g2o: A General Framework for Graph Optimization

Python binding of SLAM graph optimization framework g2o

Educational/research monocular visual odometry implementation with ORB features, initialization, tracking, local mapping, and bundle adjustment in C++.

ROS 2 package of tightly-coupled lidar inertial ndt/gicp slam

(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping

A CUDA implementation of Bundle Adjustment

SE(2)-Constrained Localization and Mapping by Fusing Odometry and Vision (IEEE Transactions on Cybernetics 2019)

Python implementation of Graph SLAM

A simple slimmed down mono slam implementation

vslam

A exercise of BA, ubuntu20, opencv4+, eigen3.3.7+

Graph SLAM (16833 SLAM Project at CMU)

Visual SLAM learning and training

Some Study Codes and Projects about SLAM

A .Net wrapper for the G2O (graph-based optimization) library

This repo contains several concepts and implimentations of computer vision and visual slam algorithms for rapid prototyping for reserachers to test concepts.

A ROS package for 2-D pose graph SLAM using open karto package for the front-end and g2o solver for the back-end.

Simple implementation of Stereo SLAM system on KITTI dataset using Dense feature sampling and 3D-2D PnP localization, loop closure and g2o pose graph optimization.

Akamai Signature Header Authentication (G2O) for HAProxy, NGINX, Apache and other servers supporting LUA language.

Basic Sparse-Cholesky Graph SLAM solver implemented in python