基于单目摄像机的前车检测方法研究

Chu Jiangwei, Jin Lisheng, Guo Lie, Libibing, Wang Rongben
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引用次数: 43

摘要

本文系统地介绍了基于单目摄像机的前车检测方法。主要内容如下:首先,利用摄像机图像中识别的车道边界找到主要感兴趣区域,利用目标车辆与背景的灰度差搜索可能的目标车辆;其次,根据可能目标车辆的面积再次找到识别感兴趣区域,通过车辆轮廓的对称性特征确认目标车辆,并确定车辆对称轴的位置;第三,在序列图像中利用卡尔曼预测原理对目标车辆进行跟踪;第四,介绍了一种检测图像帧内距离的方法。给出了摄像机内部参数的标定和一些实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on method of detecting preceding vehicle based on monocular camera
This article describes systemically the method of detecting the preceding vehicle based on a monocular camera. The main content is as follows: first, a primary area of interest is found by the lane borderlines that are identified in a camera image, and a likelihood target vehicle is searched by the gray difference between the target vehicle and the background; second, an identifying area of interest is found again based on the area of a likelihood target vehicle, a target vehicle is affirmed by a symmetry character of the vehicle outline and a position of the vehicle symmetrical axis is ascertained; third, the object vehicle is tracked by Kalman forecast principle in the sequence images; fourth, a method of detecting distance in a frame of image is introduced. The calibration of the camera's interior parameters and the results of some experiments are given.
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