DocumentCode :
3522874
Title :
Research on Real-Time Lane Line Detection Techonogy Based on Machine Vision
Author :
Chen, Huaizhong ; Jin, Zheliang
Author_Institution :
Zhejiang Ind. Polytech. Coll., Shaoxing, China
fYear :
2010
fDate :
28-29 Oct. 2010
Firstpage :
528
Lastpage :
531
Abstract :
To keep an intelligent vehicle on the lane in the vision-based navigation, an image processing technology is proposed to detect the lane of a structured road. A way of lane marking recognition arithmetic being acclimated to structuring road is put forward. It makes use of Soble morphology gradient algorithm to coordinate with Hough transform, and we used straight line to reconstruct 2D lane. As the test result, it proves that the system can fairly exactly detect the normative real-time lane lines and identify some important information.
Keywords :
Hough transforms; computer vision; gradient methods; image reconstruction; road vehicles; 2D lane reconstruction; Hough transform; Soble morphology gradient algorithm; astructured road. lane; image processing technology; intellingent vehicle; lane marking recognition; machine vision; real-time lane line detection; vision-based navigation; Automobiles; Histograms; Image edge detection; Image reconstruction; Navigation; Pixel; Roads; 2D reconstruction; hough transform; image processing; lane detection; sobel algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence Information Processing and Trusted Computing (IPTC), 2010 International Symposium on
Conference_Location :
Huanggang
Print_ISBN :
978-1-4244-8148-4
Electronic_ISBN :
978-0-7695-4196-9
Type :
conf
DOI :
10.1109/IPTC.2010.124
Filename :
5663632
Link To Document :
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