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NCSS: Time, Continuity, and Change • Production, Distribution, and Consumption • Science, Technology, and Society

U.S. NEWS

The Long Road Ahead

Experts predicted self-driving cars would be widespread by now. Why aren’t they?

Courtesy of Waymo 

A system of sensors creates a 3-D map of this self-driving car’s surroundings.

As You Read, Think About: What are some pros and cons of self-driving vehicles?

Picture a world full of cars zipping down roads without drivers behind the wheel. You might even catch a ride to school in a vehicle that uses artificial intelligence to steer through the streets.

After Google unveiled its self-driving car prototype in 2014, tech experts predicted that fully functioning autonomous cars were just around the corner. Instead, nearly a decade later, the future of these vehicles remains unclear despite billions of dollars spent on developing the technology.

Researchers did make advances during that time. But self-driving vehicles also resulted in some high-profile injuries and deaths. Experts say it remains to be seen whether they will ever become a common sight on U.S. roads.

“This is one of the biggest technical challenges of our generation,” says Dave Ferguson, an engineer who worked on developing Google’s autonomous car prototype.

Autonomous Driving
Watch a video about how self-driving cars operate and what it is like to ride in one.

Real-World Driving

Part of the appeal of self-driving cars is that they have the potential to be safer than having a human behind the wheel. After all, autonomous cars don’t get drowsy or distracted. Yet public confidence in the vehicles began decreasing in 2018 after one of Uber’s self-driving test cars hit and killed a woman walking a bicycle across a street in Tempe, Arizona. 

Autonomous vehicles use cameras, artificial intelligence, and sensors to detect obstacles in roadways. The technology works fine under many conditions, experts report. But it’s difficult to prepare self-driving cars for the uncertainties of the real world, such as someone crossing the street against traffic or another car making an illegal turn. One research organization estimates that autonomous vehicles will need at least 11 billion miles of road testing before they can match the abilities of a human driver.

“You see all kinds of crazy things on the road,” says Bryan Salesky, CEO of Argo AI, which develops autonomous driving technology. “With radar and high-resolution cameras and all the computing power we have, we can detect and identify the objects on a street. The hard part is anticipating what they’re going to do next.”

GetCruise.com (Taxi, Phone)

Passengers in Phoenix and San Francisco can call for autonomous taxis using apps on their phones.

A Work in Progress

Still, some companies have been able to put their autonomous vehicles into action. In October 2020, Waymo—the self-driving car unit of Google’s parent company, Alphabet—started the world’s first fully autonomous taxi service in the suburbs of Phoenix, Arizona. 

“It’s a little bit jarring knowing that nobody else is in the car,” says Harsha Lakamsani, 21, an Arizona State University student who took a ride in one. “It’s almost like a ghost operating it.” 

Driverless taxis also snake through the streets of San Francisco, California. Waymo and Cruise—the self-driving unit of General Motors—have received permits to operate autonomous fleets there. Both companies plan to expand to more cities. 

But the technology is still a work in progress. Cruise’s taxis, for example, are restricted to roads with speed limits under 30 miles per hour and don’t operate in heavy rain, fog, or snow. 

The future of roads with cars but no drivers may still be years away. Yet that doesn’t mean it’s not coming, experts say. 

“Part of me feels that self-driving is impossible,” says John Leonard, a robotics expert at the Massachusetts Institute of Technology. “But things that I think are impossible are happening today.”

—additional reporting by Cade Metz and Neal E. Boudette of  The New York Times

SKILL SPOTLIGHT: Analyzing a Political Cartoon

Todd Condron/CartoonStock

How does this cartoon use humor to express a point about autonomous cars? How might a street full of cars guided by artificial intelligence look similar to or different than this?

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