Wired magazine: How a 管家婆免费开奖大全 researcher is trying to make the economics of self-driving cars work
Published: November 10, 2017
As if building a self-driving car wasn鈥檛 difficult enough, the 管家婆免费开奖大全鈥檚 Raquel Urtasun is trying make it affordable, too.
Urtasun, who was tapped earlier this year to head Uber鈥檚 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 鈥 basically pulsed lasers 鈥 with cheaper conventional cameras that use artificial intelligence, or AI, to learn how to process images in 3-D.
鈥淚f you want to build a reliable self-driving car right now we should be using all possible sensors,鈥 Urtasun, who is also an associate professor in 管家婆免费开奖大全鈥檚 computer science department, tells Wired magazine.
鈥淟onger term the question is how can we build a fleet of self-driving cars that are not expensive?鈥
The magazine says Urtasun鈥檚 鈥減rominence鈥 at Uber reflects a 鈥渞elatively new school of thought鈥 in the self-driving car world. Whereas others have focused on developing better sensors and other equipment, Urtasun is more interested in the power of computers to understand existing images using the AI technique of deep learning, which was pioneered by researchers like 管家婆免费开奖大全鈥檚 Geoffrey Hinton.
Urtasun, who now heads a group of about 30 at Uber, including eight of her 管家婆免费开奖大全 grad students, is also trying to apply her smart-camera software to the high-resolution mapping that self-driving cars require to operate 鈥 maps that are currently generated mostly through lidar.
Her lab has developed software that can generate detailed maps of roads, sidewalks and other features from ground-level photos.
She even has a project that showed how self-driving cars may be able to use the sun鈥檚 position to help determine their location without GPS.
Topics
