Through some research on visual navigation mechanisms of flying insects especially honeybees, a novel navigation algorithm integrating entropy flow with Kalman filter has been introduced in this paper. Concepts of entropy image and entropy flow are also introduced, which can characterize topographic features and measure changes of the image respectively. To characterize texture feature and spatial distribution of an image, a new concept of contrast entropy image has been presented in this paper. Applying the contrast entropy image to the navigation algorithm to test its’ performance of navigation and comparing with simulation results of intensity entropy image, a conclusion that contrast entropy image performs better and more robust in navigation has been made.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    New bionic navigation algorithm based on the visual navigation mechanism of bees


    Beteiligte:
    Huang, Yufeng (Autor:in) / Liu, Yi (Autor:in) / Liu, Jianguo (Autor:in)

    Kongress:

    Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part II ; 2014 ; China,China


    Erschienen in:

    Erscheinungsdatum :

    13.04.2015





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Bionic visual navigation control system and method thereof for autonomous aerial refueling docking

    DUAN HAIBIN / SUN YONGBIN / DENG YIMIN et al. | Europäisches Patentamt | 2019

    Freier Zugriff

    Bionic visual navigation control system and method thereof for autonomous aerial refueling docking

    DUAN HAIBIN / SUN YONGBIN / DENG YIMIN et al. | Europäisches Patentamt | 2022

    Freier Zugriff