Traffic Lane Line Classification System by Real-time Image Processing

Huang Chingting, Hu Zhuqi, Shigeyuki Tateno

研究成果: Conference contribution

抜粋

The traffic safety has been a major concern in recent years. One of the effective approaches to prevent the traffic accident is to develop advanced driver assistance systems which can alarm driver in dangerous situation. In fact, changing lane or overtaking another vehicle is one of the most dangerous driving behaviors. Therefore, it is important for drivers to recognize current lane line types to take proper actions. However, classification systems proposed so far can only distinguish up to five types of lane lines, such as dashed and solid. Hence, the existing road classification systems are not suitable if there are more types of lane lines on the road. In this paper, an improved method is proposed to classify more lane line types by real-time image processing. In order to increase the detection accuracy of lane line types, the image stitching method is applied to reduce the misjudgment caused by blocked lane lines. A set of features about pixel distribution is utilized in the classifier to distinguish more than five lane line types. Furthermore, the results of experiments which are carried out in real road driving show high accuracy of the proposed classification method under the various situations.

元の言語English
ホスト出版物のタイトル2018 International Automatic Control Conference, CACS 2018
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538662786
DOI
出版物ステータスPublished - 2019 1 9
イベント2018 International Automatic Control Conference, CACS 2018 - Taoyuan, Taiwan, Province of China
継続期間: 2018 11 42018 11 7

出版物シリーズ

名前2018 International Automatic Control Conference, CACS 2018

Conference

Conference2018 International Automatic Control Conference, CACS 2018
Taiwan, Province of China
Taoyuan
期間18/11/418/11/7

    フィンガープリント

ASJC Scopus subject areas

  • Control and Optimization
  • Modelling and Simulation

これを引用

Chingting, H., Zhuqi, H., & Tateno, S. (2019). Traffic Lane Line Classification System by Real-time Image Processing. : 2018 International Automatic Control Conference, CACS 2018 [8606775] (2018 International Automatic Control Conference, CACS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CACS.2018.8606775