肖志宏, 罗志增, 叶明. 用证据理论实现多信息融合的一种改进算法[J]. 机器人, 2000, 22(1): 7-11.
引用本文: 肖志宏, 罗志增, 叶明. 用证据理论实现多信息融合的一种改进算法[J]. 机器人, 2000, 22(1): 7-11.
XIAO Zhi-hong, LUO Zhi-zeng, YE Ming. A INPROVED ALGORITHM OF REALIZING INFORMATION FUSION BY THE THEORY OF EVIDENCE[J]. ROBOT, 2000, 22(1): 7-11.
Citation: XIAO Zhi-hong, LUO Zhi-zeng, YE Ming. A INPROVED ALGORITHM OF REALIZING INFORMATION FUSION BY THE THEORY OF EVIDENCE[J]. ROBOT, 2000, 22(1): 7-11.

用证据理论实现多信息融合的一种改进算法

A INPROVED ALGORITHM OF REALIZING INFORMATION FUSION BY THE THEORY OF EVIDENCE

  • 摘要: 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融合信息的相关性问题.文中用机器人的力觉和热觉传感器数据作融合信息,对目标物体进行了分类识别试验.

     

    Abstract: 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.

     

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