@inproceedings{36e7ccdb4a124dc899d7428f50f9cdeb,
title = "Lane marking detection in various lighting conditions using robust feature extraction",
abstract = "Robustly extracting the features of lane markings under different lighting and weather conditions such as shadows, glows, sunset and night is the a key technology of the lane departure warning system (LDWS). In this paper, we propose a robust lane marking feature extraction method. By useing the characteristics of the lane marking to detect candidate areas. The final lane marking features are extracted by first finding the center points of the lane marking in the candidate area then these center point pixels are labeled according to the intensity similarity along the direction of the vanishing point. The performance of the proposed method is evaluated by experiment at results using real world lane data.",
keywords = "Computer vision, Image processing, Lane detection, Lane marking feature extraction, LDWS (Lane Departure Warning System)",
author = "Jang, {Ho Jin} and Baek, {Seung Hae} and Park, {Soon Yong}",
year = "2014",
language = "English",
series = "22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2014, Poster Papers Proceedings - in co-operation with EUROGRAPHICS Association",
publisher = "Vaclav Skala Union Agency",
pages = "83--87",
editor = "Vaclav Skala",
booktitle = "22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2014, Poster Papers Proceedings - in co-operation with EUROGRAPHICS Association",
address = "Czech Republic",
note = "22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2014 - in co-operation with EUROGRAPHICS Association ; Conference date: 02-06-2014 Through 05-06-2014",
}