High driver acceptance is believed to be an important aspect when introducing automated driving functionalities for prospective long vehicle combinations. The main hypothesis of this paper is that high driver acceptance can be realized by utilizing driver models inspired by human cognition as an integrated part of such functions. It is envisioned that the human driver will more easily understand, and trust, a system that behaves in a human-like manner.


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    Title :

    A driver model using optic information for longitudinal and lateral control of a long vehicle combination


    Contributors:


    Publication date :

    2014-10-01


    Size :

    654179 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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