Sensor and data fusion in traffic management -- Bayesian inference for traffic management -- Dempster-Shafer evidential reasoning for traffic management -- Kalman filtering for traffic management -- State of the practice and research gaps.

    "Sensor and Data Fusion for Intelligent Transportation Systems introduces readers to the roles of the data fusion processes defined by the Joint Directors of Laboratories (JDL) data fusion model, data fusion algorithms, and noteworthy applications of data fusion to ITS. Additionally, the monograph offers detailed descriptions of three of the widely applied data fusion techniques and their relevance to ITS (namely, Bayesian inference, Dempster-Shafer evidential reasoning, and Kalman filtering), and indicates directions for future research in the area of data fusion. The focus is on data fusion algorithms rather than on sensor and data fusion architectures, although the book does summarize factors that influence the selection of a fusion architecture and several architecture frameworks"--


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Sensor and data fusion for intelligent transportation systems


    Beteiligte:

    Erschienen in:

    SPIE PM ; vol. no. 305


    Erscheinungsdatum :

    2019


    Format / Umfang :

    xviii, 235 Seiten


    Anmerkungen:

    Illustrationen
    Includes bibliographical references



    Medientyp :

    Buch


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    DDC:    388.3/12
    BKL:    55.80 Verkehrswesen, Transportwesen: Allgemeines





    Intelligent transportation systems

    CELLA CHARLES HOWARD | Europäisches Patentamt | 2024

    Freier Zugriff


    INTELLIGENT TRANSPORTATION SYSTEMS

    CELLA CHARLES HOWARD | Europäisches Patentamt | 2021

    Freier Zugriff