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A detection method for unmanned aerial vehicles in no-fly airspace

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

Active Publication Date: 2022-05-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA +1
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  • Abstract
  • Description
  • 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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  • A detection method for unmanned aerial vehicles in no-fly airspace
  • A detection method for unmanned aerial vehicles in no-fly airspace
  • A detection method for unmanned aerial vehicles in no-fly airspace

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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 unmanned aerial vehicles in no-fly airspace, and in particular relates to a detection method for unmanned aerial vehicles in no-fly airspace. The invention implements real-time and accurate UAV detection on the UAVs in the no-fly airspace, and aims to effectively reduce the "black flying" UAVs through the UAV flight detection. At the same time, it can also realize faster and more accurate detection of UAVs flying in the airspace, faster implementation of UAV countermeasures, minimize the losses caused by UAV "black flying" and reduce the safety of UAVs. accident probability. The detection result of the invention can not only detect the target of the small unmanned aerial vehicle, but also accurately identify what the target is and the approximate position of the target, and enable the algorithm to achieve real-time capability. It brings considerable reaction time to deal with the "black flight" of the drone in time.

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 Patents(China)
IPC IPC(8): G06V20/00G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
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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