Collision avoidance is a critical problem for Unmanned Aerial Vehicles (UAVs) for its wide application. We proposed a vision based collision avoidance approach for UAVs, based on potential field method. By exploring human navigation model, the potential field is designed over the UAV's heading using the relative heading to the goal and to obstacles, the distance to the goal, and the expansion rate of obstacles. This method is independent of any information of obstacles, and controls the UAVs heading directly away from the obstacle and towards the goal. The simulation results show that the paths are smooth and much more optimal and robust compared with the model with angular width.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Expansion rate based collision avoidance for Unmanned Aerial Vehicles


    Contributors:
    Xin, Lei (author) / Xiangke, Wang (author) / Jie, Li (author) / Guozhong, Zhang (author) / Lincheng, Shen (author)


    Publication date :

    2015-07-01


    Size :

    362926 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    APPARATUSES AND METHODS FOR UNMANNED AERIAL VEHICLES COLLISION AVOIDANCE

    QIU GENLIANG / WANG XIN / WU GUIYANG et al. | European Patent Office | 2022

    Free access

    APPARATUSES AND METHODS FOR UNMANNED AERIAL VEHICLES COLLISION AVOIDANCE

    QIU GENLIANG / WANG XIN / WU GUIYANG et al. | European Patent Office | 2023

    Free access

    APPARATUSES AND METHODS FOR UNMANNED AERIAL VEHICLES COLLISION AVOIDANCE

    QIU GENLIANG / WANG XIN / WU GUIYANG et al. | European Patent Office | 2021

    Free access

    ON-GROUND VEHICLE COLLISION AVOIDANCE UTILIZING UNMANNED AERIAL VEHICLES

    CECCOM CHRISTOPHE | European Patent Office | 2018

    Free access

    System and method of collision avoidance in unmanned aerial vehicles

    KUBE ALEXANDER J | European Patent Office | 2021

    Free access