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June 24, 2018

Ford, U-M testing autonomous cars in snow at Mcity

January 11, 2016

Ford, U-M testing autonomous cars in snow at Mcity

Typical autonomous vehicle sensors are useless on snow-covered roads, but researchers at U-M and Ford are collaborating on a solution.

In Michigan and on U-M's 32-acre Mcity simulated urban environment, they have conducted what they believe are the industry's first tests of autonomous vehicles in wintry conditions.

Ford announced the tests Monday at the North American International Auto Show. Edwin Olson, associate professor of computer science and engineering, and Ryan Eustice, aassociate professor of naval architecture and marine engineering, and electrical engineering and computer science, are the U-M researchers leading this effort with Ford.

"It's one thing for a car to drive itself in perfect weather. It's quite another to do the same thing when its sensors cannot sense the road through snow, or when visibility is limited by falling precipitation," said Jim McBride, Ford's technical leader for autonomous vehicles, in a statement from Ford. "In Ford's home state of Michigan, we know weather isn't always perfect. That's why we're conducting testing — for the roughly 70 percent of U.S. residents who live in snowy regions."


Under sunny skies, Ford's testbed autonomous Fusion Hybrid sedans rely on LiDAR sensors that can pinpoint lane location with centimeter accuracy. LiDAR emits short pulses of laser light to precisely allow the vehicle to create a real-time, high-definition 3-D image of what's around it.

However, LiDAR cannot see the road when snow obstructs it from view — like during inclement weather or in high-density traffic, according to a Ford statement. The same is true when the sensor lens is covered by snow, grime or debris.

The solution Ford and U-M are working on involves high-resolution 3-D maps — complete with information about the road and what's above it, including road markings, signs, geography, landmarks and topography. U-M researchers have developed these maps and Ford's test vehicles are equipped with them.

"Maps developed by other companies don't always work in snow-covered landscapes. The ones developed by Ford and the University of Michigan do," Eustice said. "The maps we create contain useful information about the 3-D environment around the car, allowing it to localize even with a blanket of snow covering the ground."


"The vehicle's normal safety systems, like electronic stability control and traction control, which often are used on slippery winter roads, worked perfectly alongside the autonomous driving software," McBride said. "We eventually want our autonomous vehicles to detect deteriorating conditions, decide whether it's safe to keep driving, and if so, for how long."

"It's exciting to take these first steps toward autonomous cars that work in foul weather," Olson said. "This achievement is a superb example of what U-M and Ford can achieve by working together."


Teresa Gorowski
on 1/12/16 at 7:38 am

I am curious to know if these cars can detect when a police car or ambulance siren and lights are close in proximity so it is aware that it needs to pull off to the side of the road to get out of the way. There are so many vehicles with beeping sounds and/or flashing lights like dump and plow trucks to distinguish from on the road which a human can easily do if their paying attention.


Tonya Thomas
on 1/14/16 at 8:45 am

Excellent point. This would be ideal also in the to oft situations where folks distracted with their blaring music and other things completely ignore these emergency vehicle notifications, perhaps not seeing or hearing them at all!

sarah garcia
on 1/20/16 at 11:59 am

I'm wondering if, in conditions bad enough, the car would simply not allow itself to be driven.
