This paper addresses the problem of autonomous landing of UAV using position-based visual servoing (PBVS) approach. An autonomous landing strategy is proposed, utilizing marker detection with a downward-facing monocular camera, target pose estimation, and velocity command computation. Experiments are performed in both static and dynamic scenarios. The results validate the effectiveness of this approach, demonstrating successful UAV landing with an average accuracy of 0.0169 m, ensuring safety throughout the flight.


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    Title :

    Visual Servo Control-Based UAV Autonomous Landing


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Qu, Yi (editor) / Gu, Mancang (editor) / Niu, Yifeng (editor) / Fu, Wenxing (editor) / Xu, Zixuan (author) / Wang, Jing (author) / Wu, Wei (author) / Xie, Mingyang (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2023 ; Nanjing, China September 09, 2023 - September 11, 2023



    Publication date :

    2024-04-23


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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