A depth completion network trained on synthetic field-robotics scenes predicts dense metric depth from extremely sparse real measurements and runs in real time on embedded hardware in unseen outdoor environments.
G2-monodepth: A general framework of generalized depth inference from monocular rgb+x data
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Depth Completion in Unseen Field Robotics Environments Using Extremely Sparse Depth Measurements
A depth completion network trained on synthetic field-robotics scenes predicts dense metric depth from extremely sparse real measurements and runs in real time on embedded hardware in unseen outdoor environments.