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. 07, 2023

Filed:

Jul. 23, 2021
Applicants:

Toyota Research Institute, Inc., Los Altos, CA (US);

Woven Planet North America, Inc., Los Altos, CA (US);

Inventors:

Sergey Zakharov, San Francisco, CA (US);

Wadim Kehl, Tokyo, JP;

Vitor Guizilini, Santa Clara, CA (US);

Adrien David Gaidon, Mountain View, CA (US);

Assignees:

Woven Planet North America, Inc., Los Altos, CA (US);

Toyota Research Institute, Inc., Los Altos, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/21 (2023.01); G06T 19/20 (2011.01); G06V 10/24 (2022.01); G06V 20/64 (2022.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G06F 18/2185 (2023.01); G06F 18/213 (2023.01); G06F 18/2148 (2023.01); G06T 19/20 (2013.01); G06V 10/242 (2022.01); G06V 20/64 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/20084 (2013.01); G06T 2210/12 (2013.01); G06T 2219/2021 (2013.01);
Abstract

Systems and methods for training an adapter network that adapts a model pre-trained on synthetic images to real-world data are disclosed herein. A system may include a processor and a memory in communication with the processor and having machine-readable that cause the processor to output, using a neural network, a predicted scene that includes a three-dimensional bounding box having pose information of an object, generate a rendered map of the object that includes a rendered shape of the object and a rendered surface normal of the object, and train the adapter network, which adapts the predicted scene to adjust for a deformation of the input image by comparing the rendered map to the output map acting as a ground truth.


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