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  • 1
    Online Resource
    Online Resource
    KIT Scientific Publishing
    UID:
    edoccha_9959145967202883
    Format: 1 electronic resource (XX, 159 p. p.)
    ISBN: 1000053685
    Series Statement: Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
    Content: To avoid accidents, warning driver assistance systems require an on-line estimation of the current risk of collision. For that, a new method is proposed that – in principle – is able to deal with arbitrary traffic situations. This is achieved by the use of generative models to describe the expected driver behavior. Corresponding user studies in real traffic show promising results even when real time constraints are taken into account.
    Note: German
    Additional Edition: ISBN 3-7315-0508-8
    Language: German
    Library Location Call Number Volume/Issue/Year Availability
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