusively.
Yesterday, the company announced it is now offering Free Supercharging for life on all Model 3 inventory in Canada, a massive incentive for those who would use the vehicle as a daily driver:
Unlimited road trips through Canada
Free Supercharging now on all Model 3 inventory 🇨🇦
— Tesla North America (@tesla_na) August 15, 2025
The deal would normally only apply to Superchargers located in Canada, meaning if a Canadian drove over the border into the United States and Supercharged, they would have to pay for it.
However, Tesla also confirmed that the charging deal would extend to the U.S. Canadians will be able to drive across the U.S. and Supercharge for free for the life of the vehicle.
Free Supercharging is such a great perk because the money an owner saves on charging factors directly into what they are saving if they were to own a gas car. While Supercharging and home charging are, on average, cheaper than filling up with gas, the savings are not massive.
When Supercharging is free, it can save consumers hundreds of dollars per month, especially if they plan to use the Tesla for their daily commute. Some people could fill their gas cars up two times a week to get to work, spending $80-$100 every five days on gas.
Tesla has been using incentives like this to push vehicles into customers’ hands. Q3 could be one of the best three-month spans in recent memory with the push it is making.
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Tesla is preparing to take on autonomy’s final boss
India’s city streets are notorious for their complexity and congestion.

If there is any sign that Tesla is now confident about its self-driving program, it would be this. As could be seen on Tesla’s Careers page, the company is now hiring Autopilot Vehicle Operators in Delhi and Mumbai, India.
As far as real-world traffic is concerned, one could argue that India’s city streets are the final boss of autonomous driving systems due to their complexity and congestion.
Tesla job openings
As per Tesla in its recent job openings, Prototype Vehicle Operators will be responsible for driving an engineering vehicle for extended periods and conducting dynamic audio and camera data collection for testing and training purposes. In both its job listings for Mumbai and Delhi, Tesla noted that successful applicants will be gathering real-world data on the weekends and around the clock.
Considering the job openings in India, Tesla seems to be intent on rolling out its advanced driver-assist systems like FSD in the country. This is quite interesting, as Tesla is not hiring Prototype Vehicle Operators in other territories that recently launched, such as the Philippines. Perhaps Tesla intends to tackle FSD’s final boss of sorts before rolling out FSD in other territories.
FSD’s rollout
Tesla’s autonomous driving program uses the company’s Full Self-Driving system, which is currently available on vehicles in North America and China. Tesla, however, has a more advanced version of FSD called Unsupervised FSD, which is currently being used in vehicles that are part of the Robotaxi pilot in Austin and the Bay Area.
Elon Musk has also recently announced on X that Tesla will be releasing FSD V14 in the coming weeks. He also shared a number of improvements that can be expected from FSD V14. “The FSD release in about 6 weeks will be a dramatic gain with a 10X higher parameter count and many other improvements. It’s going through training & testing now. Once we confirm real-world safety of FSD 14, which we think will be amazing, the car will nag you much less,” Musk wrote in his post.
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Tesla Sweden finally makes IF Metall union give up 600-day strike
Tesla and the union have opened the door to resolutions that do not involve a collective agreement.

After nearly two years of industrial action and sympathy strikes, Swedish labor union IF Metall has stated that it is softening its stance in its dispute with Tesla. With this, Tesla and the union have opened the door to resolutions that do not involve a collective agreement.
Union chair Marie Nilsson told Sveriges Radio’s Ekot that while the preferred outcome remains a signed agreement, “other alternative solutions” are now on the table.
Union reconsiders rigid demands
The strike, which began over 600 days ago, has been marked by a series of strategic moves from both sides. IF Metall blocked Tesla’s access to license plates by targeting mail delivery, while Tesla bypassed the restrictions by importing vehicles in bulk through German ferries to Trelleborg, among other strategies.
Despite the high-profile tactics, the number of active strikers has been relatively small, just about 60 in total, as noted in a CarUp report. Tesla Sweden has also maintained that it does not intend to bow down to the union’s demands. Over the 600-day strike, Tesla Sweden has adapted its operations to get around the union and its allies’ strikes.
Possible paths to ultimate resolution
Nilsson, for her part, noted that IF Metall is now willing to explore alternatives, such as embedding industry-standard terms directly into Tesla’s employment contracts or shifting Tesla’s Swedish operations to a company that already has a collective agreement.
“You can do it in different ways. The easiest thing would be to sign a collective agreement. But when that is not possible, we have to find other alternative solutions as well, so we are open to discussion,” Nilsson stated.
IF Metall, if any, has acknowledged that Tesla has already improved working conditions in Sweden since the dispute began. Tesla Sweden has argued that its working conditions are already better than union standards, which is reportedly one of the reasons why very few company employees actually participated in IF Metall’s strike.
“There have been conversations throughout the journey where we compared our conditions. Tesla has adjusted details without going into details, they want to be a good employer, it’s about wages and conditions,” Nilsson stated.
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