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  • 1
    Online Resource
    Online Resource
    KIT Scientific Publishing
    UID:
    almahu_9949711259602882
    Format: 1 electronic resource (XIX, 171 p. p.)
    ISBN: 1000073704
    Series Statement: Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
    Content: 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.
    Note: German
    Additional Edition: ISBN 3-7315-0721-8
    Language: German
    Library Location Call Number Volume/Issue/Year Availability
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