• DocumentCode
    3523288
  • Title

    Information fusion modal and multi-perception system

  • Author

    Rujie, Liu ; Baozong, Yuan

  • Author_Institution
    Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
  • Volume
    2
  • fYear
    1999
  • fDate
    18-22 Oct. 1999
  • Firstpage
    985
  • Abstract
    Data fusion techniques combine data from multiple sensors, and related information from associated databases, to achieve improved accuracies and more specific inferences than could be achieved by the use of a single sensor alone. Data can be combined at three levels: the raw data level, feature level and decision level. Furthermore, a general fusion modal is proposed and Dempster-Shafer fusion operator is introduced.
  • Keywords
    decision theory; information theory; sensor fusion; Dempster-Shafer fusion operator; data fusion; databases; decision level; feature level; information fusion modal; multiperception system; multiple sensors; raw data level; Biosensors; Data mining; Ear; Feature extraction; Image sensors; Information science; Sensor fusion; Sensor phenomena and characterization; Spatial databases; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 1999. APCC/OECC '99. Fifth Asia-Pacific Conference on ... and Fourth Optoelectronics and Communications Conference
  • Conference_Location
    Beijing, China
  • Print_ISBN
    7-5635-0402-8
  • Type

    conf

  • DOI
    10.1109/APCC.1999.820429
  • Filename
    820429