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Fixed-point landing method for unmanned aerial vehicle

A UAV and algorithm technology, applied in the field of aircraft, can solve the problem that the UAV system cannot achieve high-precision and high-reliability fixed-point landing, achieve the effect of efficient fixed-point identification and landing, and ensure reliability and accuracy

Inactive Publication Date: 2018-12-25
HARBIN INST OF TECH AT WEIHAI
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The present invention is to solve the technical problem that the existing UAV system cannot realize high-precision and high-reliability fixed-point landing, and provides a UAV fixed-point landing method capable of high-precision and high-reliability fixed-point landing

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  • Fixed-point landing method for unmanned aerial vehicle
  • Fixed-point landing method for unmanned aerial vehicle
  • Fixed-point landing method for unmanned aerial vehicle

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Embodiment Construction

[0023] Referring to the accompanying drawings, the present invention will be further described in detail with specific embodiments.

[0024] Such as figure 1 As shown, the UAV fixed-point landing control system includes an infrared beacon module 10 and a UAV 20, and the UAV 20 includes a high frame rate infrared camera module 21 and a UAV flight control 22, and the high frame rate infrared camera module 21 is designed There are image processing modules and infrared cameras. The UAV flight controller 22 is connected and communicated with the high frame rate infrared camera module 21. The drone flight controller 22 is provided with a GPS navigation system.

[0025] Such as figure 2 with 3 As shown, the infrared beacon module 10 includes a base 11, the base 11 is provided with an MCU control unit 12 and a drive circuit, the drive circuit is connected with the MCU control unit 12, and a plurality of infrared emitting diodes 13 distributed on the base 11 are connected to the b...

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Abstract

The invention relates to a fixed-point landing method for an unmanned aerial vehicle, which solves the technical problem that an existing unmanned aerial vehicle system cannot realize high-precision and high-reliability fixed-point landing. The method comprises the following steps of: firstly, performing image identification by an infrared camera module using a deep learning algorithm for a plurality of infrared beacon modules arranged in a landing area, so as to acquire images of the plurality of infrared beacon modules on the landing area, and training and generating a model by a neural network; secondly, downloading the trained model into an unmanned aerial vehicle flight control, taking an image input by a camera as an input, loading the model by the neural network, and processing theimage to calculate the relative position information of a parking apron; and then, sending the position information as the input to the unmanned aerial vehicle flight control, thereby controlling theunmanned aerial vehicle to adjust the position, and landing it on the parking apron. The fixed-point landing method for the unmanned aerial vehicle is widely used in the technical field of aircrafts such as the unmanned aerial vehicle.

Description

technical field [0001] The present invention relates to the technical field of aircraft such as unmanned aerial vehicles, and in particular relates to a fixed-point landing method for unmanned aerial vehicles. Background technique [0002] In recent years, the application fields of drones have become more and more extensive, and the control technology of drones has become increasingly mature. To further realize the automation of drones, the key lies in the automatic take-off and landing of drones. The automatic fixed-point landing process is completed by the GPS positioning system. The reliable accuracy of GPS positioning is about 3 meters, and the GPS signal is easily blocked by obstacles to affect the positioning accuracy. In order to achieve high-precision fixed-point landing, auxiliary tools must be added in a small area. This increases the complexity of the system. [0003] The prior art usually uses cameras to identify patterns on the ground or infrared beacons to ach...

Claims

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Application Information

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IPC IPC(8): G05D1/10G06N3/08
CPCG05D1/101G06N3/08
Inventor 王新胜周志权王晨旭赵宜楠
Owner HARBIN INST OF TECH AT WEIHAI
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