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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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Elon Musk’s Boring Company signs deal to begin Dubai Loop project

The project marks the Boring Company’s first tunneling project outside the United States.

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Credit: RTA Dubai

Elon Musk’s Boring Company has signed a definitive agreement with Dubai’s Roads and Transport Authority to begin implementing the Dubai Loop. 

The project marks the Boring Company’s first tunneling project outside the United States.

The Boring Company signs Dubai Loop agreement

The Boring Company signed a partnership agreement with Dubai Roads and Transport Authority on the sidelines of the World Governments Summit 2026 to start the implementation of the Dubai Loop, as per the tunneling startup in a blog post.

The agreement was signed on behalf of Dubai RTA by Mattar Al Tayer, director general and chairman of the Board of Executive Directors, and on behalf of The Boring Company by James Fitzgerald, the startup’s global vice president of business development. Senior officials from both organizations were present at the signing ceremony.

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The Dubai Loop project is intended to improve passenger mobility in high-density urban areas through underground vehicle tunnels designed for faster construction and lower surface disruption than conventional transport systems.

Pilot route and project scope outlined

The first phase of the Dubai Loop will consist of a 4-mile (6.4 km) pilot route with four stations linking the Dubai International Financial Centre and Dubai Mall. The pilot phase is expected to pave the way for a full network extending up to 14 miles (22.5 km) with 19 stations connecting the Dubai World Trade Centre, the financial district, and Business Bay.

The tunnels will have a diameter of 12 feet (3.6 meters) and will be dedicated to vehicle transport. Construction will rely on tunneling methods designed to reduce costs and minimize disruption to existing infrastructure.

The pilot phase is estimated to cost about $154 million, with delivery expected roughly one year after design work and preparatory activities are completed. The full Dubai Loop network is projected to cost approximately $545 million and would take around three years to implement.

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Capacity targets and next steps

Mattar Al Tayer shared his excitement about the project, stating that the Loop system will be a qualitative addition to the city’s transportation system. “The project represents a qualitative addition to Dubai’s transport ecosystem, as it enhances integration between different mobility modes and provides flexible and efficient first- and last-mile solutions. 

“Studies have demonstrated the project’s efficiency in terms of capacity and operating costs, with the pilot route expected to serve around 13,000 passengers per day, while the full route is projected to have a total capacity of approximately 30,000 passengers per day,” he said. 

Steve Davis, president of The Boring Company, highlighted that the partnership aims to deliver safe and efficient tunneling solutions aligned with Dubai’s long-term mobility strategy.

“We are proud to partner with the Roads and Transport Authority, one of the world’s leading entities in adopting innovative solutions in the transport sector. Through this partnership, we look forward to delivering advanced, safe, and highly efficient tunnelling solutions that support Dubai’s vision for sustainable and future mobility,” Davis stated.

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Tesla confirms Full Self-Driving still isn’t garnering interest from lagging competitors

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Credit: Tesla

Tesla executive Sendil Palani confirmed in a post on social media platform X that Full Self-Driving, despite being the most robust driver assistance program in the United States, still isn’t garnering any interest from lagging competitors.

Tesla has said on several occasions in the past that it has had discussions with a competing carmaker to license its Full Self-Driving suite. While it never confirmed which company it was, many pointed toward Ford as the one Tesla was holding dialogue with.

At the time, Ford CEO Jim Farley and Tesla CEO Elon Musk had a very cordial relationship.

Despite Tesla’s confirmation, which occurred during both the Q2 2023 and Q1 2024 Earnings Calls, no deal was ever reached. Whichever “major OEM” Tesla had talked to did not see the benefit. Even now, Tesla has not found that dance partner, despite leading every company in the U.S. in self-driving efforts by a considerable margin.

Elon Musk says Tesla Robotaxi launch will force companies to license Full Self-Driving

Palani seemed to confirm that Tesla still has not found any company that is remotely interested in licensing FSD, as he said on X that “despite our best efforts to share the technology,” the company has found that it “has not been proven to be easy.”

The question came just after one Tesla fan on X asked whether Tesla would continue manufacturing vehicles.

Because Tesla continues to expand its lineup of Model Y, it has plans to build the Cybercab, and there is still an immediate need for passenger vehicles, there is no question that the company plans to continue scaling its production.

However, Palani’s response is interesting, especially considering that it was in response to the question of whether Tesla would keep building cars.

Perhaps if Tesla could license Full Self-Driving to enough companies for the right price, it could simply sell the suite to car companies that are building vehicles, eliminating the need for Tesla to build its own.

While it seems like a reach because of Tesla’s considerable fan base, which is one of the most loyal in the automotive industry, the company could eventually bail on manufacturing and gain an incredible valuation by simply unlocking self-driving for other manufacturers.

The big question regarding why Tesla can’t find another company to license FSD is simply, “Why?”

Do they think they can solve it themselves? Do they not find FSD as valuable or effective? Many of these same companies didn’t bat an eye when Tesla started developing EVs, only to find themselves years behind. This could be a continuing trend.

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Tesla exec pleads for federal framework of autonomy to U.S. Senate Committee

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Credit: Tesla

Tesla executive Lars Moravy appeared today in front of the U.S. Senate Commerce Committee to highlight the importance of modernizing autonomy standards by establishing a federal framework that would reward innovation and keep the country on pace with foreign rivals.

Moravy, who is Tesla’s Vice President of Vehicle Engineering, strongly advocated for Congress to enact a national framework for autonomous vehicle development and deployment, replacing the current patchwork of state-by-state rules.

These rules have slowed progress and kept companies fighting tooth-and-nail with local legislators to operate self-driving projects in controlled areas.

Tesla already has a complete Robotaxi model, and it doesn’t depend on passenger count

Moravy said the new federal framework was essential for the U.S. to “maintain its position in global technological development and grow its advanced manufacturing capabilities.

He also said in a warning to the committee that outdated regulations and approval processes would “inhibit the industry’s ability to innovate,” which could potentially lead to falling behind China.

Being part of the company leading the charge in terms of autonomous vehicle development in the U.S., Moravy highlighted Tesla’s prowess through the development of the Full Self-Driving platform. Tesla vehicles with FSD engaged average 5.1 million miles before a major collision, which outpaces that of the human driver average of roughly 699,000 miles.

Moravy also highlighted the widely cited NHTSA statistic that states that roughly 94 percent of crashes stem from human error, positioning autonomous vehicles as a path to dramatically reduce fatalities and injuries.

Skeptics sometimes point to cybersecurity concerns within self-driving vehicles, which was something that was highlighted during the Senate Commerce Committee hearing, but Moravy said, “No one has ever been able to take over control of our vehicles.”

This level of security is thanks to a core-embedded central layer, which is inaccessible from external connections. Additionally, Tesla utilizes a dual cryptographic signature from two separate individuals, keeping security high.

Moravy also dove into Tesla’s commitment to inclusive mobility by stating, “We are committed with our future products and Robotaxis to provide accessible transportation to everyone.” This has been a major point of optimism for AVs because it could help the disabled, physically incapable, the elderly, and the blind have consistent transportation.

Overall, Moravy’s testimony blended urgency about geopolitical competition, especially China, with concrete safety statistics and a vision of the advantages autonomy could bring for everyone, not only in the U.S., but around the world, as well.

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