DEVICE FOR MONITORING AREA PRONE TO FREEZING AND RISK OF SLIPPAGE USING DEEP LEARNING MODEL, AND METHOD THEREFOR

WIPO Patent Application WO/2022/124479

A1

A method for monitoring an area prone to freezing and risk of slippage of the present invention comprises: a step of generating a multi-channel image vector by embedding a lidar image in which a data processing unit scans a monitoring area through a lidar sensor, an infrared filter image in which the monitoring area is photographed with an infrared filter camera, and a thermal infrared image photographed with a thermal infrared camera; a step in which a detection unit inputs the multi-channel image vector into a detection model; a step in which the detection model performs a plurality of operations to which weights learned between a plurality of layers are applied to the multi-channel image vector, and outputs a partition box for specifying an area in which the occurrence of freezing is estimated, and a probability that freezing is present in an area specified by the partition box; and a step in which, when the probability is greater than or equal to a preset threshold, the detection unit recognizes that freezing has occurred, and transmits a message notifying of the occurrence of freezing.

JP2006506715	Intelligent transportation system
WO/2017/129428	METHOD FOR OPERATING A DETECTION DEVICE OF A MOTOR VEHICLE
WO/1995/001607	AUTOMATED HIGHWAY SYSTEM

JI TAEK SOO (KR)
KIM JIN SUL (KR)
KIM CHI HUN (KR)
JANG JAE HYEOK (KR)

PCT/KR2021/002474

June 16, 2022

February 26, 2021

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UNIV NAT CHONNAM IND FOUND (KR)

G08G1/0967; G01S17/89; G06N3/08; G06T5/20; H04N7/18

KR20190131207A	2019-11-26
KR102156907B1	2020-09-16
KR101644370B1	2016-08-01
KR20160141226A	2016-12-08
KR101896406B1	2018-10-22

IPCJ PATENT & LAW FIRM (KR)

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