How can a delivery robot reliably determine its position? This project explores accurate self-localization using Kalman-filter-based sensor fusion. By combining GPS, IMU, LiDAR, and odometry measurements, the robot can estimate its position more reliably than with any single sensor alone.
I entered the project in Germany’s Jugend forscht science competition again and won another regional title. It also forms the basis of my W-Seminar research paper, which provides further details on the approach and findings.