This paper describes a probabilistic logic reasoning system for traffic scenes based on Markov logic network, whose goal is to provide a high-level interpretation of localisation and behaviour of a vehicle on the road. This information can be used by a lane assistant agent within driver assistance systems. This work adopted an egocentric viewpoint for the vision and the reasoning tasks of the vehicle and a qualitative approach to spatial representation. Results with real data indicate good performance compared to the common sense interpretation of traffic situations.


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    Title :

    Probabilistic Logic Reasoning about Traffic Scenes


    Contributors:


    Publication date :

    2011


    Size :

    12 Seiten





    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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