3d Mapping
Showing 31 of 31 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.
A minimal Vue.js project template for building 3D GIS applications with Mars3D.
A demonstration application showing how to integrate Cesium 3D mapping with the latest Angular framework.
A collection of reusable code snippets for developing and debugging 3D applications with the ArcGIS API for JavaScript.
React component wrapper for ArcGIS JS API 4.x SceneView to create 3D geographic scenes.
A React-based camera control interface for 3D web applications built with the ArcGIS JavaScript API.
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