Robust ego-localization is an essential technology for future intelligent vehicles and cooperative applications. In this paper a new localization algorithm based on IBEO AS Laserscanners and high accuracy digital maps is proposed. Algorithms to create accurate grid maps with Laserscanners and the extraction of static objects used as landmarks for ego-localization is introduced. The key problem in landmark navigation in urban areas is the localization of landmarks in distance profiles of a Laserscanner. A fast algorithm is presented, that associates landmarks with data of a Laserscanner which is robust against large rotational, and translational position errors. A position correction algorithm determines the vehicles ego position in WGS-84 coordinates also often used by GPS and navigation maps.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Precise ego-localization in urban areas using Laserscanner and high accuracy feature maps


    Beteiligte:
    Weiss, T. (Autor:in) / Kaempchen, N. (Autor:in) / Dietmayer, K. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    1036140 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Precise Ego-Localization in Urban Areas using Laserscanner and High Accuracy Feature Maps

    Weiss, T. / Kaempchen, N. / Dietmayer, K. et al. | British Library Conference Proceedings | 2005



    Improved Object Classification of Laserscanner Measurements at Intersections Using Precise High Level Maps

    Wender, S. / Weiss, T. / Dietmayer, K. et al. | British Library Conference Proceedings | 2005


    Using High-Definition maps for precise urban vehicle localization

    Bauer, Sven / Alkhorshid, Yasamin / Wanielik, Gerd | IEEE | 2016


    Parkplatzerkennung mit Laserscanner

    TCHOUAFFE SERGE | Europäisches Patentamt | 2018

    Freier Zugriff