Method for measuring unmanned aerial vehicle hovering accuracy based on unmanned aerial vehicle hovering video

Abstract

The invention discloses a method for measuring unmanned aerial vehicle hovering accuracy based on an unmanned aerial vehicle hovering video. The method comprises the following steps of processing theunmanned aerial vehicle hovering video to acquire all frames of the video, wherein each frame of image selects left lower points of the unmanned aerial vehicle body as measurement reference points, and the selected reference points are calculated and analyzed; and then, using a unmanned aerial vehicle size information and proportion relation to calculate and acquire the unmanned aerial vehicle hovering accuracy. In the method, one common camera which can shoot the video is only needed, an auxiliary tool and a professional measuring tool are not needed, cost is low, the method is simple and high-efficient, measurement precision is guaranteed, experiment measurement can be completed during normal days, and a requirement to measurement time is weak.

Description

technical field [0001] The invention relates to the technical field of UAV testing, and more specifically relates to a method for measuring the hovering accuracy of a UAV based on a UAV hovering video. Background technique [0002] At present, the small drone industry is developing more and more rapidly, and the application fields of drones are becoming more and more extensive. Many systems can be carried on drones to use their maneuverability to achieve remote sensing and detection. Some of these systems, such as SAR imaging systems, millimeter wave Radiometers, etc. have high requirements for the hovering accuracy of drones, so it is very important to analyze and measure the hovering accuracy of drones. However, the hovering accuracy data provided by existing brands of drones are mostly measurement data in specific environments, which may not fully meet the system’s working accuracy requirements in various environments. Hover accuracy is measured. In addition, for UAVs s...

AI Technical Summary

Problems solved by technology

However, the measurement method has the following two disadvantages: ① There are requirements for the shooting environment. Generally, it is necessary to choose to conduct experiments at night or in places with weak light. Too much light during the day will affect the effect of the drone carrying the light source.

② Higher requirements are placed on the quality of the camera. Generally, there will be glare, light bands and spots in the shooting light source of the middle and low-end cameras, which will affect the subsequent image processing and thus affect the measurement accuracy.

However, its measurement method has the following two disadvantages: (1) Ultrasonic sensors and high-precision GPS modules and other professional measurement tools are required, which are relatively expensive and difficult to obtain for general drone developers; (2) Conventional barometers are restricted Due to the limitation of the measurement principle, the measurement accuracy is not high

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