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基于多源数据车辆身份综合判定问题研究
引用本文:张佐,黄振尧,李志恒,盛洁,姚丹亚,朱济.基于多源数据车辆身份综合判定问题研究[J].交通与计算机,2009,27(3):12-15.
作者姓名:张佐  黄振尧  李志恒  盛洁  姚丹亚  朱济
作者单位:1. 清华大学,北京100084;清华信息科学与技术国家实验室(筹),北京100084
2. 清华大学,北京,100084
3. 清华大学,北京100084;北京自动化控制设备研究所,北京100074
基金项目:NSFC重点项目,面上项目,十一五科技支撑计划项目 
摘    要:根据2008北京奥运期间特种车辆通行管理需求,提出了研究基于多源数据综合判定车辆身份的必要性.在介绍该问题的技术要求、系统设计后,研究以RFID数据为线索对行驶中的车辆图像进行车标比对的问题,给出了算法设计,通过了实验验证.

关 键 词:多源数据  车辆身份判定  车标识别

Integrated Vehicle Identification Based on Multi-source Data
ZHANG Zuo,HUANG Zhenyao,LI Zhiheng,SHENG Jie,YAO Danya,ZHU Ji.Integrated Vehicle Identification Based on Multi-source Data[J].Computer and Communications,2009,27(3):12-15.
Authors:ZHANG Zuo  HUANG Zhenyao  LI Zhiheng  SHENG Jie  YAO Danya  ZHU Ji
Institution:Tsinghua University;Beijing 100084;China;TNList;China;Beijing Institute of Automatic Control Equipment;Beijing 100074;China
Abstract:Based on the surveillance and management demands emerging from vehicle access control within the central areas in Beijing Olympic Games,the necessity of the integrated vehicle identification based on multi-source data was proposed in this paper.Technical requirements was analyzed followed by a systematic design combined RFID identification and image understanding techniques.The active RFID logo-heck was focused,and the algorithm design was presented,which was verified.
Keywords:RFID
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