Title :
A New Lane Detection Method Based on Feature Pattern
Author :
Shi, Xuejie ; Kong, Bin ; Zheng, Fei
Author_Institution :
Inst. of Intell. Machine, Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
In this paper, we present a novel method to detect lane. We process the image in the HSV color space through three steps to detect all the features of the lanes. Then we synthetically judge the lane region by the features. Finally, we detect the lane by the subsection detecting method, according to the orientation of the lane. It is proved to have high accuracy and performance. So it can be used in video-images for Driver Assistance System.
Keywords :
feature extraction; image colour analysis; pattern recognition; HSV color space; driver assistance system; feature pattern; lane detection method; lane orientation; subsection detecting method; video-images; Computer vision; Detection algorithms; Feature extraction; Image color analysis; Image segmentation; Least squares methods; Machine intelligence; Road accidents; Solid modeling; Space technology;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5304294
