design and implementation of a camera pose estimator using a known sized detected square. in this project we used Aruco markers but you can use any square else to estimate the camera position.

SLAM: Position estimation of vehicle and obstacles with Extended-Kalman and Particle filters in Matlab, using the System Identification Toolbox.

In this repository we will learn about an Arduino-based robot control and odometry project using wheel encoders for educational robotics exploration and data visualization with MATLAB.

Using multiple cameras to estimate the people's position. Works with OpenVINO toolkit.

Follows the online course "Navigation Algorithms and Position Estimation" by Dr. Yuri R.

This package contains the code to recognize the AruCo marker and correct the robot's position.