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Study of Black Ice Detection Method through Color Image Analysis  

Park, Pill-Won (동국대학교 대학혁신지원사업단)
Han, Seong-Soo (강원대학교 자유전공학부)
Publication Information
Journal of Platform Technology / v.9, no.4, 2021 , pp. 90-96 More about this Journal
Abstract
Most of the vehicles currently under development and in operation are equipped with various IoT sensors, but some of the factors that cause car accidents are relatively difficult to detect. One of the major risk factors among these factors is black ice. Black ice is one of the factors most likely to cause major accidents, as it can affect all vehicles passing through areas covered with black ice. Therefore, black ice detection technique is essential to prevent major accidents. For this purpose, some studies have been carried out in the past, but unrealistic factors have been reflected in some parts, so research to supplement this is needed. In this paper, we tried to detect black ice by analyzing color images using the CNN technique, and we succeeded in detecting black ice to a certain level. However, there were differences from previous studies, and the reason was analyzed.
Keywords
Black ice; Artificial intelligence(AI); Deep learning; Convolutional Neural Networks(CNN); image classification;
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