Diogo Martins

Fusion of Stereo and Still Monocular Depth Estimates in a Self-Supervised Learning Context

We study how autonomous robots can learn by themselves to improve their depth estimation capability. In particular, we investigate a self-supervised learning setup in which stereo vision depth estimates serve as targets for a convolutional neural network (CNN) that transforms a single still image to…