This paper proposes a practical optimal-time window-based path-planning approach for a fleet of autonomous vehicles. Specifically, autonomous vehicles in this work refers to fleet of tractors that performs spraying operations in a vineyard field. The approach involves two main steps. In the first step based on a behavior and actions of the tractors that mimic manual spraying operations, a linear integer programming (ILP) optimization model is constructed. The second step then seeks a solution for this MIP model to obtain paths for autonomous navigation of the tractors in a vineyard field. The simulation results on a real-world data collected using Google Maps application for Sula vineyards located in the Nashik region [1] is reported. The obtained results show effectiveness of the proposal with respect to manual operator driven fleet management.


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    Titel :

    Optimal Time-Window Based Formulation for Autonomous Vehicle Path Planning


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Patil, Bhagyesh (Autor:in) / Bhansari, Veer (Autor:in) / Jadhav, Vinoba (Autor:in)

    Kongress:

    Symposium on International Automotive Technology ; 2021



    Erscheinungsdatum :

    22.09.2021




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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