Calibration method for testing system of vehicle wheel alignment parameters based on binocular vision

被引：0

作者：

Xu, Guan ^{[1
,2
]}

Su, Jian ^{[1
]}

Li, Xiao-Tao ^{[2
]}

Su, Li-Li ^{[1
]}

Tian, Guang-Dong ^{[1
]}

机构：

[1] College of Transportation, Jilin University, Changchun 130022, China

[2] College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China

来源：

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2010年 / 40卷 / SUPPL.1期

关键词：

Binocular vision - Stereo image processing - Alignment;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

For solving the problem of testing the automotive wheel alignment parameters non-contactly and accurately, a detection system of wheel alignment parameters based on binocular vision is proposed. The calibration method of the vision detection system is analyzed. The method based on distortion correction of lens and linear model is employed to calibrate the cameras. The calibration experiments are accomplished on the condition that the baseline distances of the vision system are 400 mm, 600 mm, 1000 mm, respectively. Experiments show that accuracy of the vision system increases as baseline distance increases. The mean error of 32 three-dimensional points on the calibration board is 0.453 897 mm and the maximal error is 0.794 095 mm when the baseline distance is 1000 mm. The feasibility and accuracy of the test system are inspected by the experiments.

引用

页码：115 / 118