Intelligent space was established in the highway area in order to detect vehicles and their state information using multi-sensor information fusion. A vehicle location and speed detection method with fixed cameras was proposed by applying Pin-hole imaging model and the principle of Coordinate Transformation; vehicle state information of multi-sensors was fused by the decision method of basic belief function, on the basis of D-S evidence theory in feature-level fusion. Finally, a data acquisition experiment of vehicle state information was carried out by using multi-sensor combination of fixed cameras and ground magnetic induction loops. Then, the collected vehicle state information of these two kinds of sensors was fused and analyzed. Results showed that the accuracy of this fusion method is 5% higher than the fixed cameras. Therefore, the information fusion can reduce the uncertainty of each sensor effectively and improve the detection accuracy of the vehicle state information in highway intelligent space.


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    Titel :

    Vehicle State Detection in Highway Intelligent Space Based on Information Fusion


    Beteiligte:
    Gao, Feng (Autor:in) / Liu, Jianxing (Autor:in) / Xu, Guoyan (Autor:in) / Guo, Kaixiang (Autor:in) / Cui, Ying (Autor:in)

    Kongress:

    The Twelfth COTA International Conference of Transportation Professionals ; 2012 ; Beijing, China


    Erschienen in:

    CICTP 2012 ; 2307-2318


    Erscheinungsdatum :

    2012-07-23




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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