METHOD AND DEVICE FOR DIAGNOSING VEHICLE USING DEEP LEARNING-BASED ARTIFICIAL INTELLIGENCE

Title:

METHOD AND DEVICE FOR DIAGNOSING VEHICLE USING DEEP LEARNING-BASED ARTIFICIAL INTELLIGENCE

Document Type and Number:

WIPO Patent Application WO/2019/031799

Kind Code:

A1

Abstract:

A method for diagnosing a vehicle using deep learning-based artificial intelligence comprises the steps in which: a computer device receives a plurality of sensing data collected by each of a plurality of sensors of a vehicle for a predetermined time; the computer device preprocesses the plurality of sensing data to generate input data; the computer device inputs the input data into a pre-trained deep learning model; and the computer device diagnoses a failure or the service life of components of the vehicle according to an output result of the deep learning model. The plurality of sensing data are different kinds of sensing data collected from the vehicle, and the computer device preprocesses the data on the basis of a value varying over time in a predetermined time unit for each of the plurality of sensing data.

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Inventors:

CHOI CHANG WOO (KR)
KIM MIN JUNG (KR)
KIM YOONG KYU (KR)

Application Number:

PCT/KR2018/008929

Publication Date:

February 14, 2019

Filing Date:

August 07, 2018

Export Citation:

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Assignee:

DYMATICS CO LTD (KR)

International Classes:

G06F11/00; G06F11/07; G06N3/08

Domestic Patent References:

WO2014207789A1

2014-12-31

Foreign References:

JP2006053016A	2006-02-23
KR20170078387A	2017-07-07
KR20150080336A	2015-07-09
JP2016173782A	2016-09-29