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一种新颖的多传感器行驶车辆分类系统
引用本文:张文斌,王祁,马松林,李新凯.一种新颖的多传感器行驶车辆分类系统[J].天津大学学报(自然科学与工程技术版),2008,41(2):194-198.
作者姓名:张文斌  王祁  马松林  李新凯
作者单位:[1]哈尔滨工业大学电气工程及自动化学院,哈尔滨150001 [2]哈尔滨工业大学交通科学与工程学院,哈尔滨150001
基金项目:黑龙江省交通厅基金资助项目
摘    要:提出了一种新颖的利用5个埋入式应变传感器获得车型特征参数的多传感器行驶车辆分类系统.该系统利用传感器的特殊位置分布与车辆各轴到达传感器时刻的相关性,对采集的信息进行像素级融合,突出信号的特征部分,提高特征提取的准确率和精度.最后利用D-S证据理论组合轴数、轴空间和轴重等特征证据对车型进行分类.实验结果表明该系统对行驶车辆识别率超过95%.

关 键 词:车辆分类  多传感器系统  融合算法  INS组合规则
文章编号:0493-2137(2008)02-0194-05
收稿时间:2006-11-10
修稿时间:2007-09-26

A Novel Multisensor System for Moving Vehicle Classification
ZHANG Wen-bin, WANG Qi, MA Song-lin, H Xin-kai.A Novel Multisensor System for Moving Vehicle Classification[J].Journal of Tianjin University(Science and Technology),2008,41(2):194-198.
Authors:ZHANG Wen-bin  WANG Qi  MA Song-lin  H Xin-kai
Institution:ZHANG Wen-bin, WANG Qi, MA Song-lin, H Xin-kai ( 1 .School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China;2. School of Science and Engineering on Communication, Harbin Institute of Technology, Harbin 150001, China)
Abstract:A novel multisensor system for moving vehicle classification using the vehicle feature parameters gained by five embedded concrete strain gages was put forward. First, the collected information was pixel-fused according to the pertinence between the special locations of the sensors and arrival time of the vehicles' axles. Thus the feature sections were reinforced, and the exactness and the accuracy of feature extraction were increased. The feature evidences of axle number, axle space and axle weight of the vehicles were then combined by the combination rule of D-S evidence theory, according to which, the vehicle types were classified finally. The result shows that over 95 % recognition rate of moving vehicle were gained using the proposed system.
Keywords:vehicle classification  multisensor system  fusion algorithm  D-S combination rule
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