Welcome to the Controll-UKF repository! This project is dedicated to implementing an Unscented Kalman Filter (UKF) for sensor fusion. The UKF is a powerful tool for state estimation, particularly in non-linear systems, and is widely used in various applications such as robotics, navigation, and tracking systems.
- Robust Sensor Fusion: Leverages the Unscented Kalman Filter to accurately combine data from multiple sensors.
- Non-linear State Estimation: Efficiently handles non-linear dynamics and measurements.
- Real-time Performance: Optimized for real-time applications.
- Extensible Framework: Easily adaptable to different types of sensors and systems.
To get started with Controll-UKF, you will need to clone the repository and install any necessary dependencies.
- Matlab 2019a or higher version
- List of libraries: libaries folder
git clone https://github.com/guangjun1997327/Controll-UKF.git
cd Controll-UKF
# Instructions for installing dependencies or setting up the environment