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Projects sharing features with RESPLE

10 open-source projects similar to asig-x/resple, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.

  • michaelgrupp/evoMichaelGrupp avatar

    MichaelGrupp/evo

    4,255View on GitHub↗

    evo is a Python framework for the evaluation of SLAM algorithms, robot odometry, and trajectory data. It serves as an analysis library for measuring drift and precision by calculating absolute and relative pose errors between estimated paths and ground truth references. The project provides a geometric alignment framework to correct rotation, translation, and scale between spatial trajectories, ensuring consistent error measurement. It includes specialized tools for odometry drift analysis and the processing of robotics data, including the ability to extract trajectory information from ROS ba

    Python
    View on GitHub↗4,255
  • hku-mars/fast-livo2hku-mars avatar

    hku-mars/FAST-LIVO2

    3,634View on GitHub↗

    FAST-LIVO2 is a LiDAR-inertial odometry framework and factor-graph SLAM implementation designed for real-time robot localization and 3D mapping. It functions as a multi-sensor fusion pipeline and state estimator that integrates LiDAR, inertial, and camera inputs to track a robot's position and orientation. The system employs a tightly-coupled sensor fusion approach to maintain stable navigation, particularly in degraded environments. It utilizes a voxel-based 3D mapping tool to organize point clouds into volumetric grids, which optimizes memory usage and search speed during spatial reconstruc

    C++3d-reconstructioncolored-point-cloudgaussian-splatting
    View on GitHub↗3,634
  • irapkaist/removertirapkaist avatar

    irapkaist/removert

    640View on GitHub↗

    Remove then revert (IROS 2020)

    C++
    View on GitHub↗640
  • molaorg/molaMOLAorg avatar

    MOLAorg/mola

    865View on GitHub↗
    C++computer-visioncxxcxx17
    View on GitHub↗865

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  • prbonn/kiss-slamPRBonn avatar

    PRBonn/kiss-slam

    521View on GitHub↗

    KISS-SLAM is a simple, robust, and accurate 3D LiDAR SLAM system that just works.

    Python
    View on GitHub↗521
  • prbonn/overlapnetPRBonn avatar

    PRBonn/OverlapNet

    730View on GitHub↗

    OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)

    Python
    View on GitHub↗730
  • robustfieldautonomylab/lego-loamRobustFieldAutonomyLab avatar

    RobustFieldAutonomyLab/LeGO-LOAM

    2,742View on GitHub↗

    LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

    C++
    View on GitHub↗2,742
  • cartographer-project/cartographercartographer-project avatar

    cartographer-project/cartographer

    7,883View on GitHub↗

    Cartographer is a cross-platform robotics library and framework for simultaneous localization and mapping in 2D and 3D spaces. It functions as a real-time mapping engine that constructs environmental maps while tracking a device's position and orientation using continuous sensor data processing. The system implements real-time SLAM to generate precise maps for autonomous navigation. It utilizes a localization system that determines a device's state within a mapped environment across different hardware platforms and sensor configurations. The framework covers spatial estimation through non-li

    C++
    View on GitHub↗7,883
  • tixiaoshan/lio-samTixiaoShan avatar

    TixiaoShan/LIO-SAM

    4,794View on GitHub↗

    LIO-SAM is a lidar inertial SLAM framework and tightly-coupled sensor fusion pipeline. It functions as a factor graph optimization engine that combines lidar scans and inertial measurement unit data to build 3D point cloud maps and estimate robot trajectories. The system integrates global position factors to align local coordinates with real-world data. It employs loop closure detection to identify previously visited locations, creating constraints in the optimization graph to correct accumulated global drift. The framework covers lidar inertial odometry, point cloud processing, and trajecto

    C++
    View on GitHub↗4,794
  • eperdices/lego-loam-sreperdices avatar

    eperdices/LeGO-LOAM-SR

    61View on GitHub↗

    This code is a fork from LeGO-LOAM-BOR to migrate LeGO-LOAM algorithm to ROS2.

    C++
    View on GitHub↗61