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:
Feb. 07, 2023

Filed:

Jan. 27, 2020
Applicant:

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

Inventors:

Nikita Jaipuria, Union City, CA (US);

Aniruddh Ravindran, Sunnyvale, CA (US);

Hitha Revalla, Stanford, CA (US);

Vijay Nagasamy, Fremong, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06V 10/94 (2022.01); G06V 40/10 (2022.01); G05D 1/02 (2020.01); G06N 3/04 (2006.01); G06F 3/01 (2006.01);
U.S. Cl.
CPC ...
G06V 40/10 (2022.01); G05D 1/0221 (2013.01); G06F 3/013 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06V 10/95 (2022.01); G05D 2201/0213 (2013.01);
Abstract

A training system for a neural network system and method of training is disclosed. The method may comprise: receiving, from a sensor, an image frame captured while an operator is controlling a vehicle; using an eye-tracking system associated with the sensor, monitoring the eyes of the operator to determine eyeball gaze data; determining, from the image frame, a plurality of pedestrians; and iteratively training the neural network system to determine, from among the plurality of pedestrians, the one or more target pedestrians using the eyeball gaze data and an answer dataset that is based on the eyeball gaze data, wherein the determined one or more target pedestrians have a relatively-higher probability of collision with the vehicle than a remainder of the plurality of pedestrians.


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