Unsupervised confidence for LiDAR depth maps and applications
Andrea Conti,Matteo Poggi,Filippo Aleotti,Stefano Mattoccia,Andrea Conti,Matteo Poggi,Filippo Aleotti,Stefano Mattoccia
Depth perception is pivotal in many fields, such as robotics and autonomous driving, to name a few. Consequently, depth sensors such as LiDARs rapidly spread in many applications. The 3D point clouds generated by these sensors must often be coupled with an RGB camera to understand the framed scene semantically. Usually, the former is projected over the camera image plane, leading to a sparse depth...
