• DocumentCode
    776370
  • Title

    Bayesian filtering for location estimation

  • Author

    Fox, Dieter ; Hightower, Jeffrey ; Liao, Lin ; Schulz, Dirk ; Borriello, Gaetano

  • Author_Institution
    Univ. of Washington, Seattle, WA, USA
  • Volume
    2
  • Issue
    3
  • fYear
    2003
  • Firstpage
    24
  • Lastpage
    33
  • Abstract
    Bayesian-filter techniques provide a powerful statistical tool to help manage measurement uncertainty and perform multisensor fusion and identity estimation. The authors survey Bayes filter implementations and show their application to real-world location-estimation tasks common in pervasive computing.
  • Keywords
    Bayes methods; Kalman filters; sensor fusion; statistical analysis; ubiquitous computing; Bayesian filtering; Kalman filters; identity estimation; location estimation; measurement uncertainty; multisensor fusion; pervasive computing; statistical tool; Bayesian methods; Cameras; Filtering; Filters; Infrared sensors; Pervasive computing; Sensor systems; Sensor systems and applications; State estimation; Time measurement;
  • fLanguage
    English
  • Journal_Title
    Pervasive Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1268
  • Type

    jour

  • DOI
    10.1109/MPRV.2003.1228524
  • Filename
    1228524
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=776370