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:
Dec. 01, 2020

Filed:

Aug. 10, 2018
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Quoc-Huy Tran, Santa Clara, CA (US);

Manmohan Chandraker, Santa Clara, CA (US);

Hyo Jin Kim, Chapel Hill, NC (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/08 (2006.01); G06T 7/73 (2017.01); G05D 1/00 (2006.01); G08G 5/04 (2006.01); B64C 39/02 (2006.01); G08G 5/00 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06N 5/04 (2006.01); G06T 7/00 (2017.01); G06F 16/29 (2019.01); G01C 21/32 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0816 (2013.01); B64C 39/024 (2013.01); G01C 21/32 (2013.01); G05D 1/0088 (2013.01); G06F 16/29 (2019.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 5/046 (2013.01); G06T 7/0002 (2013.01); G06T 7/73 (2017.01); G06T 7/74 (2017.01); G08G 5/0013 (2013.01); G08G 5/0021 (2013.01); G08G 5/0069 (2013.01); G08G 5/0086 (2013.01); G08G 5/045 (2013.01); B64C 2201/141 (2013.01); G05D 2201/0213 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30244 (2013.01);
Abstract

A computer-implemented method, system, and computer program product are provided for pose estimation. The method includes receiving, by a processor, a plurality of images from one or more cameras. The method also includes generating, by the processor with a feature extraction convolutional neural network (CNN), a feature map for each of the plurality of images. The method additionally includes estimating, by the processor with a feature weighting network, a score map from a pair of the feature maps. The method further includes predicting, by the processor with a pose estimation CNN, a pose from the score map and a combined feature map. The method also includes controlling an operation of a processor-based machine to change a state of the processor-based machine, responsive to the pose.


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