Integrity monitoring of sources and process associated with localization systems used in autonomous navigation applications is of paramount importance. In this work, we present a novel source-level integrity monitoring method with a focus on generalization, scalability and versatility. A cross-consistency assessment based framework is developed to monitor the integrity of different spatial data sources. The proposed method is applied to several datasets, which demonstrates promising behavior of our integrity markers in identifying and quantifying unreliable data from sources. Several scenarios, which are normal occurrences in challenging driving conditions, are considered in the experiments and the advantages of the proposed integrity monitoring process are highlighted.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Integrity Assessment Framework for Multi-modal Vehicle Localization


    Beteiligte:


    Erscheinungsdatum :

    01.10.2019


    Format / Umfang :

    679951 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Multi-modal object detection and localization for high integrity driving assistance

    Rodríguez Flórez, S. A. | British Library Online Contents | 2014



    MULTI-MODAL MOVEMENT PLAN FRAMEWORK FOR AUTOMATIC DRIVING VEHICLE

    ZHANG YAJIA / LI DONG / ZHANG RANRAN et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    Multi-modal vehicle

    KARADIA NARENDRA H | Europäisches Patentamt | 2024

    Freier Zugriff

    Multi-modal vehicle

    BENEDICT MOBLE / DENTON HUNTER / HRISHIKESHAVAN VIKRAM | Europäisches Patentamt | 2023

    Freier Zugriff