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:
Apr. 29, 2025

Filed:

Jun. 29, 2023
Applicant:

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

Inventors:

Jiexiong Tang, Stockholm, SE;

Rares Andrei Ambrus, San Francisco, CA (US);

Vitor Guizilini, Santa Clara, CA (US);

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

Assignee:

TOYOTA RESEARCH INSTITUTE, INC., Los Altos, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/55 (2016.12); G06T 3/18 (2023.12); G06T 3/4007 (2023.12); G06T 3/4046 (2023.12); G06T 7/70 (2016.12); G06T 19/00 (2010.12); G06V 20/56 (2021.12);
U.S. Cl.
CPC ...
G06T 7/55 (2016.12); G06T 3/18 (2023.12); G06T 3/4007 (2012.12); G06T 3/4046 (2012.12); G06T 7/70 (2016.12); G06T 19/00 (2012.12); G06V 20/56 (2021.12); G06T 2207/30244 (2012.12);
Abstract

A method for depth estimation performed by a depth estimation system associated with an agent includes determining a first depth of a first image and a second depth of a second image, the first image and the second image being captured by a sensor associated with the agent. The method also includes generating a first 3D image of the first image based on the first depth, a first pose associated with the sensor, and the second image. The method further includes generating a warped depth image based on transforming the first depth in accordance with the first pose. The method also includes updating the first pose based on a second pose associated with the warped depth image and the second depth, and updating the first 3D image based on the updated first pose. The method further includes controlling an action of the agent based on the updated first 3D image.


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