This work proposes a system that utilizes infrastructure-mounted cameras to estimate the position and orientation of vehicles, generating and controlling paths based on this data. The Hybrid A* algorithm is used to plan paths, the Pure Pursuit method is used to follow these paths, and the YOLO11m-pose model is used to estimate pose. The proposed approach addresses the limitations of restricted visibility and enables reliable navigation in complex environments.


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    Title :

    Autonomous Driving Vehicle Control Using YOLO11-Based Pose Estimation with Infrastructure Sensors


    Contributors:


    Publication date :

    2025-02-24


    Size :

    781957 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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