To achieve a high acceptance by drivers Advanced Driver Assistance Systems (ADAS) have to consider the individual driver behavior. For example an ADAS should not intervene in a situation where drivers purposely cross road markings in harmless situations. To address this issue, a driver behavior characterization can be used to predict a driver's future trajectory based on his past behavior. In this paper, we present a method for driver behavior classification based on an inverse dynamic optimal approach and show how it can be applied to predict driver specific trajectories.


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    Title :

    Driver characterization & driver specific trajectory planning: an inverse optimal control approach


    Contributors:


    Publication date :

    2014-10-01


    Size :

    235231 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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