Convenient Power System Modelling and Analysis based on PYPOWER and pandas
-
Updated
Jul 4, 2024 - Python
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
AI-IMU Dead-Reckoning
Data Assimilation with Python: a Package for Experimental Research
Vehicle State Estimation using Error-State Extended Kalman Filter
Tutorials on data assimilation (DA) and the EnKF
Unscented kalman filter (UKF) library in python that supports multiple measurement updates
RINS-W: Robust Inertial Navigation System on Wheels
Unsupervised radar odometry combining deep learning with classical state estimation
Sensor fusion between IMU, GNSS and Lidar data using an Error State Extended Kalman Filter.
A state estimation package for Lie groups!
Code of paper "Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration with Rotating Earth"
Power System simulation tool to visualize the steady state power system operation, such as optimal power flow and state estimation. The functions also include generating false data injection (FDI) attacks and detect by using Moving Target Defence (MTD).
Probabilistic Contact State Estimation for Legged Robots in ROS
Physics Informed Deep Learning for Traffic State Estimation: Illustrations with LWR and CTM Models
An implementation of Neural Adaptive Sequential Monte Carlo (NASMC) using PyTorch
Pure static Lie groups in Numpy, Jax, and C++
This repo contains code and visualisation for "Robust moving target defence against false data injection attacks in power grids"
A compact Python package for handling ArUCo markers.
This is a simple simulator for a conveyor belt, with the purpose to enable research and test algorithms related to state estimation and tracking of objects on the conveyor.
Work related to the master thesis: Side-Scan Sonar Imaging and Error-State Kalman Filter Aiding Unmanned Underwater Vehicle (UUV) to Autonomy
Add a description, image, and links to the state-estimation topic page so that developers can more easily learn about it.
To associate your repository with the state-estimation topic, visit your repo's landing page and select "manage topics."