6D Pose Estimation is a technique used to estimate the position and orientation of objects, aiming to determine six variables: (x, y, z) coordinates and (roll, pitch, yaw) angles in 3 $D$ space. However, when analyzing aerial images of vehicles on roadways captured from high altitudes, estimating all six variables may be unnecessary. In this study, we propose a lightweight pose estimation method that focuses on estimating only the relevant 2D (x, y) coordinates and yaw angle for vehicles on the road. The proposed method optimizes traditional 6D Pose Estimation techniques for vehicle position and orientation estimation, enhancing computational efficiency and making it well-suited for real-time monitoring applications.


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    Titel :

    3-DoF Pose Estimation of Vehicles on the Road


    Beteiligte:
    Sung, Jaehyeon (Autor:in) / Jo, Kanghyun (Autor:in)


    Erscheinungsdatum :

    05.11.2024


    Format / Umfang :

    1389762 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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