Research on Autopilot Vehicle Ranging System Based on Binocular Vision

Fanglin Shu, Xiaoci Huang, Wenguan Cao
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Abstract

With the rapid development of communication technology and computer technology, autonomous driving technology has become a field of great concern. Environmental perception technology is one of the key technologies of autonomous vehicles. Binocular stereo vision technology has become an indispensable research content in environmental awareness technology because of its unique advantages. In this paper, the key technologies such as binocular ranging principle, camera calibration, stereo correction and stereo matching are studied. Based on this, a binocular stereo vision ranging system based on MATLAB and OpenCV is designed. Camera calibration is performed by MATLAB, and the calibration results are imported into OpenCV for stereo correction and stereo matching to solve the distance between the target object and the camera. The experimental results show that the measurement error is less than 2% within a distance of 30 meters.
基于双目视觉的自动驾驶车辆测距系统研究
随着通信技术和计算机技术的飞速发展,自动驾驶技术已经成为一个备受关注的领域。环境感知技术是自动驾驶汽车的关键技术之一。双目立体视觉技术以其独特的优势成为环境感知技术中不可或缺的研究内容。本文对双目测距原理、摄像机标定、立体校正和立体匹配等关键技术进行了研究。在此基础上,设计了基于MATLAB和OpenCV的双目立体视觉测距系统。通过MATLAB对摄像机进行标定,将标定结果导入OpenCV进行立体校正和立体匹配,求解目标物体与摄像机之间的距离。实验结果表明,在30米范围内,测量误差小于2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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