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WHU-PCPR: A cross-platform heterogeneous point cloud dataset for place recognition in complex urban scenes
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Updated Dec 28, 2025
MATLAB codes for J. Duník, O. Straka, O. Kost, and J. Havlík, “Noise Covariance Matrices in State-Space Models: A Survey and Comparison of Estimation Methods – Part I”, International Journal of Ada…
a vio odometry including initial(visual sfm,imu integration,visual imu alin) and slidewindow optimization(by methods of non-linear optimization）)
VIO + VPS + DEM fusion with EKF (IMU-driven predict)
Multi-LiDAR Dataset on Degenerate and Dynamic Urban Scnarios
An extended Kalman filter for magnetic field SLAM
Elevate your AI research writing, no more tedious polishing ✨
A simple Factor Graph Optimization Library
Python tutorials for my talk: "Introduction to GTSAM: Factor Graph Optimization for (Visual) SLAM"
Control adaptive filters with neural networks.
A robust LiDAR-inertial odometry based on Fast-LIO2 with an Extended Risk-Sensitive Filter (ERSF) backend for non-Gaussian noise handling.
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
This repo is the official code of paper "Practical Implementation of KalmanNet for Accurate Data Fusion in Integrated Navigation"
Algorithms for fault detection of stochastic systems in multiple model framework
Implementing transformer-based neural networks for 6-DoF pose estimation from single IMU sensor data. The project demonstrates how transformers can effectively predict both position and orientation…
A neural network that predicts a drone's position from the IMU, Barometer, and Magnetometer measurements
本项目实现了三种室内定位方法：基于UWB基站的几何距离定位、基于IMU传感器的行人航迹推算，以及基于信号强度指纹识别的数据库匹配定位。系统采用Python和C++混合开发，包含数据处理、算法实现和可视化功能。几何距离定位使用非线性最小二乘法进行位置解算；航迹推算实现姿态解算和步态检测；数据库匹配采用KNN算法进行位置估计。项目结构清晰，模块化设计，适用于室内定位技术的教学和研究。
UWB Indoor Positioning
Lecture page for AAE4011, Semester 2, 2025-2026
A C++ port of the MathematicalRobotics library