| 基于D-S理论的多信息融合方法及应用 |
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| 引用本文： | 罗志增,蒋静坪.基于D-S理论的多信息融合方法及应用[J].电子学报,1999,27(9):100-102. |
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| 作者姓名： | 罗志增 蒋静坪 |
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| 作者单位： | 1. 杭州电子工业学院机器人所,杭州,310037
2. 浙江大学电机系,杭州,310027 |
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| 摘 要： | 本文较系统地论述了基于Ｄｅｍｐｓｔｅｒ－ｓｈａｆｅｒ证据理论的多传感器信息融合算法,并以机器人的力学传感器和热觉传感器为研究对象,对目标物体进行分类识别实验,比较了融合前后的试验结果。
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| 关 键 词： | 机器人 传感器 信息融合 目标识别 |
Multisensor Data Fusion Based on Dempster-Shafer Evidential Reasoning and its Application |
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| Luo Zhizeng,Jiang Jingping.Multisensor Data Fusion Based on Dempster-Shafer Evidential Reasoning and its Application[J].Acta Electronica Sinica,1999,27(9):100-102. |
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| Authors: | Luo Zhizeng Jiang Jingping |
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| Abstract: | This paper describes a multisensor data fusion method based on Dempster shafer evidential reasoning.Using this method,we developed an object recognition system.As an applied instance,a test is made for object assortment on the fusion of robot force sensor and thermal sensor.At the end of the paper,test results and conclusion are given. |
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| Keywords: | Robot Sensor Data fusion Recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
