The invention provides a heavy-load unmanned aerial vehicle
landing point identification
processing method and
system based on
visual identification, and relates to the technical field of
computer vision, and the method comprises the steps: obtaining the
airflow speed direction and
airflow change data above a landing area of a heavy-load unmanned aerial vehicle, real-time
flight data, and an enhanced panoramic image; based on the initial positioning position of the heavy-load unmanned aerial vehicle, the initial coordinates of the preset landing area and the flight task parameters, generating an initial landing trajectory to determine a qualified
landing point position; based on the qualified
landing point position, the enhanced panoramic image, the
airflow velocity direction and the airflow change data, simulating a
fuselage stress
simulation result of the heavy-load unmanned aerial vehicle in the landing process; based on the qualified landing point position and the
fuselage stress
simulation result, obtaining corrected
flight data; and based on the qualified landing point position and the corrected
flight data, an optimized landing trajectory is obtained, and high-precision and high-stability landing control of the heavy-load unmanned aerial vehicle in a complex environment is realized.