摘要
D-S证据理论在多信息融合中的应用要求各证据间相互独立 ,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理论的推广方法以理解决融合信息的相关性问题 ,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 Dempster Shafer evidential reasoning is based on information’s independence. 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. As an applied instance, a test is tried out for object assortment based on the fusion of information from robot force and thermal sensors.
出处
《传感技术学报》
CAS
CSCD
2000年第3期177-182,共6页
Chinese Journal of Sensors and Actuators
基金
浙江省自然基金资助项目
关键词
相关证据
信息融合
机器人
多感觉
dependent evidence data fusion\ \ D-S evidential reasoning
