This paper bring forward a variational Bayes trajectory prediction algorithm based on Gaussian mixture trajectory model. It is assumed that the movement patterns of moving target can be statistically modeled by a common Gaussian mixture model, and this algorithm contains three main steps: 1.Data preprocessing. 2. Ttajectory model training. 3. Trajectory prediction. Meanwhile, this paper analysed the error of this algorithm, according to the real-world data set, the simulation result indicates that: Compared with EM prediction algorithm under the same parameter setting, the trajectory prediction accuracy of VB prediction algorithm is increased by 87.3% on average.


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    Titel :

    Trajectory Prediction Algorithm Based on Variational Bayes


    Beteiligte:
    Ma, Xiaolong (Autor:in) / Liu, Gang (Autor:in) / He, Bing (Autor:in) / Zhang, Kaijie (Autor:in) / Zhang, Xianyang (Autor:in) / Zhao, Xin (Autor:in)


    Erscheinungsdatum :

    2018-08-01


    Format / Umfang :

    219933 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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