Power lines are conceivable obstacles for UAV applications, such as door-to-door delivery services. This paper proposes radar and image fusion for power line detections as part of the work to implement a UAV autopilot system. It employs an mm-wave automotive radar, and its parameters are optimized for power line detection. The image detection is utilized with YOLO for real-time objection detection, and its detection processes are modified to obtain a better recognition precision rate. Both radar and image detection systems are integrated under the LabVIEW environment. The experiments demonstrated that radar and image fusion enhances the power line detection rate.


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    Titel :

    Radar and Image Fusion for Power Line Detection in UAV Applications


    Beteiligte:
    Chang, Hsuan-Han (Autor:in) / Wang, Zhi-Xiang (Autor:in) / Lin, Jau-Jr (Autor:in)


    Erscheinungsdatum :

    23.07.2021


    Format / Umfang :

    1222975 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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