This paper proposes a vehicle detection method based on inertial sensors. First, I conduct theoretical study and research on the current attitude detection scheme, initially select the type, model and number of sensors in the selected scheme, and initially set up the initialization of the inertial measurement unit and all modules of the embedded environment. Then I studied the multi-source data fusion algorithm in the attitude detection method, selected the most suitable algorithm for embedded system, and initially wrote and optimized the algorithm. Finally, a debugging platform is built to debug the parameters of the attitude detection system, and an experimental plan and an experimental test platform are designed to verify the accuracy and stability of the system's attitude detection.


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    Titel :

    Research on vehicle attitude detection method based on inertial sensor


    Beteiligte:
    Easa, Said (Herausgeber:in) / Wei, Wei (Herausgeber:in) / He, Ankang (Autor:in) / Zuo, Jianyong (Autor:in)

    Kongress:

    Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023) ; 2023 ; Hangzhou, China


    Erschienen in:

    Proc. SPIE ; 12790


    Erscheinungsdatum :

    2023-09-07





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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