2020
Unsupervised Depth and Confidence Prediction from Monocular Images using Bayesian Inference
IROS 2020poster
In this paper, we propose an unsupervised deep learning framework with Bayesian inference for improving the accuracy of per-pixel depth prediction from monocular RGB images. The proposed framework predicts confidence map along with depth and pose information for a given input image. The depth hypoth…