Luca Ebner

Metrically Scaled Monocular Depth Estimation through Sparse Priors for Underwater Robots

In this work, we address the problem of real-time dense depth estimation from monocular images for mobile underwater vehicles. We formulate a deep learning model that fuses sparse depth measurements from triangulated features to improve the depth predictions and solve the problem of scale ambiguity.…