As if building a self-driving car wasn’t difficult enough, the University of Toronto’s Raquel Urtasun is trying make it affordable, too.
Urtasun, who was tapped earlier this year to head Uber’s self-driving research lab in Toronto, has focused much of her research on figuring out ways to replace expensive lidar (light detection and ranging) sensors – basically pulsed lasers – with cheaper conventional cameras that use artificial intelligence, or AI, to learn how to process images in 3-D.
“If you want to build a reliable self-driving car right now we should be using all possible sensors,” Urtasun, who is also an associate professor in U of T’s computer science department, tells Wired magazine.
“Longer term the question is how can we build a fleet of self-driving cars that are not expensive?”
Read the Wired magazine story on Raquel Urtasun
Read the full story at U of T News