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:

Nov. 21, 2018
Applicant:

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

Inventors:

Gautham Sholingar, Sunnyvale, CA (US);

Jinesh J Jain, Palo Alto, CA (US);

Gintaras Vincent Puskorius, Novi, MI (US);

Leda Daehler, Dearborn, MI (US);

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G01C 22/00 (2006.01); G06N 3/04 (2006.01); G06T 7/73 (2017.01); G06K 9/62 (2006.01); G05D 1/02 (2020.01); G05D 1/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00805 (2013.01); G05D 1/0214 (2013.01); G05D 1/0246 (2013.01); G06K 9/627 (2013.01); G06K 9/6256 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06T 7/74 (2017.01); G05D 1/0088 (2013.01); G05D 1/0221 (2013.01); G05D 1/0257 (2013.01); G05D 1/0276 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A computing system can crop an image based on a width, height and location of a first vehicle in the image. The computing system can estimate a pose of the first vehicle based on inputting the cropped image and the width, height and location of the first vehicle into a deep neural network. The computing system can then operate a second vehicle based on the estimated pose. The computing system may train a model to identify a type and a location of a hazard according to the estimated pose, the hazard being such things as ice, mud, pothole, or other hazard. The model may be used by an autonomous vehicle to identify and avoid hazards or to provide drive assistance alerts.


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