EKF Localization
Educational Tool
The Extended Kalman Filter (EKF) allows for robot localization based on non-linear motion and observation models. This project implements a simulation environment including a Graphical User Interface, developed as an educational tool for the course Applied Estimation at KTH Royal Institute of Technology.
Keywords: MATLAB, Extended Kalman Filter, Odometry, Landmarks, Probabilistic Robotics
Monte Carlo Localization
Educational Tool
The particle filter is an efficient algorithm for non-parametric state estimation which can be used for global robot localization. This project implements a simulation environment including a Graphical User Interface, developed as an educational tool for the course Applied Estimation at KTH Royal Institute of Technology.
Keywords: MATLAB, Particle Filter, Odometry, Landmarks, Probabilistic Robotics