Pose estimation measured by the camera is increasingly used in helicopter landing. We present a pose estimation algorithm for autonomous landing. You Only Look Once (YOLO) algorithm is extended to estimate the 6-demensional relative position and attitude. We modify the structure by reducing the layer of network and adding a full connect layer to output the relative position and attitude. The traditional method such as Oriented FAST and Rotated BRIEF (ORB) and Perspective-n-Point (PNP) is also studied. Compared with them, modified YOLO method preforms better on the accuracy of pose estimation.


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    Title :

    Pose Estimation Algorithm for Helicopter Landing Based on YOLO and PNP


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Yu, Xiang (editor) / Zhou, Rui (author) / She, Jiayu (author) / Qi, Naiming (author) / Yu, Long (author) / Liu, Yanfang (author)


    Publication date :

    2021-10-30


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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