In motion planning for automated vehicles, a thorough uncertainty consideration is crucial to facilitate safe and convenient driving behavior. This work presents three motion planning approaches which are targeted towards the predominant uncertainties in different scenarios, along with an extended safety verification framework. The approaches consider uncertainties from imperfect perception, occlusions and limited sensor range, and also those in the behavior of other traffic participants


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    Title :

    Probabilistic Motion Planning for Automated Vehicles


    Contributors:


    Publication date :

    2021


    Size :

    1 Online-Ressource (194 p.)



    Type of media :

    Book


    Type of material :

    Electronic Resource


    Language :

    English




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