GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matr...
GTSAM Tutorial Examples
GTSAM modified to include Sim3 types.
A collection of GTSAM factors and optimizers for point cloud SLAM
An extension of gtsam to provide support for optimizing quadric landmarks
Estimates pose, velocity, and accelerometer / gyroscope biases by fusing GPS position and/or 6DOF pose with IMU data. The fusion is done using GTSAM's sparse nonlinear incremental optimization (ISAM2)...
FASTER-LIO-SAM: A SLAM system based on iVox and GTSAM.
lidar-slam,gtsam,vgicp,cuda,loop_finding,mapping.
Offline Simultaneous Localization and Mapping using GTSAM
Example of doing SFM (structure form motion) using OpenCV + GTSAM + PMVS
ORB-SLAM2 Library with an extension of GTSAM Factor Graph Streaming
Miscellaneous SLAM algorithms implemented by OpenCV, C++, Ceres, g2o, gtsam, Sophus libraries
Pose-graph SLAM with Open Karto as Front-end and GTSAM as Backend
Lidar localization system with prior map constraint and lio constraint based on GTSAM
lsd_slam modified to work with Gtsam, also read external gps measurements
State Estimation for SLAM: Filter(EKF, Particle Filter), MAP(GN, LM), Solver(Ceres-Solver, G2O, GTSAM), Bundle Adjustment
Simultaneous Mapping and Localization framework for drone