Multisensor Data Fusion Based on Dempster  Shafer Evidential Reasoning and its Application

Luo Zhizeng                          Jiang Jingping

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Multisensor Data Fusion Based on Dempster Shafer Evidential Reasoning and its Application

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- Multisensor Data Fusion Based on Dempster Shafer Evidential Reasoning and its Application
- Acta Electronica Sinica Issue 9, Pages: 100-102(1999)
- 作者机构：
  
  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
  3. 杭州电子工业学院机器人所!杭州310037浙江大学电机系,杭州,310027
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP212
- Published：1999
- 稿件说明：
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[1]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(09):100-102.

Luo Zhizeng Jiang Jingping. Multisensor Data Fusion Based on Dempster Shafer Evidential Reasoning and its Application[J]. Acta Electronica Sinica, 1999, (9): 100-102.
[1]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(09):100-102. DOI：

Luo Zhizeng Jiang Jingping. Multisensor Data Fusion Based on Dempster Shafer Evidential Reasoning and its Application[J]. Acta Electronica Sinica, 1999, (9): 100-102. DOI：

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，并以机器人的力觉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．

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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