2022
Self-Supervised Depth Completion for Active Stereo
Frederik Warburg, Daniel Hernández Juárez, Juan Tarrio, Alexander Vakhitov, Ujwal Bonde, Pablo F. Alcantarilla
RA-L 2022
Active stereo systems are used in many robotic applications that require 3D information. These depth sensors, however, suffer from stereo artefacts and do not provide dense depth estimates. In this work, we present the first self-supervised depth completion method for active stereo systems that pred