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

Published

9 years ago

December 8, 2016

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.

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.

Related Topics:Autopilot Full Self-Driving

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Tesla begins expanding Robotaxi access: here’s how you can ride

You can ride in a Tesla Robotaxi by heading to its website and filling out the interest form. The company is hand-picking some of those who have done this to gain access to the fleet.

Published

8 hours ago

July 2, 2025

Joey Klender

Credit: @HanChulYong/X

Tesla has begun expanding Robotaxi access beyond the initial small group it offered rides to in late June, as it launched the driverless platform in Austin, Texas.

The small group of people enjoying the Robotaxi ride-hailing service is now growing, as several Austin-area residents are receiving invitations to test out the platform for themselves.

The first rides took place on June 22, and despite a very small number of very manageable and expected hiccups, Tesla Robotaxi was widely successful with its launch.

Tesla Robotaxi riders tout ‘smooth’ experience in first reviews of driverless service launch

However, Tesla is expanding the availability of the ride-hailing service to those living in Austin and its surrounding areas, hoping to gather more data and provide access to those who will utilize it on a daily basis.

Many of the people Tesla initially invited, including us, are not local to the Austin area.

There are a handful of people who are, but Tesla was evidently looking for more stable data collection, as many of those early invitees headed back to where they live.

The first handful of invitations in the second round of the Robotaxi platform’s Early Access Program are heading out to Austin locals:

I just got a @robotaxi invite! Super excited to go try the service out! pic.twitter.com/n9mN35KKFU
— Ethan McKanna (@ethanmckanna) July 1, 2025

Tesla likely saw an influx of data during the first week, as many traveled far and wide to say they were among the first to test the Robotaxi platform.

Now that the first week and a half of testing is over, Tesla is expanding invites to others. Many of those who have been chosen to gain access to the Robotaxi app and the ride-hailing service state that they simply filled out the interest form on the Robotaxi page of Tesla’s website.

That’s the easiest way you will also gain access, so be sure to fill out that form if you have any interest in riding in Robotaxi.

Tesla will continue to utilize data accumulated from these rides to enable more progress, and eventually, it will lead to even more people being able to hail rides from the driverless platform.

With more success, Tesla will start to phase out some of the Safety Monitors and Supervisors it is using to ensure things run smoothly. CEO Elon Musk said Tesla could start increasing the number of Robotaxis to monitors within the next couple of months.

Elon Musk

Tesla analyst issues stern warning to investors: forget Trump-Musk feud

Published

9 hours ago

July 2, 2025

Joey Klender

Credit: Tesla

A Tesla analyst today said that investors should not lose sight of what is truly important in the grand scheme of being a shareholder, and that any near-term drama between CEO Elon Musk and U.S. President Donald Trump should not outshine the progress made by the company.

Gene Munster of Deepwater Management said that Tesla’s progress in autonomy is a much larger influence and a significantly bigger part of the company’s story than any disagreement between political policies.

Munster appeared on CNBC‘s “Closing Bell” yesterday to reiterate this point:

“One thing that is critical for Tesla investors to remember is that what’s going on with the business, with autonomy, the progress that they’re making, albeit early, is much bigger than any feud that is going to happen week-to-week between the President and Elon. So, I understand the reaction, but ultimately, I think that cooler heads will prevail. If they don’t, autonomy is still coming, one way or the other.”

BREAKING: GENE MUNSTER SAYS — $TSLA AUTONOMY IS “MUCH BIGGER” THAN ANY FEUD 👀
He says robotaxis are coming regardless ! pic.twitter.com/ytpPcwUTFy
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— TheSonOfWalkley (@TheSonOfWalkley) July 2, 2025

This is a point that other analysts like Dan Ives of Wedbush and Cathie Wood of ARK Invest also made yesterday.

On two occasions over the past month, Musk and President Trump have gotten involved in a very public disagreement over the “Big Beautiful Bill,” which officially passed through the Senate yesterday and is making its way to the House of Representatives.

Tesla analysts believe Musk and Trump feud will pass

Musk is upset with the spending in the bill, while President Trump continues to reiterate that the Tesla CEO is only frustrated with the removal of an “EV mandate,” which does not exist federally, nor is it something Musk has expressed any frustration with.

In fact, Musk has pushed back against keeping federal subsidies for EVs, as long as gas and oil subsidies are also removed.

Nevertheless, Ives and Wood both said yesterday that they believe the political hardship between Musk and President Trump will pass because both realize the world is a better place with them on the same team.

Munster’s perspective is that, even though Musk’s feud with President Trump could apply near-term pressure to the stock, the company’s progress in autonomy is an indication that, in the long term, Tesla is set up to succeed.

Tesla launched its Robotaxi platform in Austin on June 22 and is expanding access to more members of the public. Austin residents are now reporting that they have been invited to join the program.

Elon Musk

Tesla surges following better-than-expected delivery report

Tesla saw some positive momentum during trading hours as it reported its deliveries for Q2.

Published

10 hours ago

July 2, 2025

Joey Klender

(Credit: Tesla)

Tesla (NASDAQ: TSLA) surged over four percent on Wednesday morning after the company reported better-than-expected deliveries. It was nearly right on consensus estimations, as Wall Street predicted the company would deliver 385,000 cars in Q2.

Tesla reported that it delivered 384,122 vehicles in Q2. Many, including those inside the Tesla community, were anticipating deliveries in the 340,000 to 360,000 range, while Wall Street seemed to get it just right.

Tesla delivers 384,000 vehicles in Q2 2025, deploys 9.6 GWh in energy storage

Despite Tesla meeting consensus estimations, there were real concerns about what the company would report for Q2.

There were reportedly brief pauses in production at Gigafactory Texas during the quarter and the ramp of the new Model Y configuration across the globe were expected to provide headwinds for the EV maker during the quarter.

At noon on the East Coast, Tesla shares were up about 4.5 percent.

It is expected that Tesla will likely equal the number of deliveries it completed in both of the past two years.

It has hovered at the 1.8 million mark since 2023, and it seems it is right on pace to match that once again. Early last year, Tesla said that annual growth would be “notably lower” than expected due to its development of a new vehicle platform, which will enable more affordable models to be offered to the public.

These cars are expected to be unveiled at some point this year, as Tesla said they were “on track” to be produced in the first half of the year. Tesla has yet to unveil these vehicle designs to the public.

Dan Ives of Wedbush said in a note to investors this morning that the company’s rebound in China in June reflects good things to come, especially given the Model Y and its ramp across the world.

He also said that Musk’s commitment to the company and return from politics played a major role in the company’s performance in Q2:

“If Musk continues to lead and remain in the driver’s seat, we believe Tesla is on a path to an accelerated growth path over the coming years with deliveries expected to ramp in the back-half of 2025 following the Model Y refresh cycle.”

Ives maintained his $500 price target and the ‘Outperform’ rating he held on the stock:

“Tesla’s future is in many ways the brightest it’s ever been in our view given autonomous, FSD, robotics, and many other technology innovations now on the horizon with 90% of the valuation being driven by autonomous and robotics over the coming years but Musk needs to focus on driving Tesla and not putting his political views first. We maintain our OUTPERFORM and $500 PT.”

Moving forward, investors will look to see some gradual growth over the next few quarters. At worst, Tesla should look to match 2023 and 2024 full-year delivery figures, which could be beaten if the automaker can offer those affordable models by the end of the year.