The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 21, 2023

Filed:

Mar. 03, 2021
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Sravya Nimmagadda, Santa Clara, CA (US);

David Weikersdorfer, Mountain View, CA (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/73 (2017.01); B25J 9/16 (2006.01); G06N 3/08 (2023.01); G06V 20/10 (2022.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06T 7/75 (2017.01); B25J 9/1697 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06V 20/10 (2022.01);
Abstract

An autoencoder may be trained to predict 3D pose labels using simulation data extracted from a simulated environment, which may be configured to represent an environment in which the 3D pose estimator is to be deployed. Assets may be used to mimic the deployment environment such as 3D models or textures and parameters used to define deployment scenarios and/or conditions that the 3D pose estimator will operate under in the environment. The autoencoder may be trained to predict a segmentation image from an input image that is invariant to occlusions. Further, the autoencoder may be trained to exclude areas of the input image from the object that correspond to one or more appendages of the object. The 3D pose may be adapted to unlabeled real-world data using a GAN, which predicts whether output of the 3D pose estimator was generated from real-world data or simulated data.


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