Unmanned aerial vehicle protection method and device and unmanned aerial vehicle

Abstract

The embodiment of the invention relates to an unmanned aerial vehicle protection method selection method and an unmanned aerial vehicle. The method comprises the following steps: firstly, when the positioning system of the unmanned aerial vehicle fails, switching the unmanned aerial vehicle to an attitude mode, then controlling the unmanned aerial vehicle to reduce the height of the unmanned aerial vehicle in the attitude mode, and then controlling the unmanned aerial vehicle to land safely when the acquired ground environment information meets a preset landing condition. According to the method, after the unmanned aerial vehicle positioning sensor fails, the unmanned aerial vehicle can safely and stably land on the ground, the probability of explosion of the unmanned aerial vehicle is reduced and the flight safety of the unmanned aerial vehicle is improved.

Description

【Technical field】 [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to a method and device for protecting an unmanned aerial vehicle, and an unmanned aerial vehicle. 【Background technique】 [0002] With the continuous development of unmanned aerial vehicle aerial photography technology, more and more consumer-grade unmanned aerial vehicles are also being produced and developed. Unmanned aerial vehicles are also gradually gaining popularity. There are many ways to control unmanned aerial vehicles, such as through remote control, mobile phone, computer and other mobile terminals. [0003] However, during the flight of the UAV, it mainly relies on the position coordinates provided by GPS to control the position outdoors, and mainly relies on the position provided by the binocular vision algorithm to control the position indoors. When GPS and binocular vision are effective, it can Ensure that the position of the aircraft in any sky ...

AI Technical Summary

Problems solved by technology

However, the working environment of drones is more complicated. In areas with interference, the GPS signal will become very poor, and even the aircraft will not receive GPS signals. When the weather is relatively bad, the binocular vision positioning method will also be greatly affected.

When both the GPS and binocular vision positioning methods fail, the UAV will switch the flight mode from the position mode to the attitude mode through the state controller. However, the attitude mode has the characteristics of random floating around, and there is a possibility of bombing at any time, which is very dangerous.

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