Title: Lane Marking Detection in Various Lighting Conditions using Robust Feature Extraction
Authors: Jang, Ho-Jin
Baek, Seung-Hae
Park, Soon-Yong
Citation: WSCG 2014: Poster Papers Proceedings: 22nd International Conference in Central Europeon Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 83-88.
Issue Date: 2014
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2014/!!_2014-Posters-Proceedings.pdf
ISBN: 978-80-86943-72-5
Keywords: extrakce znaků;detekce obrazu;značení cest;zpracování obrazu;počítačové vidění
Keywords in different language: feature extraction;image detection;lane marking;image processing;computer vision
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.
Rights: © Václav Skala - Union Agency
Appears in Collections:WSCG 2014: Poster Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11945

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