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Detecting the Corners of Light Shape of Automotive Low-beam Headlamp by Inverse Hough Transform
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 t...
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creator | He Yang-ming Dai Shu-guang |
description | 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. |
doi_str_mv | 10.1109/IIS.2009.63 |
format | conference_proceeding |
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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.</description><identifier>ISBN: 0769536182</identifier><identifier>ISBN: 9780769536187</identifier><identifier>DOI: 10.1109/IIS.2009.63</identifier><identifier>LCCN: 2009900690</identifier><language>eng</language><publisher>IEEE</publisher><subject>(Inverse) Hough Transform ; Automotive engineering ; Brightness ; corner point ; Gradient methods ; Noise shaping ; Optical detectors ; Optical noise ; Resists ; Shape ; the dividing line between brightness and darkness ; Vehicle detection ; Vehicles</subject><ispartof>2009 International Conference on Industrial and Information Systems, 2009, p.309-311</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5116360$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5116360$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>He Yang-ming</creatorcontrib><creatorcontrib>Dai Shu-guang</creatorcontrib><title>Detecting the Corners of Light Shape of Automotive Low-beam Headlamp by Inverse Hough Transform</title><title>2009 International Conference on Industrial and Information Systems</title><addtitle>ICIINFS</addtitle><description>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.</description><subject>(Inverse) Hough Transform</subject><subject>Automotive engineering</subject><subject>Brightness</subject><subject>corner point</subject><subject>Gradient methods</subject><subject>Noise shaping</subject><subject>Optical detectors</subject><subject>Optical noise</subject><subject>Resists</subject><subject>Shape</subject><subject>the dividing line between brightness and darkness</subject><subject>Vehicle detection</subject><subject>Vehicles</subject><isbn>0769536182</isbn><isbn>9780769536187</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjMtqwzAURAUl0CbNqstu9AN2ryRLjpYhfcRg6CLp2sjWla0SW8FWUvL3TWhnM5yBM4Q8MUgZA_1SFLuUA-hUiTsyh1xpKRRb8RmZ32YNoDTck-U0fcM1Uq4yBg-kesWITfRDS2OHdBPGAceJBkdL33aR7jpzxBuuTzH0Ifoz0jL8JDWanm7R2IPpj7S-0GI4X0Wk23BqO7ofzTC5MPaPZObMYcLlfy_I1_vbfrNNys-PYrMuE89yGROtFcpGgbUMeJ1pZ7W1gE0NnAFKlgGgaIStpQGX1Q5yzg1fOeOMYSC1WJDnv1-PiNVx9L0ZL5VkTAkF4hdAXFNk</recordid><startdate>200904</startdate><enddate>200904</enddate><creator>He Yang-ming</creator><creator>Dai Shu-guang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200904</creationdate><title>Detecting the Corners of Light Shape of Automotive Low-beam Headlamp by Inverse Hough Transform</title><author>He Yang-ming ; Dai Shu-guang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-996e5c60dd102b49fd9dd0ecb0210e51400e3c3db5a0f4bf0722a28fafaa10593</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>(Inverse) Hough Transform</topic><topic>Automotive engineering</topic><topic>Brightness</topic><topic>corner point</topic><topic>Gradient methods</topic><topic>Noise shaping</topic><topic>Optical detectors</topic><topic>Optical noise</topic><topic>Resists</topic><topic>Shape</topic><topic>the dividing line between brightness and darkness</topic><topic>Vehicle detection</topic><topic>Vehicles</topic><toplevel>online_resources</toplevel><creatorcontrib>He Yang-ming</creatorcontrib><creatorcontrib>Dai Shu-guang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>He Yang-ming</au><au>Dai Shu-guang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Detecting the Corners of Light Shape of Automotive Low-beam Headlamp by Inverse Hough Transform</atitle><btitle>2009 International Conference on Industrial and Information Systems</btitle><stitle>ICIINFS</stitle><date>2009-04</date><risdate>2009</risdate><spage>309</spage><epage>311</epage><pages>309-311</pages><isbn>0769536182</isbn><isbn>9780769536187</isbn><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.</abstract><pub>IEEE</pub><doi>10.1109/IIS.2009.63</doi><tpages>3</tpages></addata></record> |
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subjects | (Inverse) Hough Transform Automotive engineering Brightness corner point Gradient methods Noise shaping Optical detectors Optical noise Resists Shape the dividing line between brightness and darkness Vehicle detection Vehicles |
title | Detecting the Corners of Light Shape of Automotive Low-beam Headlamp by Inverse Hough Transform |
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