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:
Mar. 14, 2023

Filed:

May. 06, 2020
Applicant:

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

Inventors:

Apurbaa Mallik, Sunnyvale, CA (US);

Vijay Nagasamy, Fremont, CA (US);

Aniruddh Ravindran, Sunnyvale, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06K 9/62 (2022.01); G06F 3/01 (2006.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01); B60W 60/00 (2020.01); G06N 3/08 (2023.01); G06V 10/40 (2022.01); G06V 20/40 (2022.01); G06V 20/59 (2022.01); G06V 40/18 (2022.01);
U.S. Cl.
CPC ...
G06K 9/6262 (2013.01); B60W 60/001 (2020.02); G05D 1/0088 (2013.01); G05D 1/0221 (2013.01); G06F 3/013 (2013.01); G06K 9/6267 (2013.01); G06N 3/08 (2013.01); G06V 10/40 (2022.01); G06V 20/40 (2022.01); G06V 20/59 (2022.01); G06V 40/193 (2022.01); B60W 2540/225 (2020.02); G05D 2201/0213 (2013.01);
Abstract

A training system for a deep neural network and method of training is disclosed. The system and/or method may comprise: receiving, from an eye-tracking system associated with a sensor, an image frame captured while an operator is controlling a vehicle; receiving, from the eye-tracking system, eyeball gaze data corresponding to the image frame; and iteratively training the deep neural network to determine an object of interest depicted within the image frame based on the eyeball gaze data. The deep neural network generates at least one feature map and determine a proposed region corresponding to the object of interest within the at least one feature map based on the eyeball gaze data.


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