We present a novel approach for vehicle-pedestrian collision risk analysis that incorporates mutual situational awareness, a degree of potential motion coupling and the spatial layout of the environment. The approach uses a Dynamic Bayesian Network (DBN) for modeling the individual object paths; collision risk is subsequently computed by an intersection operation.


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    Title :

    Driver and pedestrian awareness-based collision risk analysis


    Contributors:


    Publication date :

    2016-06-01


    Size :

    1508579 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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