This project is a 3D visual localization framework designed to determine a camera's exact position and orientation by matching 2D image features against a 3D reference model. It includes a structure-from-motion pipeline to reconstruct 3D scene geometry from unordered image sets, creating the necessary spatial maps for localization. The system employs a hierarchical coarse-to-fine localization approach. This process begins with a global-descriptor image retrieval system to identify candidate reference images from a large database and progresses through local feature matching to final 3D model
Use LiDAR to map the static world
The main features of edwardliuyc/staticmapping are: Simultaneous Localization and Mapping.
Open-source alternatives to edwardliuyc/staticmapping include: cvg/hierarchical-localization — This project is a 3D visual localization framework designed to determine a camera's exact position and orientation by… ethz-asl/maplab — A Modular and Multi-Modal Mapping Framework. ethz-asl/rovio. gogojjh/m-loam — Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration. gradslam/gradslam. berndpfrommer/tagslam — SLAM with apriltags.
