Unmanned aerial vehicle accurate landing control system and method based on dynamic two-dimensional code

Abstract

The invention discloses an unmanned aerial vehicle interactive accurate landing system and method based on a dynamic two-dimensional code. The system comprises an unmanned aerial vehicle and a base station, a first GPS module of the unmanned aerial vehicle collects the current position information of the unmanned aerial vehicle and transmits the current position information of the unmanned aerialvehicle to a first controller of the unmanned aerial vehicle, the first controller transmits the current position information of the unmanned aerial vehicle to a second communication module of the base station via the first communication module of the unmanned aerial vehicle, the second communication module of the base station transmits the received current position information of the unmanned aerial vehicle to a second controller of the base station, and the second controller of the base station adjusts the display quantity and the display size of the two-dimensional code according to the received current position information of the unmanned aerial vehicle to guide the unmanned aerial vehicle to stably land on a parking apron.

Description

technical field [0001] The present disclosure relates to the technical field of autonomous and precise landing of unmanned aerial vehicles, in particular to a control system and method for precise landing of unmanned aerial vehicles based on a dynamic two-dimensional code. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] UAV autonomous take-off and landing technology is an important part of realizing multi-rotor UAV outdoor deployment and automatic flight. Multi-rotor drones need to take off and land on aprons with a diameter of 1 meter or less. Therefore, precision landing technology is a technology that requires high precision in flight control technology. [0004] Before image recognition based on deep learning became popular, the conventional landing method was to rely on GPS positioning to assist landing, while the civilian-level GPS positi...

AI Technical Summary

Problems solved by technology

In this process, the apron pattern in the UAV lens changes from small to large, which poses certain difficulties to the detection method based on the fixed-size apron pattern

If the pattern of the apron is large, the UAV can see it clearly when hovering at a high place, but when it is at a low place, the UAV cannot see the complete pattern, only a part of it; if the pattern of the apron is small, The full pattern can be seen when the drone is hovering low, but it is likely not to be seen when the drone is hovering high

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