In recent years, intelligent driving industry booming, accurate positioning in the intelligent driving is particularly important for automatic parking vehicle positioning inaccurate problem in the process, is proposed based on the multisensor fusion positioning method of ultrasonic and visual, according to the ultrasonic and visual sensor provides real-time information, application of extended kalman filter in combination with weighted fusion method, Update vehicle location information during parking. Simulation and test results show that the proposed fusion location method can provide more accurate real-time vehicle location and more accurate location information for planning and control.


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    Titel :

    Multi-sensor fusion positioning


    Beteiligte:
    Lu, Zimo (Autor:in) / Xu, Yanli (Autor:in)

    Kongress:

    ISCTT 2022 - 7th International Conference on Information Science, Computer Technology and Transportation ; 2022 ; Xishuangbanna, China


    Erschienen in:

    Erscheinungsdatum :

    01.01.2022


    Format / Umfang :

    5 pages



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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