Autonomous landing system for A Quadrotor using a vision-based approach

Autonomous landing system are indispensable for unlocking the complete potential of unmanned aerial vehicle (UAV) without the necessity of human intervention in various industrial and commercial applications. In this research, we present a quadrotor Landing system based on visual navigation. We investigated a method for safely landing a drone in scenarios where GPS signals are not available. This approach, enables an autonomous and efficient landing of UAV on a predetermined landing pad, which effectively minimizes the risks associated with the physical testing phase using a Gazebo-based simulation, our approach not only ensures the overall fulfilment of design requirements for the autonomous landing system but also provides a valuable tool for secure parameter adjustment. Finally, the simulation results conclusively demonstrate the robust and precise performance of our suggested landing system.