News
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.
News
Tesla shows off mysterious vehicle at Giga Texas
The mysterious structure, partially unboxed amid construction materials, has sparked widespread speculation among Tesla enthusiasts and analysts. Many are convinced it is the long-rumored Model Y L, the extended-wheelbase variant already popular in China, now arriving in Texas for potential U.S. production.
Tesla seemingly showed off a mysterious vehicle at Giga Texas, one that seems to be completely different than anything the company currently makes for the U.S. market.
The vehicle, which was spotted on the plant’s property, appears to be similar to the Model Y L that has not yet launched in North America, and is currently built at Gigafactory Shanghai in China.
Drone pilot Joe Tegtmeyer captured intriguing footage at Tesla’s Giga Texas on March 23, 2026, revealing what appears to be a large, blue plastic-wrapped vehicle body resting inside a wooden shipping crate outdoors.
Well this is interesting at Giga Texas today … what do YOU think this is? 🤔😎 pic.twitter.com/U9pLvqbf7L
— Joe Tegtmeyer 🚀 🤠🛸😎 (@JoeTegtmeyer) March 23, 2026
The mysterious structure, partially unboxed amid construction materials, has sparked widespread speculation among Tesla enthusiasts and analysts. Many are convinced it is the long-rumored Model Y L, the extended-wheelbase variant already popular in China, now arriving in Texas for potential U.S. production.
The images show an elongated silhouette that stands out from standard Model Y bodies. Side-by-side comparisons shared in replies to Tegtmeyer’s post highlight key differences: the rear door extends farther over the wheel arch than on a regular Model Y, and the rear glass appears to run all the way to the spoiler lip without the metal trim seen on shorter versions.
One overlay analysis noted that the visible proportions align precisely with the Chinese-market Model Y L, which measures approximately 4.98 meters long with a 3.04-meter wheelbase, which is about seven inches longer overall than the standard Model Y sold in the U.S.
Model Y L, with a support structure on top, likely for shipping. pic.twitter.com/ET3w46DjpJ
— Owen Sparks (@OwenSparks) March 23, 2026
The vehicle is a bare “body-in-white” shell, typical of prototypes sent abroad for tooling validation and local manufacturing ramp-up. Tesla has already launched the six- and seven-seat Model Y L in China and other markets, where it offers roughly 10% more cargo space and greater family-friendly versatility.
This sighting fits Tesla’s broader strategy. Industry observers expect the company to localize Model Y L production at Giga Texas by mid-2026 to serve American families seeking extra room without stepping up to the larger Cybertruck or a future full-size SUV.
Bringing the design stateside could add tens of thousands of annual deliveries while leveraging existing Model Y lines. People have been adamant that they want the Model Y L in the U.S., especially as Tesla plans to fade the Model X, the company’s most ideal vehicle for large families, out of production in the near future.
Tesla Model Y lineup expansion signals an uncomfortable reality for consumers
While Tesla has made no official comment, the timing, amid Giga Texas expansion and steady Model Y output, suggests the mysterious crate is more than a random prototype.
If confirmed as the Model Y L, it marks another step in Tesla’s effort to refresh its bestselling SUV for global demand. The vehicle would perform exceptionally well in the U.S., and despite the company’s rather mute stance on bringing it to America, this might be the biggest hint to date that it could be on the way.
Cybertruck
Tesla Cybertruck just won a rare and elusive crash safety honor
Only the most outstanding of performances in crash tests can warrant an IIHS Top Safety Pick+ award, as vehicles listed with that ranking must achieve “Good” ratings in the small overlap front, updated side, and updated moderate overlap front tests, along with “Acceptable” or “Good” headlights standard on all trims.
Tesla Cybertruck landed a rare and elusive safety honor from the Insurance Institute for Highway Safety (IIHS). It was the only pickup truck in the U.S. market to do so.
The IIHS rewarded the Cybertruck with the Top Safety Pick+ honors, the highest marks a vehicle can receive from the agency.
Only the most outstanding of performances in crash tests can warrant an IIHS Top Safety Pick+ award, as vehicles listed with that ranking must achieve “Good” ratings in the small overlap front, updated side, and updated moderate overlap front tests, along with “Acceptable” or “Good” headlights standard on all trims.
🚨 Absolutely insane.
Tesla Cybertruck was the ONLY pickup on the market to be awarded a Top Safety Pick+ rating by the IIHS
The safest rating out there belongs to Cybertruck 📐 pic.twitter.com/Y8gLOqaL0d
— TESLARATI (@Teslarati) March 24, 2026
Cybertruck was the only truck to also win an NHTSA Five-Star Safety rating, making it the only pickup available on the market to be recognized with top marks from both agencies.
There are a multitude of options for pickups in the U.S. market, as it is one of the most popular vehicle types for consumers in the country. Pickups are great vehicles for anyone who does any sort of hauling or is just looking for extra space for any variety of reasons.
Pickups are also inherently safer than other body types on the road, mostly because they are larger and heavier, making them more favorable against other vehicle types in the event of a collision. However, Tesla has a significant advantage in safety with its vehicles because it engineers them to not only be safer in collisions, but also easier to repair.
The Cybertruck managed to achieve “Good” ratings, the highest marks available by the IIHS, in all three Crashworthiness categories, as well as “Good” ratings in both Crash Avoidance and Mitigation assessments.
It also received “Good” ratings across all driver and pedestrian crash-test performance metrics, except for one, where it earned an “Acceptable” rating for rear passengers in the Chest category.
The Cybertruck’s outstanding crash test performance has won it this incredible mark as the pickup still tends to be one of the more polarizing vehicle designs on the market.
It is no secret that Tesla has struggled with demand of the Cybertruck due to pricing, but the recent rollout of a trim that was temporarily priced at just $59,990 showed plenty of people want the all-electric pickup.
Elon Musk
Elon Musk’s Boring Co. Tunnel Vision Challenge ends with a surprise for Louisiana, Maryland and Dallas
The Boring Company stunned three cities today, awarding New Orleans, Baltimore, and Dallas free underground Loop tunnels.
Elon Musk’s The Boring Company (TBC) announced today that it is building free underground Loop tunnels in three American cities: New Orleans, Louisiana; Baltimore, Maryland; and Dallas, Texas. The company had promised one winner when it launched the Tunnel Vision Challenge in January. After receiving 487 submissions, it selected three, committing to fund and construct all of them pending a feasibility review, entirely at its own expense. For a company that has faced years of skepticism over the gap between its promises and its delivered projects, choosing to expand its commitment rather than narrow it is a notable shift in both scale and accountability.
All three projects will now enter a rigorous, fully funded diligence phase that includes meetings with elected officials, regulators, community and business leaders, geotechnical borings, and a complete investigation of subsurface utilities and infrastructure. TBC confirmed that all costs associated with this diligence process are 100% funded by the company. If all three projects pass feasibility, all three get built. If only one clears the bar, that one gets built. The company’s willingness to fund the due diligence regardless of outcome removes one of the most common early-stage barriers that kills promising infrastructure proposals before they leave a spreadsheet.
Beyond the three winners, TBC announced it will continue working with two additional entrants it found compelling enough to pursue independently: the Hendersonville Utility Tunnel in Hendersonville, Tennessee, and the Morgan’s Wonderland Tunnel in San Antonio, Texas, which would notably serve one of the nation’s premier theme parks built specifically for guests with special needs.
The challenge also coincides with TBC’s most active construction period to date. The company recently began drilling on the Music City Loop near the Tennessee State Capitol in Nashville, and in February it broke ground on a Loop in Dubai. Musk has long argued that the fundamental problem with urban infrastructure is cost and bureaucratic inertia, not engineering. “The key to solving traffic is making going 3D either up or down,” he said in 2018, a conviction now reflected in a company structure built to absorb the financial risk that typically stalls public projects for years.
Music City Loop could highlight The Boring Company’s real disruption
The Tunnel Vision Challenge’s most underappreciated element may be what it produced beyond three winners. Submissions came from individuals, companies, and governments across states including Alaska, Arkansas, Colorado, Kansas, Louisiana, Maryland, New York, and Texas, as well as from international entrants. Musk captured the underlying logic years ago when he said, “Traffic is driving me nuts. I’m going to build a tunnel boring machine and just start digging.” Today, three American cities are counting on exactly that.
Tunnel Vision Challenge results!
We’ve been overwhelmed with the amazing submissions…so we are announcing three winners!
The Thrilling Three are:
– NOLA Loop (New Orleans, LA)
– Ravens Loop (Baltimore, MD)
– University Hills Loop (Dallas, TX)What happens next? TBC and the… https://t.co/cY2ULftfiK
— The Boring Company (@boringcompany) March 24, 2026
Tesla shows off mysterious vehicle at Giga Texas
Tesla Cybertruck just won a rare and elusive crash safety honor
