In this paper we show how the vision module can be divided to stationary and mobile object detection subsystems. According to the results, by active management of the robot image processing, the robot processing load is reduced and yet the accuracy of object tracking and self-localization is preserved. Our proposed conditional vision method is used to decrease the robot cognition cost.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Minimizing cognition cost using conditional vision for humanoid soccer robot


    Beteiligte:


    Erscheinungsdatum :

    01.04.2013


    Format / Umfang :

    446231 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Vision Based Self Localization for Humanoid Robot Soccer

    Widodo, Nuryono Satya / Rahman, Arif | BASE | 2012

    Freier Zugriff

    Location and Position Determination Algorithm For Humanoid Soccer Robot

    Utomo, Oei Kurniawan / Santoso, Daniel / Nugroho, Saptadi | BASE | 2016

    Freier Zugriff

    Colored Ball Position Tracking Method for Goalkeeper Humanoid Robot Soccer

    Rahman, Arif / Widodo, Nuryono Satya | BASE | 2013

    Freier Zugriff

    Soccer Ball Speed Estimation Using Optical Flow for Humanoid Soccer Player

    Castillo, E. H. / Beltran, Z. Z. / Zannatha, J. M. I. | IEEE | 2011


    Artificial Vision in the Nao Humanoid Robot

    González Sánchez, Tomás | BASE | 2009

    Freier Zugriff