NVIDIA Corporation
DISTANCE DETERMINATIONS USING ONE OR MORE NEURAL NETWORKS

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Abstract:

Apparatuses, systems, and techniques are presented to determine distance for one or more objects. In at least one embodiment, a disparity network is trained to determine distance data from input stereoscopic images using a loss function that includes at least one of a gradient loss term and an occlusion loss term.

Status:
Application
Type:

Utility

Filling date:

20 Apr 2020

Issue date:

21 Oct 2021