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基于神经网络的信息融合车场监控系统
引用本文:张晓强,王正友,于洪珍. 基于神经网络的信息融合车场监控系统[J]. 江南大学学报(自然科学版), 2006, 5(4): 418-421
作者姓名:张晓强  王正友  于洪珍
作者单位:1. 中国矿业大学,管理学院,江苏,徐州,221008
2. 中国矿业大学,信息与电气工程学院,江苏,徐州,221008
基金项目:江苏省自然科学基金项目(BK2001073)
摘    要:首先介绍了车场融合监控的多媒体工作站主界面,建立了系统融合监控的结构模型.然后以机车闯红灯为例,阐述了融合监控的具体实现过程,即系统对来自轨道传感器、图像传感器两路传感信息分别进行时域融合.在此基础上,再进行空域融合,从而给出最终的判决结果.最后对图像融合进行分类识别,并对多网络融合进行了研究.

关 键 词:神经网络  融合监控  车场  传感器
文章编号:1671-7147(2006)04-0418-04
收稿时间:2006-02-28
修稿时间:2006-06-28

Information Fusion Monitoring of Pit Bottom Based on the Nerve Networks
ZHANG Xiao-qiang,WANG Zheng-you,YU Hong-zhen. Information Fusion Monitoring of Pit Bottom Based on the Nerve Networks[J]. Journal of Southern Yangtze University:Natural Science Edition, 2006, 5(4): 418-421
Authors:ZHANG Xiao-qiang  WANG Zheng-you  YU Hong-zhen
Affiliation:1. School of Managament,China University of Mining and Technology,Xuzhou 221008, China;2. College of Information and Electrical Engineering, China University of Mining and Technology,Xuzhou 221008, China
Abstract:The multimedia workstation information fusion monitoring main interface was introduced and the construction module of the fusion monitoring system was established.Then,with an example that tram runs through red traffic light,the real proceeding of fusion monitoring was described.Namely,the system makes time realm fusion for the image sensor and track sensor separately.Finally,the multimedia workstation makes the space realm fusion for the partial result of the time realm fusion,and thus final verdict result is decided.
Keywords:Neural networks  fusion monitoring  pit bottom  sensor
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