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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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Cybertruck

Tesla confirms date when new Cybertruck trim will go up in price

Tesla has officially revealed that this price will only be available until February 28, as the company has placed a banner atop the Design Configurator on its website reflecting this.

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Credit: Tesla

Tesla has confirmed the date when its newest Cybertruck trim level will increase in price, after CEO Elon Musk noted that the All-Wheel-Drive configuration of the all-electric pickup would only be priced at its near-bargain level for ten days.

Last week, Tesla launched the All-Wheel-Drive configuration of the Cybertruck. Priced at $59,990, the Cybertruck featured many excellent features and has seemingly brought some demand to the pickup, which has been underwhelming in terms of sales figures over the past couple of years.

Tesla launches new Cybertruck trim with more features than ever for a low price

When Tesla launched it, many fans and current owners mulled the possibility of ordering it. However,  Musk came out and said just hours after launching the pickup that Tesla would only keep it at the $59,990 price level for ten days.

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What it would be priced at subsequently was totally dependent on how much demand Tesla felt for the new trim level, which is labeled as a “Dual Motor All-Wheel-Drive” configuration.

Tesla has officially revealed that this price will only be available until February 28, as the company has placed a banner atop the Design Configurator on its website reflecting this:

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Many fans and owners have criticized Tesla’s decision to unveil a trim this way, and then price it at something, only to change that price a few days later based on how well it sells.

It seems the most ideal increase in price would be somewhere between $5,000 and $10,000, but it truly depends on how many orders Tesla sees for this new trim level. The next step up in configuration is the Premium All-Wheel-Drive, which is priced at $79,990.

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The difference between the Dual Motor AWD Cybertruck and the Premium AWD configuration comes down to towing, interior quality, and general features. The base package is only capable of towing up to 7,500 pounds, while the Premium can handle 11,000 pounds. Additionally, the seats in the Premium build are Vegan Leather, while the base trim gets the textile seats.

It also has only 7 speakers compared to the 15 that the Premium trim has. Additionally, the base model does not have an adjustable ride height, although it does have a coil spring with an adaptive damping suspension package.

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Tesla set to activate long-awaited Cybertruck feature

Tesla will officially activate the Active Noise Cancellation (ANC) feature on Cybertruck soon, as the company has officially added the feature to its list of features by trim on its website.

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Credit: Tesla

Tesla is set to activate a long-awaited Cybertruck feature, and no matter when you bought your all-electric pickup, it has the hardware capable of achieving what it is designed to do.

Tesla simply has to flip the switch, and it plans to do so in the near future.

Tesla will officially activate the Active Noise Cancellation (ANC) feature on Cybertruck soon, according to Not a Tesla App, as the company has officially added the feature to its list of features by trim on its website.

Tesla rolls out Active Road Noise Reduction for new Model S and Model X

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The ANC feature suddenly appeared on the spec sheet for the Premium All-Wheel-Drive and Cyberbeast trims, which are the two configurations that have been delivered since November 2023.

However, those trims have both had the ANC disabled, and although they are found in the Model S and Model X, and are active in those vehicles, Tesla is planning to activate them.

In Tesla’s Service Toolbox, it wrote:

ANC software is not enabled on Cybertruck even though the hardware is installed.”

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Tesla has utilized an ANC system in the Model S and Model X since 2021. The system uses microphones embedded in the front seat headrests to detect low-frequency road noise entering the cabin. It then generates anti-noise through phase-inverted sound waves to cancel out or reduce that noise, creating quieter zones, particularly around the vehicle’s front occupants.

The Model S and Model X utilize six microphones to achieve this noise cancellation, while the Cybertruck has just four.

Tesla Cybertruck Dual Motor AWD estimated delivery slips to early fall 2026

As previously mentioned, this will be activated through a software update, as the hardware is already available within Cybertruck and can simply be activated at Tesla’s leisure.

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The delays in activating the system are likely due to Tesla Cybertruck’s unique design, which is unlike anything before. In the Model S and Model X, Tesla did not have to do too much, but the Cybertruck has heavier all-terrain tires and potentially issues from the aluminum castings that make up the vehicle’s chassis, which are probably presenting some challenges.

Unfortunately, this feature will not be available on the new Dual Motor All-Wheel-Drive configuration, which was released last week.

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Tesla Model S and X customization options begin to thin as their closure nears

Tesla’s Online Design Studio for both vehicles now shows the first color option to be listed as “Sold Out,” as Lunar Silver is officially no longer available for the Model S or Model X. This color is exclusive to these cars and not available on the Model S or Model X.

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Credit: Tesla

Tesla Model S and Model X customization options are beginning to thin for the first time as the closure of the two “sentimental” vehicles nears.

We are officially seeing the first options disappear as Tesla begins to work toward ending production of the two cars and the options that are available to those vehicles specifically.

Tesla’s Online Design Studio for both vehicles now shows the first color option to be listed as “Sold Out,” as Lunar Silver is officially no longer available for the Model S or Model X. This color is exclusive to these cars and not available on the Model S or Model X.

Tesla is making way for the Optimus humanoid robot project at the Fremont Factory, where the Model S and Model X are produced. The two cars are low-volume models and do not contribute more than a few percent to Tesla’s yearly delivery figures.

With CEO Elon Musk confirming that the Model S and Model X would officially be phased out at the end of the quarter, some of the options are being thinned out.

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This is an expected move considering Tesla’s plans for the two vehicles, as it will make for an easier process of transitioning that portion of the Fremont plant to cater to Optimus manufacturing. Additionally, this is likely one of the least popular colors, and Tesla is choosing to only keep around what it is seeing routine demand for.

During the Q4 Earnings Call in January, Musk confirmed the end of the Model S and Model X:

“It is time to bring the Model S and Model X programs to an end with an honorable discharge. It is time to bring the S/X programs to an end. It’s part of our overall shift to an autonomous future.”

Fremont will now build one million Optimus units per year as production is ramped.

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