g2o: A General Framework for Graph Optimization
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Updated
Jun 24, 2024 - C++
g2o: A General Framework for Graph Optimization
Python binding of SLAM graph optimization framework g2o
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
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 !!!)
SE(2)-Constrained Localization and Mapping by Fusing Odometry and Vision (IEEE Transactions on Cybernetics 2019)
A CUDA implementation of Bundle Adjustment
A exercise of BA, ubuntu20, opencv4+, eigen3.3.7+
A .Net wrapper for the G2O (graph-based optimization) library
A simple slimmed down mono slam implementation
LIDAR SLAM for Autonomous Vehicles Playground
predicts the numbers of infected persons in China
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.
A ROS package for 2-D pose graph SLAM using open karto package for the front-end and g2o solver for the back-end.
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