A Study of Automobile Four-Wheel Location Technology Based on Machine Vision

Article Preview

Abstract:

This paper researchs the space vector change and machine vision recognition based on plane target cooperation identification.Then establishes plane target imaging model, space attitude measurement algorithm and software flow, which are utilized in the measurement of automobile four-wheel location. The results indicate that this method is feasible in the automobile four-wheel location technology with the advantages of good anti-interference, fast speed, wide range and high accuracy.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 230-232)

Pages:

235-240

Citation:

Online since:

May 2011

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zheng-you ZHANG. A flexible new technique for camera calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(11):1330-1334.

DOI: 10.1109/34.888718

Google Scholar

[2] Zhou Fengjiao, Su Xianyu, Li Meiju and etc. Camera linear calibration method with a coplanar target[J]. Opto-electronic Engineering, 2005, 32(4): 70-74.

Google Scholar

[3] Jiaming Lin, Mailing Xing, Dingguo Sha and etc . Distortion measurement of CCD imaging system wit h short focal lengt h and large-field objective[J ] . Optics and L asers in Engineering , 2005 , 43 (10) : 1137~1144.

DOI: 10.1016/j.optlaseng.2004.07.006

Google Scholar

[4] Yu Jun, Lin Jiaming, Yang Jianyu, Zhang Xusheng, Sha Dingguo. Distortion Measurement and Calibration Technology for CCD Camera System Based on New Target Board [J]. Acta Optica Sinica, 2007, 27(8): 1440-1442.

Google Scholar

[5] Wei Zhenzhong, Zhang Guangjun. Distortion Error Model of Image of Ellipse Center in 3D Visual Inspection [J]. Journal of Beijing University of Aeronautics and Astronautics, 2003, 29(2): 140-143.

Google Scholar

[6] Han Bin, Zhou Zengyu, Wang Shitong. Improved sub-pixel rapid corner detecting algorithm [J]. Journal of Jiangsu University of Science and Technology, 2009, 23(2): 146-149.

Google Scholar

[7] SONG Xin, LUO Jun, WANG Lu-ping, SHEN Zhen-kang. Edge Detection Method Based on Mean Shift Clustering Method[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2007,27(1): 366-368.

Google Scholar

[8] Ding Xinghao. Sub-pixel Edge Detection Based on Wavelet Transform[J]. Chinese Journal of Scientific Instrument, 2005, 26(8): 801-804.

Google Scholar

[9] WANG Cheng-liang1, ZOU Zheng-rong1, Lü Hai-qin1, Wang Jing. Research on the Key Problems of Subpixel Location of Control Point Image in Quasi-2D Control Field[J]. Hydrographic Surveying and Charting, 2007, 27(1): 70-73.

Google Scholar

[10] SUN Zhong-sen, SUN Jun-xi, SONG Jian-zhong, QIAO Shuang. Anti-occlusion arithmetic for moving object tracking [J]. Optics and Precision Engineering, 2007, 15(2): 267-271.

Google Scholar

[11] Zhang Tienan Tu Yaqing Wang Dechao. Study of wheel alignment based on computer vision[J]. Electronic Measurement Technology, 2008,31(4): 52-56.

Google Scholar