Measurement of Safe Driving Distance Based on Stereo Vision

2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI:10.1109/ICIG.2011.27

A. Hou, Xue Cui, Yingnan Geng, W. Yuan, J. Hou

{"title":"Measurement of Safe Driving Distance Based on Stereo Vision","authors":"A. Hou, Xue Cui, Yingnan Geng, W. Yuan, J. Hou","doi":"10.1109/ICIG.2011.27","DOIUrl":null,"url":null,"abstract":"The measurement of safe driving distance based on stereo vision is proposed. The model of camera imaging is established using traditional camera calibration method firstly. Secondly, the projection matrix is deduced according to camera's internal and external parameter and used to calibrate the camera. The method of camera calibration based on two-dimensional target plane is adopted. Then the distortion parameters are calculated when the nonlinear geometric model of camera imaging is built. Moreover, the camera's internal and external parameters are optimized on the basis of the projection error' least squares criterion so that the un-distortion image can be obtained. The matching is done between the left image and the right image corresponding to angular point. The parallax error and the distance between the target vehicle and the camera can be calculated. The experimental results show that the measurement scheme is an effective one in a security vehicles spacing survey. The proposed system is convenient for driver to control in time and precisely. It is able to increase the security in intelligent transportation vehicles.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Sixth International Conference on Image and Graphics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIG.2011.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 22

Abstract

The measurement of safe driving distance based on stereo vision is proposed. The model of camera imaging is established using traditional camera calibration method firstly. Secondly, the projection matrix is deduced according to camera's internal and external parameter and used to calibrate the camera. The method of camera calibration based on two-dimensional target plane is adopted. Then the distortion parameters are calculated when the nonlinear geometric model of camera imaging is built. Moreover, the camera's internal and external parameters are optimized on the basis of the projection error' least squares criterion so that the un-distortion image can be obtained. The matching is done between the left image and the right image corresponding to angular point. The parallax error and the distance between the target vehicle and the camera can be calculated. The experimental results show that the measurement scheme is an effective one in a security vehicles spacing survey. The proposed system is convenient for driver to control in time and precisely. It is able to increase the security in intelligent transportation vehicles.

查看原文本刊更多论文

基于立体视觉的安全驾驶距离测量

提出了基于立体视觉的安全驾驶距离测量方法。首先利用传统的摄像机标定方法建立摄像机成像模型;其次，根据摄像机的内外参数推导出投影矩阵，用于标定摄像机;采用了基于二维目标平面的摄像机标定方法。然后在建立相机成像的非线性几何模型时计算畸变参数。基于投影误差最小二乘准则对摄像机内外参数进行优化，得到无畸变图像。将角点对应的左图像与右图像进行匹配。可以计算出视差误差和目标车辆与摄像机之间的距离。实验结果表明，该测量方案在安全车辆间距测量中是一种有效的测量方案。该系统便于驾驶员及时、准确地进行控制。它可以增加智能交通车辆的安全性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2011 Sixth International Conference on Image and Graphics

自引率

0.00%

发文量