The work introduces design and comparison of different-brand methods for position localization of indoor mobile robots. Both the methods derive the robot relative position from a structure of the working environment based on measurements gathered by a TOF-based laser ranging system. The first presented method applies statistical description of the scene while the other one relies on a feature-based matching approach. Both the approaches provide method-specific behavior, which has been recognized in experiments with real data. The obtained results are compared and further improvements of the localization robustness via their combination are discussed.


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    Titel :

    Range scan-based localization methods for mobile robots in complex environments


    Beteiligte:
    Mazl, R. (Autor:in) / Kulich, M. (Autor:in) / Preucil, L. (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    458769 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Range Scan-Based Localization Methods for Mobile Robots in Complex Environments

    Mazl, R. / Kulich, M. / Preucil, L. et al. | British Library Conference Proceedings | 2001


    Hybrid Localization Solution for Autonomous Mobile Robots in Complex Environments

    Rebelo, Paulo M. / Valente, António / Oliveira, Paulo Moura et al. | Springer Verlag | 2024



    Scan Matching based Mobile Robot Localization

    최민용 | BASE

    Freier Zugriff

    Scan Matching based Mobile Robot Localization

    최민용 | BASE

    Freier Zugriff