The numerical potential field path planner is guaranteed to produce a path even if the start or goal is placed in an obstacle. If there is no possible way to get from the start to the goal without passing through an obstacle then the path planner will generate a path through the obstacle, although if there is any alternative then the path will do that instead. For this reason, it is important to make sure that there is some possible path, although there are ways around this restriction such as returning an error if the potential at the start point is too high. The path is found by moving to the neighboring square with the lowest potential, starting at any point in the space and stopping when the goal is reached. ; https://www.edusoft.ro/brain/index.php/brain/issue/view/19


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Figure 8. Potential at every point; it is highest in the obstacles and lowest at the goal-Design and Implementation of a Fully Autonomous UAV's Navigator Based on Omni-directional Vision System



    Erscheinungsdatum :

    2011-12-01


    Anmerkungen:

    BRAIN. Broad Research in Artificial Intelligence and Neuroscience 2(4) 5-13



    Medientyp :

    Sonstige


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




    Design and Implementation of a Fully Autonomous UAV's Navigator Based on Omni-directional Vision System

    Seyed Mohammadreza Kasaei / Kamal Jamshidi / Seyed Amir Monajemi | DOAJ | 2011

    Freier Zugriff

    BRAIN Journal - Design and Implementation of a Fully Autonomous UAV's Navigator Based on Omni-directional Vision System

    Seyed Mohammadreza Kasaei / Kamal Jamshidi / Seyed Amir Hassan Monajemi | BASE | 2011

    Freier Zugriff


    Development of the Omni Directional Intelligent Navigator

    Choi, S.K. / Yuh, J. / Takashige, G.Y. | Tema Archiv | 1995


    Autonomous vision-based landing of UAV’s on unstructured terrains

    Chatzikalymnios, Evangelos / Moustakas, Konstantinos | IEEE | 2021