id: 05807922
dt: a
an: 05807922
au: Tran, Trung-Thien; Bae, Chan-Su; Kim, Young-Nam; Cho, Hyo-Moon; Cho,
    Sang-Bock
ti: An adaptive method for lane marking detection based on HSI color model.
so: Huang, De-Shuang (ed) et al., Advanced intelligent computing theories and
    applications. 6th international conference on intelligent computing,
    Changsha, China, August 18‒21, 2010. Proceedings. Berlin: Springer
    (ISBN 978-3-642-14830-9/pbk; 978-3-642-14831-6/ebook). Communications
    in Computer and Information Science 93, 304-311 (2010).
py: 2010
pu: Berlin: Springer
la: EN
cc: 
ut: lane detection; HSI color model; color-based; computer vision
ci: 
li: doi:10.1007/978-3-642-14831-6_41
ab: Summary: Lane marking detection is the problem of estimating the lane
    boundary of a road on the image captured by a camera. This paper
    proposed an adaptive method based on HSI color model to detect lane
    marking. First, we convert RGB-based image to its HSI-based image.
    However, HSI color model is improved by the change in the way to
    calculate the intensity (I) component from RGB color images. From
    observing the color images of the road scene in HSI color space, we
    utilized the limited range of color. Hence, H, S and I component are
    used in this method. Just simple operations, we can detect lane marking
    in various road images. By comparing the results of the proposed method
    with other methods using RGB color model and the same method in
    classical HSI color model which doesn’t change the intensity
    component, the proposed method can label the location of lane marking
    accurately.
rv: