Showing 14 of 14 projects
An open-source JavaScript library for creating high-performance 3D globes and 2D maps in web browsers.
A real-time, tightly-coupled lidar-inertial odometry package for robust robot localization and mapping.
A real-time monocular SLAM system that creates large-scale semi-dense maps using a fully direct approach without feature extraction.
A clean, simplified implementation of the LOAM algorithm for real-time LiDAR odometry and mapping using Eigen and Ceres Solver.
An efficient probabilistic 3D mapping framework based on octrees for robotics and computer vision applications.
A ROS package for real-time 6DOF SLAM using 3D LIDAR, featuring graph-based optimization with multiple sensor constraints.
An R package for creating stunning 2D and 3D maps and data visualizations using raytracing, hillshading, and ggplot2 integration.
A robust LiDAR odometry pipeline that works out-of-the-box without parameter tuning for accurate robot localization.
A C++ library for real-time metric-semantic SLAM, building semantically annotated 3D meshes from camera and IMU data.
A Vue 3.x component library for building 3D globes and maps with CesiumJS.
A modular C++ library implementing the Iterative Closest Point (ICP) algorithm for aligning 2D and 3D point clouds in robotics and computer vision.
A realtime LiDAR odometry and mapping (LOAM) method for state estimation and mapping using 3D lidar sensors like Velodyne VLP16.
A collection of high-performance GICP-based point cloud registration algorithms with multi-threaded and GPU-accelerated implementations.
A robust, real-time LiDAR odometry and mapping package optimized for Livox LiDARs with small fields of view.
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