Title :
Lane departure identification on highway with searching the region of interest on hough space
Author :
Lin, Haiping ; Ko, Suhong ; Shi, Wang ; Kim, Yeongim ; Kim, Hyongsuk
Author_Institution :
Chonbuk Nat. Univ., Jeonju
Abstract :
An updated expressway lane departure identification which based on a combination of the lane boundaries detection method and lane following with searching of the region of interest on Hough domain were proposed in this paper. After preprocessing captured road images, we employed mathematical morphology technique to obtain edge map and Hough Transform (HT) to detect lane candidates. To estimate lane boundaries among these candidates, we use some information such as lane orientation (angle), the symmetrical property, boundary length, etc. on Hough domain. And then, lane following with prior of knowledge of lane detection showed a good performance. The robustness and the low compute cost of the proposed algorithm had been shown with experiment results.
Keywords :
Hough transforms; automated highways; image sequences; mathematical morphology; object detection; video signal processing; Hough transform; automated highway; expressway lane departure identification; lane boundary detection; lane following; mathematical morphology; road image processing; video sequence; Automatic control; Computer vision; Image edge detection; Image segmentation; Lighting; Noise shaping; Road transportation; Robotics and automation; Robustness; Shape; Cluster analysis; Hough transforms; Lane boundary detection; lane following;
Conference_Titel :
Control, Automation and Systems, 2007. ICCAS '07. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-6-2
Electronic_ISBN :
978-89-950038-6-2
DOI :
10.1109/ICCAS.2007.4407061