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. 18, 2022

Filed:

Nov. 24, 2020
Applicant:

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

Inventors:

Punarjay Chakravarty, Mountain View, CA (US);

Tom Roussel, San Mateo, CA (US);

Praveen Narayanan, San Jose, CA (US);

Gaurav Pandey, Foster City, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
G06T 7/74 (2017.01); G06T 2207/10012 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30244 (2013.01);
Abstract

Various examples of hybrid metric-topological camera-based localization are described. A single image sensor captures an input image of an environment. The input image is localized to one of a plurality of topological nodes of a hybrid simultaneous localization and mapping (SLAM) metric-topological map which describes the environment as the plurality of topological nodes at a plurality of discrete locations in the environment. A metric pose of the image sensor can be determined using a Perspective-n-Point (PnP) projection algorithm. A convolutional neural network (CNN) can be trained to localize the input image to one of the plurality of topological nodes and a direction of traversal through the environment.


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