Autonomous precision landing of unmanned aerial vehicles using fiducial optical markers

This paper deals with the design and implementation of a system for autonomous landing of an unmanned aircraft using image recognition technology. The main objective is to use ArUco markers as visual reference points that allow accurate localization and navigation during the landing process. A key part of the work is the integration of the OpenCV library for marker detection and image analysis with the ArduPilot platform, which provides flight control.