2 projects for "3d point cloud processing" with 2 filters applied:

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    AB3DMOT

    AB3DMOT

    Official Python Implementation for "3D Multi-Object Tracking

    AB3DMOT is a real-time 3D multi-object tracking framework designed for applications such as autonomous driving and robotics perception. The system processes detection results from 3D object detectors that analyze LiDAR point clouds and uses them to track multiple objects across consecutive frames. Its tracking pipeline relies on a combination of classical algorithms, including a Kalman filter for state estimation and the Hungarian algorithm for data association between detected objects and existing tracks. ...
    Downloads: 0 This Week
    Last Update:
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  • 2
    3D-Machine-Learning

    3D-Machine-Learning

    A resource repository for 3D machine learning

    ...The repository includes references to important research papers covering topics such as point cloud processing, 3D reconstruction, shape analysis, and scene understanding. It also organizes links to university courses and other educational materials that explore machine learning methods for 3D data. Because the field is evolving rapidly, the repository functions as a continuously expanding knowledge base for researchers and developers studying 3D perception systems.
    Downloads: 0 This Week
    Last Update:
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