Comparing mobile robot localisation algorithms using Kalmtool

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    Abstract

    In this paper we present an estimation platform with simulation capabilities to evaluate methods for localisation of a mobile robot using a feature map. The platform is based on the Kalmtool 4 toolbox which is a set of MATLAB tools for state estimation of nonlinear systems. The toolbox contains functions for extended Kalman filtering as well as for the DD1 filter and the DD2 filter. It also contains functions for Unscented Kalman filters as well as three versions of particle filters. The toolbox requires MATLAB version 7, but no additional toolboxes are required.
    Original languageEnglish
    Title of host publicationProceeding of 15th IFAC Symposium on System Identification, SYSID 2009
    Publication date2009
    Publication statusPublished - 2009
    Event15th IFAC Symposium on System Identification (SYSID 2009) - Saint-Malo, France
    Duration: 6 Jul 20098 Jul 2009
    Conference number: 15

    Conference

    Conference15th IFAC Symposium on System Identification (SYSID 2009)
    Number15
    Country/TerritoryFrance
    CitySaint-Malo
    Period06/07/200908/07/2009

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