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. 22, 2022

Filed:

Sep. 15, 2020
Applicant:

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

Inventors:

Vitor Guizilini, Santa Clara, CA (US);

Igor Vasiljevic, Los Altos, CA (US);

Rares A. Ambrus, San Francisco, CA (US);

Sudeep Pillai, Los Altos, CA (US);

Adrien Gaidon, Los Altos, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/55 (2017.01); G06T 7/33 (2017.01); G06T 3/00 (2006.01); G06T 7/80 (2017.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01);
U.S. Cl.
CPC ...
G06T 7/55 (2017.01); G06T 3/0093 (2013.01); G06T 7/33 (2017.01); G06T 7/80 (2017.01); G05D 1/0088 (2013.01); G05D 1/0214 (2013.01); G05D 1/0223 (2013.01); G05D 1/0251 (2013.01); G05D 2201/0213 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30244 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Systems and methods for self-supervised learning for visual odometry using camera images captured on a camera, may include: using a key point network to learn a keypoint matrix for a target image and a context image captured by the camera; using the learned descriptors to estimate correspondences between the target image and the context image; based on the keypoint correspondences, lifting a set of 2D keypoints to 3D, using a learned neural camera model; estimating a transformation between the target image and the context image using 3D-2D keypoint correspondences; and projecting the 3D keypoints into the context image using the learned neural camera model.


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