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http://dx.doi.org/10.9723/jksiis.2019.24.2.025

Lane Departure Warning System using Deep Learning  

Choi, Seungwan (한밭대학교 제어계측공학과)
Lee, Keontae (한밭대학교 전자제어공학과)
Kim, Kwangsoo (한밭대학교 전자제어공학과)
Kwak, Sooyeong (한밭대학교 전자제어공학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.24, no.2, 2019 , pp. 25-31 More about this Journal
Abstract
As artificial intelligence technology has been developed rapidly, many researchers who are interested in next-generation vehicles have been studying on applying the artificial intelligence technology to advanced driver assistance systems (ADAS). In this paper, a method of applying deep learning algorithm to the lane departure warning system which is one of the main components of the ADAS was proposed. The performance of the proposed method was evaluated by taking a comparative experiments with the existing algorithm which is based on the line detection using image processing techniques. The experiments were carried out for two different driving situations with image databases for driving on a highway and on the urban streets. The experimental results showed that the proposed system has higher accuracy and precision than the existing method under both situations.
Keywords
Lane departure warning system; Advanced driver assistance system; Deep learning;
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