With the rapid development of artificial intelligence and Unmanned Aerial Vehicle (UAV) field, navigation and positioning technology, motion control technology and multi-sensor fusion technology are closely used in various fields of UAV. The research of UAV path planning technology based on vision, through built-in light sources, can effectively overcome the problems such as signal blockage and complex environment in the cave environment, and improve the battlefield survival rate and mission completion rate of military UAV. Focusing on the application requirements of real-time navigation in the UAV cave environment, combined with the open-source distributed processing framework of ROS robot and the UAV perception system, this paper completes the design of functional modules of UAV positioning, mapping, planning, and control based on hardware equipment.


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    Titel :

    UAV Path Planning Based on Vision


    Beteiligte:
    Zhang, Le (Autor:in) / Chen, Junfeng (Autor:in) / Wu, Chao (Autor:in) / Qie, Qiuyue (Autor:in) / Jin, Yi (Autor:in)


    Erscheinungsdatum :

    13.10.2023


    Format / Umfang :

    2388574 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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