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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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Steve Hanley

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Elon Musk

Tesla board reveals reasoning for CEO Elon Musk’s new $1 trillion pay package

“Yes, you read that correctly: in 2018, Elon had to grow Tesla by billions; in 2025, he has to grow Tesla by trillions — to be exact, he must create nearly $7.5 trillion in value for shareholders for him to receive the full award.”

Published

10 hours ago

September 5, 2025

Joey Klender

(Credit: Tesla)

Tesla’s Board of Directors has proposed a new pay package for company CEO Elon Musk that would result in $1 trillion in stock offerings if he is able to meet several lofty performance targets.

Musk, who has not been meaningfully compensated since 2017, completed his last pay package by delivering billions in shareholder value through a variety of performance-based “tranches,” which were met and resulted in the award of billions in stock.

Elon Musk’s new pay plan ties trillionaire status to Tesla’s $8.5 trillion valuation

However, Musk was unable to claim this award due to a ruling by the Delaware Chancery Court, which deemed the payout an “unfathomable sum.”

Now, the company is taking steps to ensure Musk gets paid, as the Board feels that it is crucial to retain its CEO, who has been responsible for much of the company’s success.

This is not a statement to undermine the work of all of Tesla’s terrific employees, but a ship needs to be captained by someone, and Musk has proven he is the right person for the job.

The Board also believes that, based on a statement made by the company in its proxy, various issues will be discussed during the upcoming Shareholder Meeting.

Robyn Denholm and Kathleen Wilson-Thompson recognized Musk’s contributions in a statement, which encouraged shareholders to vote to approve the payout:

“We’re asking you to approve the 2025 CEO Performance Award. In designing the new performance award, we explored numerous alternatives. Ultimately, the new award aims to build upon the success of the 2018 CEO Performance Award framework, which ensure that Elon was only paid for the performance delivered and incentivized to guide Tesla through a period of meteoric growth. The 2025 CEO Performance Award similarly challegnes Elon to again meet a series of even more aspirational goals, including operational milestones focused on reaching Adjusted EBITDA targets (thresholds that are up to 28 times higher than the 2108 CEO Performance Award’s top Adjusted EBITDA milestone) and rolling out new or expanded product offerings (including 1 million Robotaxis in commercial operation and delivery of 1 million AI Bots), all while growing the company’s market capitalization by trillions of dollars.

Yes, you read that correctly: in 2018, Elon had to grow Tesla by billions; in 2025, he has to grow Tesla by trillions — to be exact, he must create nearly $7.5 trillion in value for shareholders for him to receive the full award.

In addition to these unprecedented performance milestones, the 2025 CEO Performance Award also includes innovative structural features, born out of the special committee’s considered analysis and extensive shareholder feedback. These features include supercharged retention (at least seven and a half years and up to 10 years to vest in the full award), structural protections to minimize stock price volatility due to administration of this award and, thereafter, incentives for Elon to participate in the Board’s continued development of a framework for long-term CEO Succession. If Elon achieves all the performance milestones under this principle-based 2025 CEO Performance Award, his leadership will propel Tesla to become the most valuable company in history.”

Musk will have a lot of things to accomplish to receive the 423,743,904 shares, which are divided into 12 tranches.

However, the Board feels he is the right person for the job, and they want him to remain the CEO. This package should ensure that he stays with Tesla, as long as shareholders feel the same way.

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Tesla Robotaxi app download rate demolishes Uber, Waymo all-time highs

After two and a half months of testing with a group of hand-picked Tesla influencers and some media, the company has officially launched Robotaxi rides in both Austin, Texas, and the California Bay Area to the public.

Published

12 hours ago

September 5, 2025

Joey Klender

Credit: @BLKMDL3 | X

Tesla launched its Robotaxi app to the general public yesterday, and the number of downloads is a testament to the platform’s high demand for testing.

Tesla Robotaxi makes major expansion with official public app launch

Downloading the app is available to iOS users, so if you have an iPhone, you can get it and join the waitlist. Tesla has not yet launched the Robotaxi app for the Android platform, but did hint that it would be coming soon.

The testing phase with the group Tesla selected has gone well. In Austin, the City has only listed one “Safety Concern” with Robotaxi during the testing phase. For the most part, things have gone extremely well, and riders have had good things to say.

Tesla is still operating with some safeguards in place, such as Safety Monitors and Safety Drivers, but these are precautionary and temporary; CEO Elon Musk has said they should be removed by the end of the year.

Elon Musk says Tesla will take Safety Drivers out of Robotaxi: here’s when

Even still, Tesla Robotaxi is something that many people want to experience, and the app downloads prove it.

The Tesla Robotaxi app was downloaded at a rate that exceeded all rolling 30-day periods of both Uber and Waymo, according to Brett Winton of ARK Invest. Tesla’s Robotaxi’s first day on the App Store exceeded Uber’s by 40 percent and Waymo’s best download day ever by six times:

Today’s Tesla Robotaxi App downloads outpaced Uber across all rolling 30 day periods by 40% and bested Waymo’s best download day ever by >6x pic.twitter.com/s9s1XTsUu2
— Brett Winton (@wintonARK) September 5, 2025
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The surge in downloads is a good indication of how in demand the Robotaxi suite was, as many people within the community had vocalized their requests to try the platform, but Tesla was not ready to expand it beyond its handpicked group.

The expansion of the program will result in more rides, provided Tesla continues to expand its fleet of vehicles. It has already admitted many of those who were initially placed on the waitlist.

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Elon Musk’s xAI expands to Seattle with salaries up to $440,000

The move was announced by the artificial intelligence startup and Elon Musk on social media platform X.

Published

13 hours ago

September 5, 2025

Simon Alvarez

(Credit: xAI)

Elon Musk’s artificial intelligence startup xAI is opening a new office in Seattle as it accelerates its global expansion.

The move was announced by the artificial intelligence startup and Elon Musk on social media platform X. xAI is also hiring for its first positions in the new site.

New Seattle office

As could be seen on xAI’s Careers webpage, the Seattle office is currently hiring for three engineering roles. Each of the three technical roles tied to the new site carry salaries ranging from $180,000 to $440,000.

The new office adds to xAI’s growing presence, which now spans San Francisco, Austin, London, Dublin, New York, and Memphis. The Seattle-based roles focus on video and image generation systems, signaling Musk’s intent to challenge rivals like OpenAI and Meta in generative AI.

xAI Seattle office opening https://t.co/15cniHGwWH— Elon Musk (@elonmusk) September 5, 2025

Pressures and challenges

Seattle also places xAI within reach of Microsoft’s headquarters in Redmond. Microsoft has emerged as a central player in the AI race through its multibillion-dollar partnership with OpenAI, making xAI’s move into the region notable. The competition for AI specialists has pushed salaries higher across the industry, with filings showing OpenAI staff earning up to $530,000 and Anthropic engineers as much as $690,000 annually, as noted by Insider.

The startup has also seen some high-profile departures in recent months, including cofounder Igor Babuschkin and general counsel Robert Keele. Still, xAI continues to grow aggressively, and its Grok large language model has been gaining momentum among mainstream users. Work also continues to be underway to further build out the company’s Colossus supercomputer cluster. Reports have also suggested that xAI has moved into San Francisco offices in the Mission District, a site Musk initially leased during OpenAI’s early years.