Waymo offers peek into car test site
Self-driving vehicles gain experience at secluded base in Merced County
Waymo opened its oncesecret test bed for self-driving cars, on a former Air Force Base in Merced County, to journalists on Monday, as its executives touted the miles of experience their vehicles have racked up.
But the company, a subsidiary of Google parent Alphabet, remained coy about when its technology would be ready for the public.
“We’re getting to the point now where it’s really close, (but) I won’t give a specific date,” said Waymo CEO John Krafcik.
Waymo sees several obvious commercial applications for driverless cars, he said, naming ride-hailing, trucking and personal car use, as well as links to mass transit.
“We’re also considering working directly with cities to help them resolve challenging last-mile transportation issues, (getting) people from their homes to existing public transportation,” Krafcik said.
Waymo, whose long-standing work in self-driving cars spurred major carmakers to
take the technology seriously, has been testing its minivans with passengers for eight months in Phoenix. But it also operates a testing facility on 91 acres of the former Castle Air Force Base near Atwater. There, Waymo created a variety of topographies to train its cars, from cul-desacs to railroad crossings. Castle provides a menu of 20,000 structured test scenarios.
“We’re at Castle because we understand that experience is the best teacher,” Krafcik said.
While part of Waymo’s work involves teaching its vehicles to drive, the company is also studying how humans and autonomous cars will interact with each other.
Juliet Rothenberg, product manager of user experience for Waymo, said the switch to autonomous vehicles requires rethinking the basic relationship between people and cars.
“You’d know how to operate a Model T,” she said. “The experience of a fully self-driving car will be fundamentally different. The challenge is to transition people from the paradigm of a driver that’s existed for over a century to being a full-time passenger.”
Approaches include a vehicle console that gives passengers a sense of control over their ride, with buttons to start the ride, request the car pull over, lock or unlock the doors and call tech support. Waymo is also working on a frustration well known to any Uber or Lyft rider: making sure the car can find the passenger, wherever he or she is.
In addition, Waymo’s vehicles show passengers visualizations of their ride to help them feel more comfortable. While robot cars “see” the world in a cloud of data points generated by their sensors, Waymo’s minivans display for passengers a rendering of solid objects identified as pedestrians, cyclists and emergency vehicles. It looks like basic computer animation but can display details as small as orange traffic cones on the road.
Waymo has developed “a whole new visual design language for selfdriving cars to communicate with users,” said Ryan Powell, Waymo’s head of user interface design. That includes onscreen messages about situations such as construction and school zones so passengers will understand why the vehicle is slowing.
Although the company has driven some 3.5 million autonomous miles in 20 different cities, that distance pales in comparison to what Waymo does with virtual training.
“We have the equivalent of a fleet of 25,000 cars driving around every minute of every hour of every day,” said Dmitri Dolgov, vice president of engineering. “Everything we learn in the virtual world we can take and apply to the real world.”
Dolgov emphasized Waymo’s focus on cars that are capable, reliable and safe.
“They have to be able to handle any situation they might encounter on the road, no matter how challenging,” he said. “They have to work not once, not twice, but all the time.”
Toward that end, all the cars’ systems have builtin redundancy, he said, showing a video of engineers cutting the connecting cord to the car’s main computer with scissors, so the backup computer would take over.
The cars have “a deep semantic understanding of the world around us,” Dolgov said.
They can detect and classify all kinds of objects around them, interpret their motion, understand their intent and predict what they’ll do next.
“To understand the road, anticipate and react early – those are key,” he said