This website uses cookies primarily for visitor analytics. Certain pages will ask you to fill in contact details to receive additional information. On these pages you have the option of having the site log your details for future visits. Indicating you want the site to remember your details will place a cookie on your device. To view our full cookie policy, please click here. You can also view it at any time by going to our Contact Us page.

Ford conducts industry-first snow tests of autonomous vehicles

12 January 2016

Ford is conducting the industry’s first autonomous vehicle tests in snow – an important step in the company’s plan to bring fully autonomous vehicles to market.

Ford Motor Company is conducting the industry's first autonomous vehicle tests in snow-covered environments (photo: Business Wire)

“It’s one thing for a car to drive itself in perfect weather,” says Jim McBride, Ford technical leader for autonomous vehicles. “It’s quite another to do so when the car’s sensors can’t see the road because it’s covered in snow. Weather isn’t perfect, and that’s why we’re testing autonomous vehicles in wintry conditions – for the roughly 70 percent of US residents who live in snowy regions.”

Ford’s winter weather testing takes place in Michigan, including at 'Mcity' – a 32-acre, full-scale simulated real-world urban environment at the University of Michigan.

Fully autonomous driving can’t rely on GPS, which is accurate only to several yards – not enough to localise or identify the position of the vehicle. And it’s key that an autonomous vehicle knows its precise location, not just within a city or on a road, but in its actual driving lane – a variation of a few inches makes a big difference.

LiDAR, on the other hand, is much more accurate than GPS – identifying the Fusion Hybrid’s lane location to centimetre accuracy. LiDAR emits short pulses of laser light to precisely allow the vehicle to create a real-time, high-definition 3D image of what’s around it.

In ideal weather, LiDAR is considered to be the most efficient means of gathering important information and metadata – underlying information about the data itself – from the surrounding environment, sensing nearby objects and using cues to determine the best driving path. But on snow-covered roads or in high-density traffic, LiDAR and other sensors such as cameras can’t see the road. This is also the case when the sensor lens is covered by snow, grime or debris.

Taking up this challenge, Ford and University of Michigan technologists began collaborating toward a solution that would allow an autonomous vehicle to see on a snow-covered road.

To navigate snowy roads, Ford autonomous vehicles are equipped with high-resolution 3D maps – complete with information about the road and what’s above it, including road markings, signs, geography, landmarks and topography.

“Maps developed by other companies don’t always work in snow-covered landscapes,” says Ryan Eustice, an associate professor at the University of Michigan college of engineering. “The maps we created with Ford contain useful information about the 3D environment around the car, allowing the vehicle to localise even with a blanket of snow covering the ground.”

An autonomous vehicle creates the maps while driving the test environment in favourable weather, with technologies automatically annotating features like traffic signs, trees and buildings. When the vehicle can’t see the ground, it detects above-ground landmarks to pinpoint itself on the map, and then subsequently uses the map to drive successfully in inclement conditions.

“The vehicle’s normal safety systems, like electronic stability control and traction control, which often are used on slippery winter roads, work in unison with the autonomous driving software,” says McBride. “We eventually want our autonomous vehicles to detect deteriorating conditions, decide whether it’s safe to keep driving, and if so, for how long.”


Print this page | E-mail this page