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A generic bias-correction method with application to scan-based localization

Yiming Ji*, Changbin Yu, Brian D.O. Anderson, Samuel P. Drake

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference Paperpeer-review

    3 Citations (Scopus)

    Abstract

    In previous work a method was proposed to determine the bias in localization algorithms using range or bearing data. In this paper the method is extended to be more generic; in particular, different types of measurement data are permitted, and there may be more measurements than there are variables to estimate. The method combines the Taylor series and Jacobian matrices to determine the bias, and leads to an easily calculated analytical bias expression, despite the general unavailability of analytic expressions for the solution of most localization problems. The method is used to estimate the bias in scan-based localization. Monte Carlo simulation results verify the performance of the proposed method in this context.

    Original languageEnglish
    Title of host publication2011 9th IEEE International Conference on Control and Automation, ICCA 2011
    Pages24-29
    Number of pages6
    DOIs
    Publication statusPublished - 2011
    Event9th IEEE International Conference on Control and Automation, ICCA 2011 - Santiago, Chile
    Duration: 19 Dec 201121 Dec 2011

    Publication series

    NameIEEE International Conference on Control and Automation, ICCA
    ISSN (Print)1948-3449
    ISSN (Electronic)1948-3457

    Conference

    Conference9th IEEE International Conference on Control and Automation, ICCA 2011
    Country/TerritoryChile
    CitySantiago
    Period19/12/1121/12/11

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