There are 7 repositories under gtsam topic.
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
LIO_SAM for 6-axis IMU and GNSS.
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
The tight integration of FAST-LIO with Radius-Search-based loop closure module.
ROS 2 package of tightly-coupled lidar inertial ndt/gicp slam
[TMECH'2024] Official codes of ”PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation“
A collection of GTSAM factors and optimizers for point cloud SLAM
For an education purpose, from-scratch, single-file, python-only pose-graph optimization implementation
[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
Offical code release for DynoSAM: Dynamic Object Smoothing And Mapping [Submitted TRO Visual SLAM SI]. A visual SLAM framework and pipeline for Dynamic environements, estimating for the motion/pose of objects and their structure, as well as the camera odometry and static map.
Factored inference for discrete-continuous smoothing and mapping.
Visual Inertial Odometry (VIO) / Simultaneous Localization & Mapping (SLAM) using iSAM2 framework from the GTSAM library.
Robust GNSS Processing With Factor Graphs
Lightweighted graph optimization (Factor graph) library.
learning and feeling SLAM together with hands-on-experiments
LIO-SAM-6AXIS with intensity image loop optimization
The full_linear_wheel_odometry_factor provides motion constraints and online calibration for skid-steering robots. This constraint can be incorporated into your SLAM framework. Here is an example video using this factor. https://youtu.be/Vss86xUhU80
Software Release for "Incremental Covariance Estimation for Robust Localization"
Code release for "Evaluation of Precise Point Positioning Convergence with an Incremental Graph Optimizer".
Lidar localization system with prior map constraint and lio constraint based on GTSAM
Custom simulator with my implementations of EKF-, UKF-, and Pose-Graph-SLAM
Code release for "The Importance of Coordinate Frames in Dynamic SLAM", ICRA 2024
Visual SLAM learning and training
iSAM2-based backend interface for 2D Pose Graph SLAM
Software release for "Enabling Robust State Estimation through Measurement Error Covariance Adaptation"
Sensor Fusion of noisy gps signals with IMU preintegration
My personal solution for "AirLab Summer School Session 2.2"
Simultaneous Mapping and Localization framework for drone
Simple ROS node for fusing lidar- and visual odometries with GTSAM
Offline Simultaneous Localization and Mapping using GTSAM
Developed and implemented 2D and 3D Pose Graph SLAM using the GTSAM library and Gauss Newton Solver on the Intel and Parking Garage g2o datasets respectively