3d Mapping
Showing 26 of 26 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.
A robust LiDAR odometry pipeline that works out-of-the-box without parameter tuning for accurate robot localization.
An R package for creating stunning 2D and 3D maps and data visualizations using raytracing, hillshading, and ggplot2 integration.
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.
Fast and optimized LiDAR odometry and mapping for real-time indoor/outdoor robot localization, achieving up to 3x speedup over prior methods.
A 3D segment-based mapping library for robot localization, environment reconstruction, and semantics extraction using LiDAR data.
A real-time 3D map renderer for visualizing OpenStreetMap data with WebGL2, featuring eye-candy graphics and on-the-fly geometry generation.
A tightly coupled 3D LiDAR-inertial odometry and mapping system for real-time robot localization and mapping.
An efficient LiDAR-based semantic SLAM system that builds 3D semantic maps from laser scans.
An open-source 3D LIDAR-based mapping framework for semi-automatic, interactive correction of SLAM mapping failures.
Real-time 3D semantic mapping system using a handheld RGB-D camera, built on ROS with ORB_SLAM2 and PSPNet.
A simple, robust, and accurate 3D LiDAR SLAM system designed to just work.
A robust system for multi-LiDAR extrinsic calibration, real-time odometry, and mapping without manual intervention.
A C++11 library for efficient robotic localization and mapping, designed for low-resource hardware like Raspberry Pi.
C++ libraries for multi primitive-to-primitive ICP algorithms and flexible point cloud processing pipelines.
ROS2 package for 3D occupancy grid mapping using OctoMap, enabling real-time environment modeling.
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