Unmanned aerial vehicles (UAVs) can provide vision at high altitude. In this paper, multi-UAVs and ground vehicle are utilized to explore a complex environment with obstacles. The desired UAV formation is proposed around ground vehicle to provide wider vision. The Interfered Fluid Dynamical System (IFDS) method is utilized to guide UAVs avoid obstacles, while the desired formation need be maintained. Then formation control scheme of multi-UAVs is updated to combine with IFDS method according to original formation and obstacles avoidance. Simulation results shows that multi-UAVs can avoid obstacles and maintain the desired formation around ground vehicle during exploration.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Air-ground cooperative exploration of 3D complex environment with maximized visibility and obstacles avoidance


    Beteiligte:
    Wu, YuXuan (Autor:in) / Wang, Jing (Autor:in) / Zhou, Meng (Autor:in) / Dong, Zhe (Autor:in) / Chen, YangQuan (Autor:in)


    Erscheinungsdatum :

    15.06.2021


    Format / Umfang :

    1571609 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    STATIONARY COMPLEX FOR DETECTING OBSTACLES IN RESTRICTED VISIBILITY

    MYLNIKOV PAVEL DMITRIEVICH / KOROLEV IVAN NIKOLAEVICH / GLAZYRIN ALEKSANDR OLEGOVICH et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    Avoidance of obscured roadway obstacles

    CAVENEY DEREK S | Europäisches Patentamt | 2022

    Freier Zugriff

    AVOIDANCE OF OBSCURED ROADWAY OBSTACLES

    DEREK S CAVENEY | Europäisches Patentamt | 2020

    Freier Zugriff

    Effective Assessment of Environment Adaptive Warning Timing Based Visibility of Forward Obstacles

    Hiraoka, T. / Nakata, K. / Tanaka, M. et al. | British Library Conference Proceedings | 2007


    Effective Assessment of Environment Adaptive Warning Timing Based on Visibility of Forward Obstacles

    Hiraoka, T. / Nakata, K. / Tanaka, M. et al. | British Library Online Contents | 2008