DocumentCode :
578325
Title :
Machine vision based localization of intelligent vehicle
Author :
Wang Fei ; Duan Jian-min ; Zheng Bang-gui
Author_Institution :
Coll. of Electron. Inf. & Control Eng, Beijing Univ. of Technol., Beijing, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
4638
Lastpage :
4643
Abstract :
Aiming at implementing the lane recognition and determining the host vehicle´s parameters of position and direction accurately according to lane line parameters, realize the lane departure warning, one kind of practical algorithm for lane recognition and the host vehicle localization has been proposed. In the algorithm, lane parameters are obtained using Hough Transformation. Combined the inner and outer parameters of CCD and lane parameters, the parameters such as the host vehicle´s location parameter, the direction variable and the lane width are obtained using the coordinate transformation. The experiments indicated that this algorithm has the good adaptive ability and anti-jamming ability when roadway structure and illumination condition changes. It can satisfy many kinds of initiative safety system´s requests in a certain extent.
Keywords :
Global Positioning System; Hough transforms; automated highways; computer vision; image recognition; CCD; Hough transformation; adaptive ability; antijamming ability; coordinate transformation; direction variable; host vehicle location parameter; illumination condition; initiative safety system requests; intelligent vehicle; lane departure warning; lane line parameters; lane recognition; lane width; machine vision based localization; roadway structure; Educational institutions; Ferroelectric films; MATLAB; Machine vision; Nonvolatile memory; Random access memory; Vehicles; Departure warning; Lane line recognition; Machine vision; Vehicle location;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6359358
Filename :
6359358
Link To Document :
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