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中南大学学报(自然科学版)

Journal of Central South University

第48卷    第11期    总第279期    2017年11月

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文章编号:1672-7207(2017)11-2959-07
非接触式汽车轴距差动态检测方法
单红梅,吴岛,张立斌,苏建

(吉林大学 交通学院,吉林 长春,130022)

摘 要: 针对已有汽车轴距差检测方法存在的缺陷,提出一种基于立体视觉的非接触式汽车轴距差动态检测方法。该方法基于双目立体视觉成像原理及轴距差测量模型,应用已标定的摄像机采集车轮图像,采用数字图像处理技术对车轮轮毂图像特征进行提取;建立三维重建模型;为得到轮毂中心坐标,采用最小二乘法对轮毂的50个边界点进行拟合;针对曲线行驶时产生的曲线补偿差值,建立曲线矫正模型,应用Matlab对20个偏转角β进行拟合验证。研究结果表明:通过实车实验及3种不同检测方法对比分析,本系统具有可靠的稳定性,满足车辆检测要求。

 

关键词: 非接触式;动态检测;双目立体视觉;三维重建;曲线矫正

Dynamic detection method for non-contact vehicle wheelbase difference
SHAN Hongmei, WU Dao, ZHANG Libin, SU Jian

School of Transportation, Jilin University, Changchun 130022,China

Abstract:Aiming at the defects of the existing detection methods for vehicle wheelbase difference, a dynamic detection method based on the stereo vision for the non-contact vehicle wheelbase difference was proposed. The method was based on the imaging principle of binocular stereo vision and the measurement model of wheelbase difference, and applied calibrated cameras to capture wheels image and using the digital image processing technology to extract wheel hub image feature. A 3D reconstruction model was established. In order to get the center coordinates of wheel hub, 50 boundary points of the wheel hub were fitted by the least square method. Aiming at the curve compensation value generated during curve driving, a curve correction model was established and 20 deflection angle β were fitted by Matlab. The results show that the stability of the system is verified through testing car in practice and comparative analysis of three different detection methods, which can meet the vehicle detection requirements.

 

Key words: non-contact; dynamic detection; binocular stereo vision; 3D reconstruction; curve correction

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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