摘要
近年来,越来越多的智能停车管理系统采用无线磁阻传感器网络技术实现车辆检测。但该技术面临磁干扰问题,在干扰环境下,已有的车辆检测算法精度急剧下降。提出一种基于形态滤波的车辆检测算法,采用级联形态开-闭和形态闭-开运算设计滤波器,可有效过滤噪声干扰,且不会造成车辆磁信号的偏倚现象。实验结果表明:与已有车辆检测算法相比,本文算法提高了车辆检测准确率,检测精度达到98.5%。
In recent years,more and more intelligent parking management systems use wireless magnetic sensor network technology to realize vehicle detection.However,this technology is facing the problem of magnetic interference.Under the interference environment,the vehicle detection accuracy of the existing algorithm drops sharply.This paper proposes a vehicle detection algorithm based on morphological filtering,which uses cascading morphological open-close and close-off operations to design filters.This filter can effectively filter noise without causing bias of the vehicle magnetic signal.The experimental results show that,compared with the existing vehicle detection algorithms,the algorithm in this paper improves the vehicle detection accuracy rate,and the detection accuracy reaches 98.5%.
作者
张足生
陈伟
张先才
黄锦旺
陈亮
Zhang Zusheng;Chen Wei;Zhang Xiancai;Huang Jinwang;Chen Liang(Dongguan University of Technology,School of Cyberspace Security,Guangzhou 510006,China;Guangdong University of Technology,School of Computer Science,Guangzhou 510006,China;Shenzhen Cadre Technology Industry Co.Ltd,Shenzhen 518055,China)
出处
《自动化与信息工程》
2020年第4期18-25,共8页
Automation & Information Engineering
基金
国家自然科学基金面上项目(61872083)
广东省自然科学基金项目(2019A1515011123)
东莞理工学院科技产业创新服务专项(2019ZYFWXFD02)。
关键词
车辆检测
磁阻传感器
地磁干扰
形态滤波
vehicle detection
magnetic sensor
magnetic interference
morphological filtering
