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基于D-S证据理论的移动机器人多超声波传感器信息融合方法 被引量:2

A Data Fusion Algorithm of Multi-Ultrasonic Sensors for Mobile Robots By Using D-S Theory
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摘要 采用多超声波传感器来获得履带式行走机器人的环境信息,并利用Dempster-Shafer证据理论对获取的信息进行分析和融合,从而完成对周围环境的准确认识,试验结果表明效果良好,具有良好的使用价值。 In this paper, an ultrasonic sensor data fusion method for the caterpillar track robot is presented. The method is that the mobile robot analyses and fuses the messages in surroundings from multrultrasonic sensors by Dempster-Shafer theory to identify the object clearly and guide the mobile robot. The experimental results show that the method is effective.
出处 《长春理工大学学报(自然科学版)》 2005年第1期100-102,共3页 Journal of Changchun University of Science and Technology(Natural Science Edition)
基金 长春工业大学校内基金项目
关键词 履带式行走机器人 超声波传惑器 信息融合 Dempster-Shafter理论 Caterpillar track robot Ultrasonic sensor Data fusion Dempster-Shafer theory
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