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复杂路面环境下前方车辆识别目标函数的选取
引用本文:马雷,武波涛,于福莹.复杂路面环境下前方车辆识别目标函数的选取[J].汽车工程,2009,31(4).
作者姓名:马雷  武波涛  于福莹
作者单位:1. 燕山大学车辆与能源学院,秦皇岛,066004
2. 燕山大学研究生学院,秦皇岛,066004
基金项目:河北省教育厅科研项目,扬州大学博士基金 
摘    要:首先利用道路边界信息限定车辆的存在范围,以提高识别的实时性.接着根据灰度图像上车辆底部的灰度特征、方差特征和下边界梯度特征构造车辆检测目标函数,以指导在车辆存在区检测前方车辆.最后利用区域增长方法剔除由噪声引起的误判.实验验证表明,在复杂环境下该目标函数能够有效地消除大量无规则噪声的影响,并能准确地识别出车辆目标.

关 键 词:机器视觉  车辆识别  目标函数

The Selection of the Objective Function for Identifying Anterior Vehicles in Complex Road Condition
Ma Lei,Wu Botao,Yu Fuying.The Selection of the Objective Function for Identifying Anterior Vehicles in Complex Road Condition[J].Automotive Engineering,2009,31(4).
Authors:Ma Lei  Wu Botao  Yu Fuying
Institution:Ma Lei1,Wu Botao1 & Yu Fuying21.College of Vehicle , Energy,Yanshan University,Qinhuangdao 066004,2.Department of Postgraduate
Abstract:Firstly the presence area of vehicles is confined by road boundary information for improving the real-timeliness of identification.Then based on the features of grayscale,variance and lower edge gradient at the bottom of vehicle in a monochromatic image,the objective function for vehicle detection is constructed as a guide to detect front vehicles in their presence area.Finally some misjudgments caused by noises are rejected with the method of region-growing.Test verification shows that in complex condition...
Keywords:machine vision  vehicles identification  objective function  
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