pySLAM-D is a real-time SLAM algorithm for UAV aerial stitching. Includes additional features and refactored code inspired by BU's implementation https://github.com/armandok/pySLAM-D
-
Updated
May 23, 2024 - Python
pySLAM-D is a real-time SLAM algorithm for UAV aerial stitching. Includes additional features and refactored code inspired by BU's implementation https://github.com/armandok/pySLAM-D
MS-Mapping: Multi-session LiDAR Mapping with Wasserstein-based Keyframe Selection and Balanced Pose Graph
Code release for "The Importance of Coordinate Frames in Dynamic SLAM", ICRA 2024
LIO_SAM for 6-axis IMU and GNSS.
[TMECH'2024] Official codes of the paper. PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation
Pure python implementation of minisam.
Pratice and example to solve the pose graph SLAM problem using GTSAM
IMU-based human skeletal pose estimation in C++11
Factored inference for discrete-continuous smoothing and mapping.
Custom simulator with my implementations of EKF-, UKF-, and Pose-Graph-SLAM
The tight integration of FAST-LIO with Radius-Search-based loop closure module.
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
Add a description, image, and links to the gtsam topic page so that developers can more easily learn about it.
To associate your repository with the gtsam topic, visit your repo's landing page and select "manage topics."