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Canadian universities selected for North American self-driving car competition

GM and SAE International launched the competition for undergraduate students dubbed the "AutoDrive Challenge"


April 20, 2017
The Canadian Press
The Canadian Press

Two Canadian universities have been chosen to participate in a North American competition to develop a self-driving car in three years.

The University of Toronto and the University of Waterloo will compete against each other and six American schools with the goal of autonomous driving in an urban setting by 2020.

General Motors and SAE International, an engineering association, have launched the competition designed for undergraduate students that they’ve dubbed the “AutoDrive Challenge.”

Tim Barfoot, an engineering professor with the University of Toronto who is overseeing his school’s team, said student demand is intense just days after last week’s announcement that the university had been accepted as a competitor.

“There’s something about turning a robot into a vehicle that really captures people’s imaginations,” Barfoot said, adding 250 students have expressed interest in joining the team.

“When you can sit inside the robot and it’s driving around, that’s a totally different experience than watching it from the outside.”

The other schools competing are Kettering University, Michigan State University, Michigan Technological University, North Carolina A&T University, Texas A&M University and Virginia Tech.

Each school will receive a Chevrolet Bolt, General Motors’ new electric car, to work on. Intel will provide the computers needed and third parties will provide sensors.

The rest will be up to the students.

Next spring the schools will enter the first phase of the competition that will test straight roadway driving and object avoidance. By the third and final phase, which will take place at General Motors’ test facility in Yuma, Ariz., the cars will be navigating a complex urban setting, according to General Motors Canada spokesperson Uzma Mustafa.

The upshot for General Motors is simple: they’re looking to create a pipeline of well-trained engineers to hire in the company’s big push towards self-driving cars and related technologies.

At an event with Prime Minister Justin Trudeau last June, the Detroit-based car company announced it was looking to hire about 700 engineers in the next few years, many of whom will work at a new automotive software development centre in Markham, Ont.

“We have cars being tested in the United States and this is a good talent pool to see where the ideas are,” Mustafa said.

Derek Rayside, an electrical and computer engineering professor at the University of Waterloo who is overseeing his school’s team, said the competition is unique because it is geared for undergraduate students.

Artificial intelligence research is a booming field at his school, he said, with at least 20 professors working on various aspects of it, including many in the automotive area. But much of that research is limited to professors, post-doctoral fellows and graduate students.

“At the undergraduate level, it’s often difficult for those students, to get into that area of research,” Rayside said. “You can’t just do this on your own—you need all this infrastructure, like the car, the computers, the sensors.”

Both schools say their teams will be large.

Barfoot thinks his team will have 100 students, but he’s now scrambling to figure out how to accommodate everyone who is interested. Rayside thinks his team will be upwards of 50 students, but admits that could number could grow.

“There is huge, huge interest here, in just a few days,” Rayside said, noting his university has already selected a name for the car: WATonomous.

The goal is to achieve what’s known as “level four” autonomy by the end of the competition, Rayside said.

“That’s a very ambitious goal, but it’s good to have ambitious goals,” he said.

Level zero is no automation, Rayside explained.

“Level one is stuff like lane-keeping, so you start drifting out of the lane and the car can nudge you back into the lane and that’s on the market now,” he said. “Level two is stuff like the car senses there might be a collision and it applies emergency braking before you can get your foot down. That is on the market now and there is data that shows that this is making the world a safer place.”

At level three, the car starts driving on its own, which isn’t available to the public, but exists at research facilities, he said, including at the University of Waterloo, where the self-driving “Autonomoose”—developed by a team of professors, researchers and graduate students—is being tested.

“For levels three and four, the car is allowed to ask the human for help, if it’s confused and not sure what to do,” Rayside said. “At level five, the car is not allowed to ask for help. Nobody can do level 5 and nobody is even close to level 5.”