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No-fly airspace unmanned aerial vehicle detection method

A detection method and UAV technology, applied in neural learning methods, computer parts, instruments, etc., can solve problems such as difficulty in detecting small targets of UAVs, confusion in detection of birds or other similar objects, etc.

Active Publication Date: 2019-11-22
UNIV OF ELECTRONICS SCI & TECH OF CHINA +1
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Now it is difficult to detect small drone targets in the distance, and it is easy to be confused with the detection of birds or other similar objects, and it can detect targets in real time

Method used

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  • No-fly airspace unmanned aerial vehicle detection method

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Embodiment Construction

[0047] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0048] attached Figure 4 It is an overall flowchart, through which the technical solution of the present invention is specifically described.

[0049] 1) Split the original data, one part is the training set, the other part is the test set, and the ratio of the training set to the test set is 7:3. The training set is used for network training, and the test set is used for testing the trained model.

[0050] 2) Preprocessing the training set. The preprocessing operations include image cropping, scaling, flipping, shifting, brightness adjustment, adding noise and standardization. Through these preprocessing, an input image of fixed size 416*416 is obtained. At the same time, the label data of the image also needs to be processed accordingly. The images are then combined into a batch and fed into the network.

[0051] 3) The feature extraction network in the figure ...

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Abstract

The invention belongs to the technical field of no-fly airspace unmanned aerial vehicles, and particularly relates to a no-fly airspace unmanned aerial vehicle detection method. According to the invention, real-time and accurate unmanned aerial vehicle detection is carried out on unmanned aerial vehicles in a flight forbidding airspace, so that illegal flight unmanned aerial vehicles are effectively reduced through flight detection of the unmanned aerial vehicles. Meanwhile, the unmanned aerial vehicle flying in the airspace can be found more quickly and accurately, unmanned aerial vehicle countering measures can be implemented more quickly, losses caused by illegal flight of the unmanned aerial vehicle are reduced as much as possible, and the probability of safety accidents caused by theunmanned aerial vehicle is reduced. The detection result can detect the small unmanned aerial vehicle target, accurately identify what the target is and the approximate position of the target, and enable the algorithm to achieve the real-time capability. Considerable reaction time is brought for timely processing 'illegal flight 'of the unmanned aerial vehicle.

Description

technical field [0001] The invention belongs to the technical field of unmanned aerial vehicles in no-fly airspace, and in particular relates to a detection method for unmanned aerial vehicles in no-fly airspace. Background technique [0002] In recent years, drones have been widely used in various industries, bringing convenience to many industries. At the same time, it has brought about bad phenomena. Safety accidents caused by "black flying" of UAVs have occurred many times in the country and even in countries around the world, such as UAVs disrupting navigation, smuggling and disrupting sensitive areas, which seriously threaten national defense and public safety. It directly shows the flaws and loopholes of drone regulation technology. In order to effectively supervise the flight of drones and reduce the safety accidents caused by the "black flight" of drones, this paper aims to propose a new detection method for drones in no-fly airspace. Now it is difficult to detec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/10G06N3/045G06F18/241
Inventor 叶润闫斌甘雨涛青辰
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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