节点文献
基于D-S证据理论的月球探测机器人的信息融合
Lunar robot information fusion based on D-S evidence theory
【摘要】 为解决传统的D-S理论在判别传感器数据之间的相互关系时过于绝对化和经验化的问题,引入了互信因子的概念,用于表示不同证据间的相互支持程度,提高决策的可靠性.采用D-S证据理论实现了月球探测机器人的信息融合,并以障碍物检测为例进行了验证,实验结果表明了该方法的可行性和有效性.
【Abstract】 To solve unconditional and empirical problem in the relationship among sensor data in classical D-S evidence theory, mutual belief operator is introduced to describe the mutual support degree among evidences, which increases reliability of the decision. D-S theory is adopted in lunar robot’s information fusion. Experience is presented in obstacles detecting and results show the effectiveness and correctives of the method.
【关键词】 月球探测机器人;
D-S证据理论;
互信因子;
信息融合;
【Key words】 lunar robot; D-S evidence theory; mutual belief operator; linformation fusion;
【Key words】 lunar robot; D-S evidence theory; mutual belief operator; linformation fusion;
【基金】 国家高技术研究发展计划资助项目(863-2001AA422270)
- 【文献出处】 哈尔滨工业大学学报 ,Journal of Harbin Institute of Technology , 编辑部邮箱 ,2003年09期
- 【分类号】TP242
- 【被引频次】10
- 【下载频次】217