There are 2 repositories under g2o topic.
g2o: A General Framework for Graph Optimization
A simple monocular visual odometry (part of vSLAM) by ORB keypoints with initialization, tracking, local map and bundle adjustment. (WARNING: Hi, I'm sorry that this project is tuned for course demo, not for real world applications !!!)
A CUDA implementation of Bundle Adjustment
ROS 2 package of tightly-coupled lidar inertial ndt/gicp slam
Python implementation of Graph SLAM
Visual SLAM learning and training
This repo contains several concepts and implimentations of computer vision and visual slam algorithms for rapid prototyping for reserachers to test concepts.
Akamai Signature Header Authentication (G2O) for HAProxy, NGINX, Apache and other servers supporting LUA language.
Basic Sparse-Cholesky Graph SLAM solver implemented in python
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.
Least Squares optimization of a 2D -Range Only- SLAM problem.
predicts the numbers of infected persons in China
This repository can be used to create point clouds using stereovision in the Blender environment
Stereo Visual Odometry using Kitti Dataset
my implimentiona and implimentation of visual based SLAM algorithms
Contains implmentation of Simple Visual Odometry with Stereo setup. Uses G2O, Sophus and Eigen.