The extraction of ground navigation line is one of the basic technologies of mobile robot visual navigation. Due to the shortcomings of traditional Hough transform and the least square method to extract navigation line, a new method of navigation line extraction based on edge detection is proposed in this paper, which includes three stages: image preprocessing, morphology de-noising and edge detection. First, using monocular camera to collect image of navigation line laid on the ground in advance and preprocesses the collected image, and then using morphology to remove separated points and empties, finally, detects the edge of the processed image, and calculates the slope of navigation line according to the calculated midpoints, then computed the deviated angle of the robot according to the slope and adjusted in real time in order to achieve navigation. Results of experiments show that the method has good feasibility.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A New Method of Extraction of Mobile Robot Navigation Line Based on Edge Detection



    Erschienen in:

    Advanced Materials Research ; 143-144 ; 482-486


    Erscheinungsdatum :

    2010-10-28


    Format / Umfang :

    5 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    An Edge-based Text Region Extraction Algorithm for Indoor Mobile Robot Navigation

    Jagath Samarabandu / Xiaoqing Liu | BASE | 2007

    Freier Zugriff

    Olfaction-based mobile robot navigation

    Marques, Lino / Nunes, Urbano / Almeida, Aníbal T. de | BASE | 2002

    Freier Zugriff

    Fast Machine Vision Line Detection for Mobile Robot Navigation in Dark Environments

    Lech, Piotr / Okarma, Krzysztof / Fastowicz, Jarosław | Springer Verlag | 2015


    Hybrid Object Detection Vision-Based Applied on Mobile Robot Navigation

    Velasquez-Aguilar, J. G. / Granados-Contreras, M. / Ramirez-Agundis, A. et al. | IEEE | 2015


    Indoor navigation mobile robot

    GUO WANJIN / ZHAO WUDUAN / BIAN WANLONG et al. | Europäisches Patentamt | 2020

    Freier Zugriff