The next generation of driver assistance systems and highly automated driving functions are based on digital maps. In order to meet the high requirements on the correctness and up-to-dateness of this information, this work presents new automated methods to extract up-to-date map information from fleet data. The focus is on the inference of static intersection information from fleet data through machine learning and statistical methods


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    Title :

    Inferenz von Kreuzungsinformationen aus Flottendaten


    Contributors:


    Publication date :

    2017


    Size :

    1 Online-Ressource (XIX, 171 p.)



    Type of media :

    Book


    Type of material :

    Electronic Resource


    Language :

    German



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