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. 03, 2023

Filed:

May. 21, 2020
Applicants:

Hyundai Motor Company, Seoul, KR;

Kia Motors Corporation, Seoul, KR;

Inventors:

In-Soo Jung, Goyang-si, KR;

Dong-Chul Lee, Anyang-si, KR;

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 9/38 (2018.01); H04L 12/40 (2006.01); H04L 12/42 (2006.01); B60R 16/023 (2006.01); G06F 16/176 (2019.01); G06F 16/33 (2019.01); G07C 5/00 (2006.01); G06N 3/06 (2006.01); G06Q 50/30 (2012.01); G07C 5/08 (2006.01); G06N 3/065 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/084 (2023.01); G06Q 10/20 (2023.01); G06N 3/082 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 9/3836 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/06 (2013.01); G06N 3/065 (2023.01); G06N 3/084 (2013.01); G06Q 10/20 (2013.01); G06Q 50/30 (2013.01); G07C 5/0808 (2013.01); H04L 12/40 (2013.01); G06N 3/082 (2013.01); H04L 2012/40215 (2013.01);
Abstract

An information sharing platform of providing bidirectional vehicle state information between a driver and a vehicle, the information sharing platform may include a communication controller which collects measured data and vehicle Controller Area Network (CAN) information by sensors installed to components capable of diagnosing a vehicle state; and a graphic controller which provides a driver with diagnosis result output information that is generated based on a predetermined selection criterion among the components through Deep Learning based diagnosis using big data having the collected data.


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