Cornell researchers have discovered a relatively simple, low-cost method that enables 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.
New way to ‘see’ objects accelerates the future of self-driving cars
By James Billington1 Min Read