摘要
以目标识别为背景,详细阐述了Dempster-shafer(D-S)证据理论方法的原理、多传感器信息融合的实现方法.并以多感觉智能机器人为载体,运用递归集中式融合方法测量数据结构中的互不相容元素对目标进行识别.从识别结果可以看出,这是一种识别目标的有效方法.
Take the target identification as background, the principle of D-S evidence theory and the method of the multisensor information fusion were elaborated in detail. And the multi-feeling intelligent robot was taken as the carrier,the target was identified by using recursion centralization fusion method to measure compatible elements in data structure. Seen from the recognition result, it is an effective method of identifying targets.
出处
《武汉工程大学学报》
CAS
2009年第1期73-75,共3页
Journal of Wuhan Institute of Technology
基金
2008年度湖北省教育厅重点科研项目(D20081504)
关键词
目标识别
证据理论
信息融合
target identification
evidence theory
information fusion
