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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.

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“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.

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Tesla rolls out most aggressive Model Y lease deal in the US yet

With the promotion in place, customers would be able to take home a Model Y at a very low cost.

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(Credit: Tesla)

Tesla has rolled out what could very well be its most aggressive promotion for Model Y leases in the United States yet. With the promotion in place, customers would be able to take home a Model Y at a very low cost.

Zero downpayment leases

The new Model Y lease promotion was initially reported on X, with industry watcher Sawyer Merritt stating that while the vehicles’ monthly payments are still similar to before, the cars can now be ordered with a $0 downpayment. 

Tesla community members noted that this promotion would cut the full payment cost of Model Y leases by several thousand dollars, though prices were still a bit better when the $7,500 federal tax credit was still in effect. Despite this, a $0 downpayment would likely be appreciated by customers, as it lowers the entry point to the Tesla ecosystem by a notable margin.

Premium freebies included

Apart from a $0 downpayment, customers of Model Y leases are also provided one free upgrade for their vehicles. These upgrades could be premium paint, such as Pearl White Multi-Coat, Deep Blue Metallic, Diamond Black, Quicksilver or Ultra Red, or 20″ Helix 2.0 Wheels. Customers could also opt for a White Interior or a Tow Hitch free of charge.

A look at Tesla’s Model Y order page shows that the promotion is available for all the Model Y Premium Rear-Wheel Drive and the Model Y Premium All-Wheel Drive. The Model Y Standard and the Model Y Performance are not eligible for the $0 downpayment or free premium upgrade promotion as of writing. 

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@teslarati 🚨 Tesla Full Self-Driving v14.1.7 is here and here’s some things it did extremely well! #tesla #teslafsd #fullselfdriving ♬ You Have It – Marscott
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Tesla is looking to phase out China-made parts at US factories: report

Tesla has reportedly swapped out several China-made components already, aiming to complete the transition within the next two years.

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(Source: Tesla)

Tesla has reportedly started directing its suppliers to eliminate China-made components from vehicles built in the United States. This would make Tesla’s US-produced vehicles even more American-made.

The update was initially reported by The Wall Street Journal.

Accelerating North American sourcing

As per the WSJ report, the shift reportedly came amidst escalating tariff uncertainties between Washington and Beijing. Citing people reportedly familiar with the matter, the publication claimed that Tesla has already swapped out several China-made components, aiming to complete the transition within the next two years. The publication also claimed that Tesla has been reducing its reliance on China-based suppliers since the pandemic disrupted supply chains.

The company has quietly increased North American sourcing over the past two years as tariff concerns have intensified. If accurate, Tesla would likely end up with vehicles that are even more locally sourced than they are today. It would remain to be seen, however, if a change in suppliers for its US-made vehicles would result in price adjustments for cars like the Model 3 and Model Y.

Industry-wide reassessments

Tesla is not alone in reevaluating its dependence on China. Auto executives across the automotive industry have been in rapid-response mode amid shifting trade policies, chip supply anxiety, and concerns over rare-earth materials. Fluctuating tariffs between the United States and China during President Donald Trump’s current term have made pricing strategies quite unpredictable as well, as noted in a Reuters report. 

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General Motors this week issued a similar directive to thousands of suppliers, instructing them to remove China-origin components from their supply chains. The same is true for Stellantis, which also announced earlier this year that it was implementing several strategies to avoid tariffs that were placed by the Trump administration. 

@teslarati 🚨 Tesla Full Self-Driving v14.1.7 is here and here’s some things it did extremely well! #tesla #teslafsd #fullselfdriving ♬ You Have It – Marscott
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Tesla owners propose interesting theory about Apple CarPlay and EV tax credit

“100%. It’s needed for sales because for many prospective buyers, CarPlay is a nonnegotiable must-have. If they knew how good the Tesla UI is, they wouldn’t think they need CarPlay,” one owner said.

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Credit: Tesla Raj/YouTube

Tesla is reportedly bracing for the integration of Apple’s well-known iOS automotive platform, CarPlay, into its vehicles after the company had avoided it for years.

However, now that it’s here, owners are more than clear that they do not want it, and they have their theories about why it’s on its way. Some believe it might have to do with the EV tax credit, or rather, the loss of it.

Owners are more interested in why Tesla is doing this now, especially considering that so many have been outspoken about the fact that they would not use it in favor of the company’s user interface (UI), which is extremely well done.

After Bloomberg reported that Tesla was working on Apple CarPlay integration, the reactions immediately started pouring in. From my perspective, having used both Apple CarPlay in two previous vehicles and going to Tesla’s in-house UI in my Model Y, both platforms definitely have their advantages.

However, Tesla’s UI just works with its vehicles, as it is intuitive and well-engineered for its cars specifically. Apple CarPlay was always good, but it was buggy at times, which could be attributed to the vehicle and not the software, and not as user-friendly, but that is subjective.

Nevertheless, upon the release of Bloomberg’s report, people immediately challenged the need for it:

Some fans proposed an interesting point: What if Tesla is using CarPlay as a counter to losing the $7,500 EV tax credit? Perhaps it is an interesting way to attract customers who have not owned a Tesla before but are more interested in having a vehicle equipped with CarPlay?

“100%. It’s needed for sales because for many prospective buyers, CarPlay is a nonnegotiable must-have. If they knew how good the Tesla UI is, they wouldn’t think they need CarPlay,” one owner said.

Tesla has made a handful of moves to attract people to its cars after losing the tax credit. This could be a small but potentially mighty strategy that will pull some carbuyers to Tesla, especially now that the Apple CarPlay box is checked.

@teslarati :rotating_light: This is why you need to use off-peak rates at Tesla Superchargers! #tesla #evcharging #fyp ♬ Blue Moon – Muspace Lofi

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