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基于图像识别的汽车智能防撞系统研究与实现 被引量:11

Design and Research for the Intelligence Auto Anti-collision System
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摘要 设计了一种在公路上利用车载单目机器视觉测量前方车距的方法,利用计算机视觉理论与方法,在对行车道内的前方车辆进行快速探测以及对摄像机进行预先标定的基础上,探讨仅利用摄像机参数和道路几何模型,计算前方车辆距离的方法,即基于单目视觉测距系统的智能防撞装置。该装置安装在车辆前部,对本车与前车进行持续监视,在有险情发生前,及时发出报警声音,提醒驾驶员注意并采取减速或制动措施,从而达到有效预防追尾碰撞事故发生的目的。 Designed a new method of measuring the leading vehicle distance using the on - board monocular camera is proposed in this paper. Using the theory and method of the computer vision, on the basis of quick detection of leading vehicle in the lane and calibration of camera. A leading vehicle distance evaluating method using only the intrinsic parameters of the camera and the geometry model of load is discussed, which adapt to the highway and the situation of our country. This device fixed to the vehicle forepart, which is keeping on scouting this ear and former car. Before an accident occurs,this device gives an alarm to remind pilot to decelerate or apply a break, which can avoid the car tail collision effectively.
出处 《机械与电子》 2008年第9期56-60,共5页 Machinery & Electronics
基金 湖南省教育厅资助科研项目(06C578)
关键词 机器视觉 摄像机参数 前车距离 智能 防撞 machine vision parameters of the camera leading vehicle distance intelligence auto anti - collision
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