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Dragoş Costea

1 accepted papers

2022

UFO Depth: Unsupervised learning with flow-based odometry optimization for metric depth estimation

ICRA 2022poster

We propose an efficient method for unsupervised learning of metric depth estimation from a single image in the context of unconstrained videos captured from UAVs. We combine the accuracy of an analytical solution based on odometry with the power of deep learning. First, we show how to correct the no…

Cited by 6SourceScholar