For successful operation in self-driving vehicle, we need to know its position on the map to navigate through the environment while keeping itself on the path. Here, we simulated vehicle steering, localization, and path tracking simultaneously. We have used a generalised workflow so that it can be used in other type of road curvature, map and control algorithms. For vehicle steering control, we designed pure-pursuit controller with given 2D map of path curvature and landmarks. For the purpose of estimation, extended kalman filter has been used. The results demonstrate the robustness of the proposed algorithm.


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    Titel :

    Simultaneous Vehicle Steering and Localization Using EKF


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Tripathi, Meenakshi (Herausgeber:in) / Upadhyaya, Sushant (Herausgeber:in) / Jain, Ankur (Autor:in) / Roy, B. K. (Autor:in)

    Kongress:

    International Conference on Deep Learning, Artificial Intelligence and Robotics ; 2019 ; Jaipur, India December 07, 2019 - December 08, 2019



    Erscheinungsdatum :

    2021-02-09


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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