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:
Oct. 20, 2020

Filed:

Apr. 24, 2018
Applicant:

Ford Global Technologies, Llc, Dearborn, MI (US);

Inventors:

Punarjay Chakravarty, Mountain View, CA (US);

Kaushik Balakrishnan, Mountain View, CA (US);

Assignee:

FORD GLOBAL TECHNOLOGIES, LLC, Dearborn, MI (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/593 (2017.01); G06T 7/73 (2017.01); H04N 13/271 (2018.01); H04N 13/289 (2018.01); H04N 13/00 (2018.01);
U.S. Cl.
CPC ...
G06T 7/593 (2017.01); G06T 7/74 (2017.01); H04N 13/271 (2018.05); H04N 13/289 (2018.05); G06T 2207/20081 (2013.01); G06T 2207/30244 (2013.01); H04N 2013/0081 (2013.01);
Abstract

The disclosure relates to systems, methods, and devices for determining a depth map of an environment based on a monocular image. A method for determining a depth map includes receiving a plurality of images from a monocular camera forming an image sequence. The method includes determining pose vector data for two successive images of the image sequence and providing the image sequence and the pose vector data to a generative adversarial network (GAN), wherein the GAN is trained using temporal constraints to generate a depth map for each image of the image sequence. The method includes generating a reconstructed image based on a depth map received from the GAN.


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