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http://dx.doi.org/10.6109/jkiice.2021.25.12.1874

A Black Ice Detection Method Using Infrared Camera and YOLO  

Kim, Hyung Gyun (School of Computer Eng., Jeonju University)
Jang, Min Seok (School of Computer & Inf. & Comm. Eng., Kunsan National University)
Lee, Yon Sik (School of Computer & Inf. & Comm. Eng., Kunsan National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.12, 2021 , pp. 1874-1881 More about this Journal
Abstract
Black ice, which occurs mainly on the road, vehicle traffic bridges and tunnel entrances due to the sub-zero temperature due to the slip of the road due to heavy snow, is not recognized because the image of asphalt is transmitted in the driver's view, so the vehicle loses braking power because it causes serious loss of life and property. In this paper, we propose a method to identify the black ice by using infrared camera and to identify the road condition by using deep learning to compensate for the disadvantages of existing black ice detection methods (artificial satellite imaging, checking the pattern of slip by ultrasonic reception, measuring the temperature of the road surface, and checking the difference in friction force of the tire during vehicle driving) and to reduce the size of the sensor to detect black ice.
Keywords
Black-Ice; Artificial intelligence; YOLO; Infrared camera;
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