摘要
用D-S(Dempster-Shafer)证据理论进行多信息融合有一个严格的要求,即要求各传感器所提供的证据相互独立。这在很多实际场合中却很难实现。本文简要地阐述了基于D-S证据理论的多传感器信息融合算法,提供了一种基于D-S理论的推广方法以解决信息融合的相关性问题。并用机器人的力觉和热觉传感器作实验,对该方法的有效性进行了研究。
Multisensor data fusion using Derapster-Shafer evidential reasoning is based on information's independence, but it is not true in many practical situations. This paper describes a multisensor data fusion method based on Dempster-Shafer evidential reasoning, and also gives a generalized Dempster-Shafer theory of evidence which is efficient in dealing with dependent, information. A test is tried out for object assortment based on the fusion of information from force and thermal sensors of the robot.
出处
《电子与信息学报》
EI
CSCD
北大核心
2001年第10期970-974,共5页
Journal of Electronics & Information Technology
基金
浙江省自然科学基金
关键词
相关证据
信息融合
证据理论
Dependent evidence, Data fusion, D-S evidential reasoning
