@inproceedings{1d057684b76c4f64b73b2906ae0430cc,
title = "An adaptive approach to lane markings detection",
abstract = "A novel algorithm is represented to determine the position of markings in the presence of distracting shadows, highlight, pavement cracks, etc. RGB color space is transformed intoI1I2I3 color space and I2 component is used to form a new image with less affection of the clutter. Using an improved edge detection operator, an edge strength map is produced and binarilized by adaptive thresholds. The binary image is labeled and circularity of all connected components is calculated. The self-organizing maps is adopted to extract regions that imply potential markings. Finally the position of markings is obtained by curve fitting. Here color information is utilized fully and all thresholds are set adaptively. The method based on circularity of connected component shows its outstanding robustness to lane markings detection and has a wide variety of applications in the areas of vehicle autonomous navigation and driver assistance system.",
keywords = "Circularity, Color space transformation, Intelligent vehicle, Lane detection",
author = "Qing Li and Nanning Zheng and Hong Cheng",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003 ; Conference date: 12-10-2003 Through 15-10-2003",
year = "2003",
doi = "10.1109/ITSC.2003.1252005",
language = "英语",
series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "510--514",
booktitle = "Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003",
}