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 conferenceObject |
URI: | http://wscg.zcu.cz/WSCG2014/!!_2014-Posters-Proceedings.pdf http://hdl.handle.net/11025/11945 |
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 |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/11945
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