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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.

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.

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“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.

"I write about technology and the coming zero emissions revolution."

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Tesla Robotaxi fleet gets a brain upgrade ahead of Cybercab launch event

Tesla’s Robotaxi service now runs longer hours nationwide as its unsupervised fleet quietly grows larger.

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Tesla’s Robotaxi service just got easier to catch, with the company’s official Robotaxi account noting that rides are now available from 6 a.m. to 10 p.m., seven days a week, across its operating footprint. The account also said its unsupervised fleet is “a lot bigger” than before, though without specifics. The bigger change is what Tesla says upgraded intelligence in vehicle distribution and routing is what’s actually cutting wait times, not a new Full Self-Driving version.

While Tesla did not name the team behind the upgrade, the language points to its AI and fleet software group rather than the driving stack itself. Vehicle distribution and routing in Robotaxi has functioned mostly as a dispatch problem with the software deciding which idle car goes to which rider, and how far it has to travel to get there. “Upgraded intelligence” suggests a smarter version of that dispatch logic, likely using demand forecasting to position idle cars near where riders are about to request them rather than reacting once a request comes in. Tesla’s AI division has built similar prediction systems for other parts of the business, including the neural networks that power FSD itself, so applying that same approach to fleet logistics would be a natural extension rather than a new discipline for the team.

Tesla is also about a week away from a separate robotaxi milestone. The company plans to launch Cybercab, its purpose built two seat robotaxi with no steering wheel or pedals, in Austin on September 3. Cybercab has been giving employees rides on public and private roads for weeks, and the September event is expected to fold those vehicles into the existing Robotaxi fleet within days of the launch.


Austin previously ran Robotaxi from 6 a.m. to 2 a.m. as of last September, a schedule set before the service expanded into Dallas, Houston, Miami, Tampa, Orlando and the Bay Area. Wednesday’s post did not specify whether that extended overnight window still applies in Austin specifically or whether 6 a.m. to 10 p.m. is now the standard across every market. Tesla’s post, visible on its official Robotaxi account, framed the change simply as fewer riders waiting around for a car.

Whether the wider hours hold once Cybercab enters the fleet next week is the next thing worth watching. Tesla has tended to expand Robotaxi in increments, first geofence, then hours, then fleet size, and each step so far has arrived without much advance notice.

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Tesla Cybertruck AWD is a steal at $60k, is it still at $75k? Full Review

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Tesla Cybertruck’s three configurations are all the same on the outside from an appearance perspective, but they differ slightly in price, range, performance, and other features. After yesterday’s price adjustment, Tesla’s Base All-Wheel-Drive Cybertruck is now priced at $74,990, a far cry from the $59,990 it started at several months ago.

At $60,000, the Cybertruck All-Wheel-Drive is a steal: no pickup, electric or gas-powered, comes close in terms of overall driving capability thanks to Steer-by-Wire; no truck is more fun to drive at that price, and add in Full Self-Driving for $99 per month, and you truly have the best possible pickup on the market, at least if you’re planning to use it for driving.

I unfortunately didn’t have the equipment to test towing and payload and how it impacts the truck.

But at $75,000, is it still worth it? Obviously, the question gets to be more difficult because of the $15,000 difference. But there’s still an argument.

I spent the last week with this awesome truck, and when I took it back, I was sad because it truly is the best Tesla in the lineup. I formerly said the Model S was my favorite Tesla, but after a week with Cybertruck, I can easily say it would be my choice over the now-defunct all-electric sedan.

What makes it so great? Well, a lot of things, and there are some things that I’d like to see change. However, this is a truck that truly has a serious argument for those who are thinking of trying something completely different.

Exterior and Interior

This build comes with 18″ Molten Wheels as the standard offering, but 20″ Core Wheels with 35″ tires are also available. The standard wheel option on this affordable model is not my favorite, but it can be easily swapped for something more attractive.

Overall, this particular build did have some panel gap issues that were especially noticeable between the hood and both front quarter panels. This is obviously not an “across the board” issue, as the Cyberbeast I took home for comparative reasons was significantly better overall.

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The interior is different, with its textile material instead of the vegan leather. Personally, I missed the leather due to the ventilated seats, but I prefer the textile as I personally felt like they were more comfortable. This is something I’d definitely consider if I were between the three trim levels and money was not really an issue.

After 610 miles on Monday in this thing, I did not feel any different than I did when I left my house that morning. It feels like a living room on wheels; after a long drive, you truly do not feel as if you’ve been in a car all day long.

My biggest interior complaints were that I’d like at least two USB-C ports in the front; you are confined to just one, and it’s hidden in the center console. The rear row has two ports. Additionally, the windshield is super difficult to clean, so if you end up buying one of these, save your back and get something that extends.

Driving Performance and Comfort

One of the most surprising things about Cybertruck is the fact that it is perhaps the smoothest ride of any Tesla available. Most believe it might be rough, stiff, and rugged like most trucks, maybe not as forgiving on the back and bottom as you sit in it for an extended period of time.

I’m here to tell you, you won’t regret sitting in a Cybertruck for a long drive.

I put as many people who dislike EVs, don’t like Cybertrucks, or use trucks for work, and judge the Cybertruck in this thing in the past week.  Every single person who got in this truck loved it: they loved the speed, the handling, FSD, the space, the capability, and the feel.

As previously noted, even after hundreds of miles and 14 hours spent driving around Pennsylvania, I didn’t feel tired, exhausted, or in any hurry to come home. I would have driven another 300 miles without question.

Final Thoughts

If I had my choice of the three Cybertruck trims, I think I’d take the All-Wheel-Drive for a few reasons. Initially, the price is more attractive, it is not that stripped of features, and it has everything I need.

Is it worth it at $75,000? I believe it is. I’ve driven trucks that are at a higher price point and consider this to be a better product from a driving and experience perspective. However, other pickups on the market have more towing capacity, payload capacity, and range. They do not have FSD or steer-by-wire, the two things that truly make the Cybertruck in a league of its own.

I can’t think of a time in recent memory that I’ve been this excited to drive a vehicle each day, and I literally look for excuses to drive my Model Y on a daily basis. This Cybertruck just blows the Model Y out of the water in every possible way, at least in my opinion. With the size, performance, and driving experience, there is no better Tesla out there.

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You can check out the full video review below. If you have any questions about the Cybertruck AWD, be sure to reach out and let me know:

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Elon Musk

County vote hands Elon Musk’s Vegas tunnel network a huge new target

Clark County approved 19 more Vegas Loop stations, pushing Boring Company’s entitled total to 123.

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The Boring Company just got permission to nearly double how far Vegas Loop can reach. Clark County commissioners approved 19 additional stations for the underground transit system, bringing the total entitled to 123, the company said in a post on X thanking the county for the vote. Elon Musk’s tunneling company also flagged the direction it sees the project heading long term. “Because Loop is point-to-point with no intermediate stops, in the limit, one could have a Loop station in every driveway,” the company wrote.

That framing captures how far the ambitions have moved. The Vegas Loop opened its first stretch of tunnel in 2021 and has grown its footprint through a string of county approvals since. In 2023, commissioners signed off on 18 additional stations, part of a plan that later doubled the system’s target to 69 stations across 65 miles. By the end of that year the company was describing a build out closer to 93 planned stations. Last year the long term design called for 104 stations across 68 miles of tunnel. The new approval pushes that number to 123, another jump in a project that keeps outgrowing its own blueprints.

The Boring Company gets approval for more stations in Las Vegas

Station count on paper is still well ahead of what riders can actually use. As Teslarati reported earlier this month, the network has about 11 open stations and has carried more than 4 million passengers since it began running, with newer stops at Fontainebleau and Sahara among the latest additions to the Strip corridor. A tunnel connection to Harry Reid International Airport remains under construction and has already slipped past its original first quarter target. The company is also racing to finish a Westgate to Paradise Road segment that Las Vegas Convention and Visitors Authority CEO Steve Hill has said it hopes to have running in time for November’s Formula 1 race.

The gap between entitled stations and operating ones is where the real story sits. Regulatory approval gives Boring Company the legal runway to keep tunneling toward new resorts, residential pockets and eventually the airport, but building each connection still comes down to boring machines, fire safety sign offs and construction timelines that have slipped before. The company’s Prufrock series machines set an internal record in March with a 2.28 mile tunnel near Westgate, evidence that construction has been picking up even as the list of approved destinations grows faster than the tunnels themselves.

Musk’s driveway comment reads as aspirational rather than a near term plan, but it fits how Boring Company has talked about Vegas Loop from the start: treat every approval as a floor, not a ceiling, and keep pushing county officials for room to dig.

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