• DocumentCode
    1900215
  • Title

    I-SENSE: Intelligent Embedded Multi-Sensor Fusion

  • Author

    Klausner, Andreas ; Rinner, Bernhard ; Tengg, Allan

  • Author_Institution
    Inst. for Tech. Informatics, Graz Univ. of Technol.
  • fYear
    2006
  • fDate
    30-30 June 2006
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    I-SENSE demonstrates the potential of combining the scientific research areas multi-sensor data fusion and pervasive embedded computing. The main idea is to provide a generic architecture which supports a distributed online data fusion on an embedded system. Due to their high onboard processing and communication power our proposed architecture is designed to perform sophisticated data fusion tasks in realtime. Another goal of I-SENSE is to dynamically change the configuration, thus, to be able to react to changes in the systems environment. This paper describes ongoing work in developing necessary hard- and software components in order to perform realtime multi-level data fusion. We present the distributed I-SENSE platform and introduce our multi-level fusion framework. First experimental results on embedded image fusion demonstrates the feasibility of our approach
  • Keywords
    embedded systems; intelligent sensors; sensor fusion; ubiquitous computing; I-SENSE; distributed embedded systems; distributed online data fusion; embedded image fusion; embedded system; intelligent embedded multisensor fusion; multisensor data fusion; pervasive embedded computing; realtime multilevel data fusion; traffic surveillance; Competitive intelligence; Computer architecture; Embedded computing; Embedded system; Intelligent sensors; Pervasive computing; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Surveillance; distributed embedded systems; multi-level fusion; pervasive computing; sensor data fusion; traffic surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Solutions in Embedded Systems, 2006 International Workshop on
  • Conference_Location
    Vienna
  • Print_ISBN
    3-902463-06-6
  • Type

    conf

  • DOI
    10.1109/WISES.2006.329120
  • Filename
    4125771