This paper proposes a study on the autonomous driving of the boarding junction/departure mission, which is one of the representative facilities of an airport. To achieve this goal, route planning and moving technology are necessary to enable quick movement to the destination point. In order to achieve the goal, we propose a technology that accurately recognizes the target point of the aircraft door to be docked. To this end, we apply a technology that can recognize the aircraft door more accurately and quickly, using the YOLO algorithm, and minimize the difference in input image data according to various environments and times. Finally, we introduce a technique for linking the calculated target position with the controller.


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    Titel :

    Development of Autonomous Driving for Passenger Boarding Bridge (PBB) Through Aircraft Door Detection Based on YOLO Object Detection Algorithm


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Lee, Soon-Geul (Herausgeber:in) / An, Jinung (Herausgeber:in) / Chong, Nak Young (Herausgeber:in) / Strand, Marcus (Herausgeber:in) / Kim, Joo H. (Herausgeber:in) / Weon, Ihnsik (Autor:in) / Park, Beomchan (Autor:in) / Kim, Hyeon-Joong (Autor:in) / Park, Jong-Hyuk (Autor:in)

    Kongress:

    International Conference on Intelligent Autonomous Systems ; 2023 ; Suwon, Korea (Republic of) July 04, 2023 - July 07, 2023



    Erscheinungsdatum :

    21.04.2024


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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