As the illegal use of drones has emerged as a social issue, drone interception technology to directly strike a target has rapidly developed. However, existing methods using a fixed camera are often too slow to successfully strike the target, or may miss the target entirely. To address this issue, this paper proposes an interceptor flight guidance algorithm that tracks and strikes drones using a gimbal camera. First, artificial intelligence techniques detect the target on a real-time video stream from a gimbal camera. Next, the gimbal tracks the detected target so that it is centered in the image. Lastly, based on the pitch and yaw angles of the gimbal, the desired linear and angular velocity vector commands of the interceptor are generated to track and strike the target. To validate the proposed method’s performance, simulation environments based on a physics engine are established. We test the proposed method in two scenarios with different starting distances between the interceptor and the drone. At a far distance from the target, the proposed method strikes 4.4 s faster than the existing method. Moreover, when the distance is too close and the field of view is too limited, methods using a fixed camera fail to strike the target, whereas our method has a greater than 80% success rate. These results demonstrate that the proposed method strikes targets more efficiently and successfully.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Gimbal Camera-Based Flight Guidance for Striking Illegal Drones


    Additional title:

    Lect. Notes in Networks, Syst.


    Contributors:
    Park, Daehyung (editor) / Liu, Cunjia (editor) / Lee, Dae-Young (editor) / Kim, Min Jun (editor) / Lee, Hojun (author) / Lee, Kyuman (author)

    Conference:

    International Conference on Robot Intelligence Technology and Applications ; 2024 ; Ulsan, Korea (Republic of) December 04, 2024 - December 07, 2024



    Publication date :

    2025-07-16


    Size :

    15 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Virtual reality shooting camera gimbal with drones

    SONG KI JOON | European Patent Office | 2017

    Free access


    Smart Phone Gimbal for Drones

    LEE IL WOO / CHOI AN SHIK / CHOI SEUL KI et al. | European Patent Office | 2023

    Free access

    Camera gimbal

    KANG YOON-SEOK / PARK SUNGJIN / LIM BAESEOK | European Patent Office | 2018

    Free access

    GIMBAL, GIMBAL CAMERA, AND AERIAL VEHICLE

    TIAN HE / YU SHICHAO / GUO SHANGUANG et al. | European Patent Office | 2025

    Free access