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doa-estimation-music

Estimation of direction of arrivals (DOA) using the MUSIC algorithm

dynamic_robot_localization

Point cloud registration pipeline for robot localization and 3D perception

easy-factor-graph

General purpose C++ library for managing discrete factor graphs

easy-factor-graph-gui

Nice Interactive application to handle undirected graphical models

ekf-with-python-code-example

https://automaticaddison.com/extended-kalman-filter-ekf-with-python-code-example/

evo

Python package for the evaluation of odometry and SLAM

factor-graph-slam-using-gtsam

fast_lio2

LiDAR Inertial SLAM

fast_lio_lc

The tight integration of FAST-LIO with Radius-Search-based loop closure module.

fast_lio_localization

A simple localization framework that can re-localize in built maps based on FAST-LIO.

fast_lio_slam

LiDAR SLAM = FAST-LIO + Scan Context

fusion-ekf

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

fusion-ekf-python

An extended Kalman Filter implementation in Python for fusing lidar and radar sensor measurements

fusion-ukf

An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.

g2o

g2o: A General Framework for Graph Optimization

gaussian-smoothing

Applying a gaussian kernel to filter noise time series.

gazebosensorplugins

Some Gazebo plugins to simulate UWB and magnetic sensors.

gazebo_ros_wireless_comm_lib

Wireless Communication Library adopted to Gazebo/ROS simulators

geneticalgorithmpython

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

glnumericalmodelingkit

Numerical modeling tools for Matlab and Objective-C

gnome-shell-extension-system76-power

System76 Power Management Extension

gnss_imu_odom_eskf

gnss_imu_odom_ESKF

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

graph-slam

Graph SLAM (16833 SLAM Project at CMU)

graphgnsslib

An Open-source Package for GNSS Positioning and Real-time Kinematic Using Factor Graph Optimization

graph_msf

A graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.

graph_slam_visualizer

pose graph visualization package for rviz

gtsam

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 matrices.

gtsam-in-ros

gtsam_fusion

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). The ROS (rospy) node is implemented using GTSAM's python3 inteface.