In order to establish general principles in the topic of motion planning for fully-automated driving, an intuitive problem statement in the form of an Euler–Lagrange Model is derived and transformed into a corresponding Hidden Markov Model for global optimization. Geometric and topologic considerations lead to a probabilistic environment modelling in combination with the C² model and result in general conclusions about the structure of traffic situations.


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    Title :

    Geometrie und Topologie von Trajektorienoptimierung für vollautomatisches Fahren


    Contributors:
    Ruf, Miriam (author)

    Publication date :

    2018




    Type of media :

    Theses


    Type of material :

    Electronic Resource


    Language :

    Unknown