Cornell researchers have discovered a relatively simple, low-cost method that allows autonomous cars to detect 3D objects with high accuracy. Kilian Weinberger, associate professor of computer science and senior author of the paper, “Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving,” discusses the group’s research. More at http://news.cornell.edu/stories/2019/04/new-way-see-objects-accelerates-future-self-driving-cars