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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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Armored Tesla Cybertruck “War Machine” debuts at Defense Expo 2025
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Tesla Megapacks chosen for 548 MWh energy storage project in Japan
Tesla plans to supply over 100 Megapack units to support a large stationary storage project in Japan, making it one of the country’s largest energy storage facilities.
Tesla’s Megapack grid-scale batteries have been selected to back an energy storage project in Japan, coming as the latest of the company’s continued deployment of the hardware.
As detailed in a report from Nikkei this week, Tesla plans to supply 142 Megapack units to support a 548 MWh storage project in Japan, set to become one of the country’s largest energy storage facilities. The project is being overseen by financial firm Orix, and it will be located at a facility Maibara in central Japan’s Shiga prefecture, and it aims to come online in early 2027.
The deal is just the latest of several Megapack deployments over the past few years, as the company continues to ramp production of the units. Tesla currently produces the Megapack at a facility in Lathrop, California, though the company also recently completed construction on its second so-called “Megafactory” in Shanghai China and is expected to begin production in the coming weeks.
READ MORE ON TESLA MEGAPACKS: Tesla Megapacks help power battery supplier Panasonic’s Kyoto test site
Tesla’s production of the Megapack has been ramping up at the Lathrop facility since initially opening in 2022, and both this site and the Shanghai Megafactory are aiming to eventually reach a volume production of 10,000 Megapack units per year. The company surpassed its 10,000th Megapack unit produced at Lathrop in November.
During Tesla’s Q4 earnings call last week, CEO Elon Musk also said that the company is looking to construct a third Megafactory, though he did not disclose where.
Last year, Tesla Energy also had record deployments of its Megapack and Powerwall home batteries with a total of 31.4 GWh of energy products deployed for a 114-percent increase from 2023.
Other recently deployed or announced Megapack projects include a massive 600 MW/1,600 MWh facility in Melbourne, a 75 MW/300 MWh energy storage site in Belgium, and a 228 MW/912 MWh storage project in Chile, along with many others still.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Tesla highlights the Megapack site replacing Hawaii’s last coal plant
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Elon Musk responds to Ontario canceling $100M Starlink deal amid tariff drama
Ontario Premier Doug Ford said, opens new tab on February 3 that he was “ripping up” his province’s CA$100 million agreement with Starlink in response to the U.S. imposing tariffs on Canadian goods.
Elon Musk company SpaceX is set to lose a $100 million deal with the Canadian province of Ontario following a response to the Trump administration’s decision to apply 25 percent tariffs to the country.
Starlink, a satellite-based internet service launched by the Musk entity SpaceX, will lose a $100 million deal it had with Ontario, Premier Doug Ford announced today.
Starting today and until U.S. tariffs are removed, Ontario is banning American companies from provincial contracts.
Every year, the Ontario government and its agencies spend $30 billion on procurement, alongside our $200 billion plan to build Ontario. U.S.-based businesses will…
— Doug Ford (@fordnation) February 3, 2025
Ford said on X today that Ontario is banning American companies from provincial contracts:
“We’ll be ripping up the province’s contract with Starlink. Ontario won’t do business with people hellbent on destroying our economy. Canada didn’t start this fight with the U.S., but you better believe we’re ready to win it.”
It is a blow to the citizens of the province more than anything, as the Starlink internet constellation has provided people in rural areas across the globe stable and reliable access for several years.
Musk responded in simple terms, stating, “Oh well.”
Oh well https://t.co/1jpMu55T6s
— Elon Musk (@elonmusk) February 3, 2025
It seems Musk is less than enthused about the fact that Starlink is being eliminated from the province, but it does not seem like all that big of a blow either.
As previously mentioned, this impacts citizens more than Starlink itself, which has established itself as a main player in reliable internet access. Starlink has signed several contracts with various airlines and maritime companies.
It is also expanding to new territories across the globe on an almost daily basis.
With Mexico already working to avoid the tariff situation with the United States, it will be interesting to see if Canada does the same.
The two have shared a pleasant relationship, but President Trump is putting his foot down in terms of what comes across the border, which could impact Americans in the short term.
Armored Tesla Cybertruck “War Machine” debuts at Defense Expo 2025
Tesla Megapacks chosen for 548 MWh energy storage project in Japan
