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Stanford studies human impact when self-driving car returns control to driver

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Tesla Autopilot in 'Shadow Mode' will pit human vs computer

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.

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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.

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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.

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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.

"I write about technology and the coming zero emissions revolution."

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Tesla Roadster unveiling gets pushed again, but new event details emerge

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Credit: Dan Burkland

Tesla has reportedly pushed the unveiling of the Roadster once again, but there are also evidently new details about the event that the company plans to show off.

The Information reported this morning that Tesla will now unveil, for the second time, the next-generation Roadster in August, a further delay from the multiple timeline that the company had previously stated.

The report has not been confirmed or denied by Tesla at any capacity.

It also states the unveiling event will take place in Texas, the same place that Tesla executives revealed in May would be the place of manufacture for the company’s highly-anticipated supercar, which boasts a top speed of over 250 MPH and 650 miles of range, according to its website.

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Tesla is also expected to showcase the SpaceX package, which will be used for faster acceleration and potentially hovering capabilities, at the unveiling event, the report states. Musk has always planned for this to happen, but now it seems it is more realistic than ever

The Roadster has had its unveiling date and manufacturing date pushed back on many occasions. It was set to start production in 2020, but the COVID-19 pandemic crippled supply chain operations, forcing Tesla to push its timeline back considerably.

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However, COVID has been over for some time, and Tesla has still not managed to successfully schedule and execute an unveiling event, which is something fans and enthusiasts, as well as those who have put down a $50,000 deposit, have been waiting for.

The vehicle was close to completion last year, but Musk truly wanted Lars Moravy and Franz von Holzhausen to push the limits of the Roadster. In July of last year, Moravy said:

“Roadster is definitely in development. We did talk about it last Sunday night. We are gearing up for a super cool demo. It’s going to be mind-blowing; We showed Elon some cool demos last week of the tech we’ve been working on, and he got a little excited.”

It is important to note two things: Tesla has not confirmed these details, and the company has regularly pushed these dates back. Until Tesla sends out formal invitations with a concrete date, taking any unveiling event reports with a grain of salt is a good idea.

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Tesla Model 3 has a tasty Supercharging incentive, but it’s ending soon

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Credit: Tesla

Tesla is offering a tasty Supercharging incentive on certain Model 3 trims, but the company has officially put a concrete end date on it, so those interested should act fast.

Tesla is offering Free Supercharging for One Year on the Model 3 Premium and Performance trims, the top two offerings of the all-electric sedan. There are three trims of the Model 3 that will have the Free Supercharging offer attached:

  • Premium Rear-Wheel-Drive – $42,490
  • Premium All-Wheel-Drive – $47,490
  • Performance – $54,990

Tesla has now announced that this offer will expire on June 15, giving potential buyers about ten days to take advantage of the incentive.

This could be an additional incentive for car buyers to transition to electric vehicles. Many states are showing gas prices well over $4 per gallon, with the national average currently sitting at $4.22, according to AAA.

Tesla Model 3 wins Edmunds’ Best EV of 2026 award

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A free year of Supercharging miles would allow people to charge and travel for free, other than routine maintenance, which is already incredibly cheap compared to a gas car.

At Tesla Superchargers, peak rates, meaning prices between 8 a.m. and 10 p.m., average between $0.45 and $0.60. One year of driving at an average of 12,000 miles would cost between $1,000 and $1,500 at $0.50 per kWh. It’s a pretty good deal.

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Supercharging prices have also increased recently:

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Tesla has used Free Supercharging to move units in the past, and it’s a great strategy for those who plan to use the car for longer commutes, cross-country drives, or do not have reliable access to home charging.

It should be noted that Tesla recommends that Supercharging be used at a minimum to preserve the life of the battery, as fast-charging is more stressful on the cells.

However, some people might not have an option, so the Free Supercharging incentive could truly be a great reason for many people to charge their cars.

The Supercharging incentive is short-term, and it is pretty rare that Tesla utilizes it, so once this offer is gone, we probably will not see it on the Model 3 for some time.

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Ferrari CEO’s self-driving stance echoes Elon Musk’s — sort of

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Credit: Tesla | Ferrari

Ferrari CEO Benedetto Vigna revealed that the Italian automaker’s future will not involve self-driving, a point that echoes that of Tesla CEO Elon Musk’s — sort of.

You might be thinking, “Are you insane? Musk has been so incredibly hellbent on delivering self-driving vehicles to the public, so much so that he has even hinted that Tesla won’t need the ever-popular and widely-requested Model Y L in the U.S.

However, when it comes to electric supercars with high-performance specs and lofty price tags, Vigna’s stance is exactly what Musk wants for Tesla’s own hypercar project, the Tesla Roadster.

In a new interview with Australian media outlet Drive, Vigna made it clear that Ferrari’s ambitions for the future do not involve autonomy, simply because the company’s cars are not designed for anything but manual, spirited driving.

He said:

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“We will not make fully autonomous cars — loud and clear. We want the people to have fun, not the [computer] chips. We want to have a steering wheel and a man or a woman behind the steering wheel. Otherwise, why do you buy a Ferrari?”

This seems to be a reasonable assertion. Ferraris are not made for daily commutes, cross-country road trips, or bumper-to-bumper traffic. They’re made for fast, spirited driving, and many of their buyers will only put a few thousand miles on them throughout their lifetime. True, exciting, fun driving is meant to be done manually.

That is not to say Full Self-Driving or other semi-autonomous suites are not “fun,” but they are meant to take the stress out of driving. They are made for the daily commutes, the rush hour traffic, and the parking lots and garages. It’s made to take the stress out of driving.

Tesla Full Self-Driving attempts 150-mile stress test: the good and the bad

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Musk had stated in an interview in early 2026 that the Roadster would also be geared toward fun, manually-controlled driving. On the Moonshots podcast with Peter Diamandis, Musk said about the Roadster:

“This is not a…safety is not the main goal. If you buy a Ferrari, safety is not the number one goal. I say, if safety is your number one goal, do not buy the Roadster…We’ll aspire not to kill anyone in this car. It’ll be the best of the last of the human-driven cars. The best of the last.”

There are cars out there that simply are meant to be driven by humans, and Ferraris and Roadsters are a few of them. Ferrari has no true advantage in developing self-driving; their cars sell at low volumes with high price tags, and their performance specs and engineering are all geared toward spirited driving.

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