This paper, based on Xilinx's FPGA core board, completes the control of the OV5640 camera, displaying the real-time captured images on an HDMI monitor. The YOLOv5 network, trained using the COCO dataset, is utilized as the core network, and DeepSORT is employed to track and record the status of civil aircraft targets. After identifying aircraft features, the position of the civil aircraft is estimated using the time interval between different frames and the pinhole imaging principle. The aircraft's current location is determined, and it is assessed whether the airport terminal staff need to be alerted to maintain vigilance.


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    Title :

    FPGA-Based Civil Aviation Aircraft Detection Process


    Contributors:
    Zhang, Xun (author) / Cheng, Hua (author) / Feng, Youquan (author) / Xiao, Wenhai (author) / Zhang, Yin (author) / Zhang, Xiaocong (author) / Yan, Zhuo (author)


    Publication date :

    2024-11-15


    Size :

    767307 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English