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:
Jul. 20, 2021

Filed:

Sep. 30, 2019
Applicant:

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

Inventors:

Iman Soltani Bozchalooi, Sacramento, CA (US);

Francis Assadian, Davis, CA (US);

Lisa Scaria, Milpitas, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G07C 5/08 (2006.01); G07C 5/00 (2006.01); G05D 1/02 (2020.01); H04L 29/08 (2006.01); G05D 1/00 (2006.01); G01S 13/86 (2006.01);
U.S. Cl.
CPC ...
G07C 5/085 (2013.01); G01S 13/865 (2013.01); G05D 1/0088 (2013.01); G05D 1/0094 (2013.01); G05D 1/024 (2013.01); G05D 1/0272 (2013.01); G07C 5/008 (2013.01); G07C 5/0808 (2013.01); H04L 67/12 (2013.01);
Abstract

A computer, including a processor and a memory, the memory including instructions to be executed by the processor to determine performance of a plurality of vehicle data sources used to operate a vehicle by evaluating each vehicle data source output data and train a deep neural network to determine reliability for each of the vehicle data sources based on the performance using reinforcement learning. The instructions can further include instructions to combine output data from the vehicle data sources based on the reliability including using the deep neural network to correlate output data from one or more vehicle data sources to the performance to determine how accurately the output data from each vehicle data source corresponds to vehicle performance and operate the vehicle based on combined output data.


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