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:
Jan. 26, 2021

Filed:

Jul. 19, 2018
Applicant:

Honda Motor Co., Ltd., Tokyo, JP;

Inventors:

Rahul Khanna, Mountain View, CA (US);

Yusuke Narita, Milpitas, CA (US);

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2006.01); B60R 1/00 (2006.01); G06K 9/00 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0088 (2013.01); B60R 1/00 (2013.01); G06K 9/00664 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); B60R 2300/105 (2013.01); B60R 2300/304 (2013.01); G05D 2201/0213 (2013.01);
Abstract

This disclosure describes a vehicle system for identifying environmental objects within an operator's surroundings in a first window and removing object obstructions through a neural network in a second window to generate a rendered window, or scene, for display. As more windows are processed, the neural network may increase its understanding of the surroundings. The neural network may be a generative adversarial network (GAN) that may be trained to identify environmental objects by introducing noise data into those environmental objects. After receiving a first window from at least one camera on the vehicle, a rendered window may be created from a second window received from the at least one camera based on environmental objects identified within the first window through the GAN and removing object obstructions. The rendered window, without the object obstructions, and having superimposed environmental objects based on the GAN, may be displayed on an output device.


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