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.
To solve unconditional and empirical problem in the relationship among sensor data in classical D-S (Dempster-Shafter) evidence theory, mutual belief operator is introduced to describe the mutual support degree among different evidences, which increases reliability of the decision. D-S evidence theory is adopted in the information fusion for lunar robot. Taking obstacle detection as an example to verify the effectiveness and correctives of the method is performed by experiment, and the result is satisfactory.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2003年第9期1040-1042,共3页
Journal of Harbin Institute of Technology
基金
国家高技术研究发展计划资助项目(863-2001AA422270)
