DocumentCode :
2235988
Title :
Detecting the Corners of Light Shape of Automotive Low-beam Headlamp by Inverse Hough Transform
Author :
He Yang-ming ; Dai Shu-guang
Author_Institution :
Coll. of Opt. & Electron., ShangHai Univ. for Sci. & Technol., Shanghai
fYear :
2009
fDate :
24-25 April 2009
Firstpage :
309
Lastpage :
311
Abstract :
The corners are the key points of light shape of automotive low-beam headlamp. This paper explains, in detail, the principle of detecting the corners of light shape of automotive low-beam headlamp with inverse Hough transform. There are three major steps. Firstly, gradient method is used to obtain the dividing line between brightness and darkness in the light shape of low-beam headlight. Secondly, the straight lines are detected by Hough transform. Thirdly, the cross-points of straight lines are obtained by inverse Hough transform. Then according to the reasonability of cross-points, unreasonable cross-points are removed, thus the corners of light shape are obtained. Experiments are used to prove that this method can resist noise and work on real time. It realizes the transformation from manual detection to automatic detection in detecting optical axes of vehicle lamp.
Keywords :
Hough transforms; automobiles; edge detection; gradient methods; lamps; traffic engineering computing; automatic vehicle lamp optical axes detection; automotive low-beam headlamp; gradient method; inverse Hough transform; light shape corner detection principle; noise resistance; Automotive engineering; Brightness; Gradient methods; Noise shaping; Optical detectors; Optical noise; Resists; Shape; Vehicle detection; Vehicles; (Inverse) Hough Transform; corner point; the dividing line between brightness and darkness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial and Information Systems, 2009. IIS '09. International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-3618-7
Type :
conf
DOI :
10.1109/IIS.2009.63
Filename :
5116360
Link To Document :
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