Automatic landing systems are not uncommon on civil aircraft, but they are not the aircraft itself can complete the landing, but rely on the airport’s airwaves to assist. In the general large airports and fixed-route aircraft, most have such equipment, but if the general civilian small airport and personal use of small propeller aircraft, it is rare. But with the use of machine learning in visual processing, driving the development of self-driving technology, researchers at the Technical University of Munich in Germany thought of using similar techniques on aircraft landings to create a gps-based navigation. With the assistance of visible and infrared photography, the aircraft can “see” the runway position on any day, and according to the shape of the runway, it can accurately calculate the current altitude and appearance, and according to this correction of the aircraft’s course, and finally accurate landing. It’s not just a concept – in fact, by the end of May, a preliminary system had successfully autonomously autonomously autonomously autonomously aimed at the mid-runway and landing on its own, completely without driving. Of course, there is still a long way to go before more aircraft are to be applied, even with the approval of the competent authorities, but this may provide a certain degree of automatic landing capability for all aircraft and airports, as well as the ability to fully automate small aircraft from take-off to landing in the future.