Stars
Satellite Positioning Data for Complex Urban Scenarios.
LF-GNSS: A Fundamental Framework for Exploring Learning and Filtering Integration in GNSS
Super Efficient Attitude Estimator on Xilinx Zynq-7000 FPGA
Tutorial for ION GNSS 2025 Factor Graph Tutorial
GREAT-PVT: Precision Positioning and Navigation Software by Wuhan University GREAT Group
Lecture page for AAE4011, Semester 2, 2024-2025
A novel Real-time Kinematic positioning architecture with Enhanced Velocity Constraints (RTK-EVC) via Factor Graph Optimization in GNSS-challenged Environments.
A-hybrid-particle-stochastic-map-filter
Illustrations for manifold learning in Wasserstein space
Tightly-coupled Visual/Inertial/Map Integration with Observability Analysis for Reliable Localization of Intelligent Vehicles
Joinied Positioning and Control Model Based on Factor Graph Optimization (FGO)
An Optimization-Based GNSS/INS Integrated Navigation System
A novel architecture in which the Factor Graph Optimization (FGO) is hybrid with the Extended Kalman Filter (EKF) for tightly coupled GNSS/UWB integration with online Temporal calibration (FE-GUT).
iG-LIO: An Incremental GICP-based Tightly-coupled LiDAR-inertial Odometry
Minimal Solvers for Quadratic Pose Estimation Problems (QPEPs)
Equivariant Filter implementation for attitude, gyroscope bias and calibration estimation. From "Overcoming Bias: Equivariant Filter Design for Biased Attitude Estimation with Online Calibration"
Source code for examples in Book "Robust Adaptive Dynamic Programming"
C++ library to implement invariant extended Kalman filtering for aided inertial navigation.
Lightweighted graph optimization (Factor graph) library.
这是一个用QT写的周易图形界面，用于模拟蓍草法的起卦过程，以便您对中国传统哲学的数学原理有更好的认识。
An Open-source Package for GNSS Positioning and Real-time Kinematic Using Factor Graph Optimization
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping