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

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    Easy3D

    Easy3D

    Efficient library for processing 3D data

    Easy3D is a lightweight, easy-to-use, and efficient library for processing and rendering 3D data, implemented in C++ with Python bindings. It is designed for tasks such as 3D modeling, geometry processing, and rendering, emphasizing simplicity and efficiency. Easy3D serves as a valuable tool for research, education, and the development of sophisticated 3D applications, providing a solid foundation for handling 3D data.
    Downloads: 217 This Week
    Last Update:
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  • 2
    FasterLIO

    FasterLIO

    Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry

    Faster-LIO is a lightweight, tightly coupled LiDAR-inertial odometry system for pose tracking and point-cloud mapping. It builds on FastLIO2 while replacing key spatial operations with parallel sparse incremental voxels. The design targets high update rates for both solid-state and spinning LiDAR sensors. It fuses LiDAR measurements with inertial data through an iterative Kalman-filter-based estimation pipeline. The software supports online ROS operation as well as offline processing of recorded bag files. ...
    Downloads: 0 This Week
    Last Update:
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