Object Detection Method Based on Micro Aircraft

A technology for micro-aircraft and target detection, applied in aircraft, unmanned aircraft, instruments, etc., can solve problems such as limitations, complex target detection algorithms, target recognition real-time and accuracy needs to be improved, etc. The effect of generalization

Active Publication Date: 2021-07-16
BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
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  • Abstract
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AI Technical Summary

Problems solved by technology

The error of UAV attitude recognition limits the control of UAV to UAV to a certain extent, thus affecting the large-scale application of UAV
[0008] Moreover, the target detection algorithm of the existing visual recognition system on the UAV is complex and requires a large amount of computing resources as support. Therefore, the real-time and accuracy of target recognition need to be improved

Method used

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  • Object Detection Method Based on Micro Aircraft
  • Object Detection Method Based on Micro Aircraft
  • Object Detection Method Based on Micro Aircraft

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Embodiment Construction

[0042] In order to make the purpose and technical solutions of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiments of the present invention. Apparently, the described embodiments are some, not all, embodiments of the present invention. Based on the described embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It should also be understood that terms such as those defined in commonly used dictionaries should be und...

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Abstract

The present invention provides a target detection method based on a micro air vehicle. The present invention reduces the size of the model by using depth-separable convolution, and improves the generalization of the model by using a multi-branch structure. The target detection model of the present invention is further implemented in the front-end network MBDSCNN Additional convolutional layers are added to the structure, and the size of the additional convolutional layers is set to decrease layer by layer, so that the model can predict under multi-scale conditions. The target detection model established by the present invention can combine the output of each extra convolutional layer to replace the fully connected layer of MBDSCNN, and add a non-maximum suppression layer (NMS) after the fully connected layer to output the detection result. Therefore, compared with the prior art, the present invention can accurately identify targets at various scales, and accurately output detection results.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to a target detection method based on a micro air vehicle. Background technique [0002] UAV system is a technology-intensive industry in the aerospace manufacturing industry, and its design and production process integrates a variety of high-tech systems. [0003] In the military, unmanned aerial vehicles have become the biggest bright spot in the weapons and equipment of various countries. Due to the characteristics of low operating cost, no risk of casualties, and easy use, UAVs can be widely used in anti-terrorism and riot control, emergency rescue and disaster relief, aerial survey and aerial photography, land and resource management, environmental protection, urban planning and management, film and television, and power departments. Line inspection, maritime patrol, highway inspection, fire prevention in forestry department, pest monitoring and control in agr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B64C39/02B64D47/08G06K9/00G06N3/04
CPCB64C39/02B64D47/08G06V20/41G06N3/045B64U30/20B64U2101/00B64U2101/30
Inventor 杨建伟姚德臣刘恒畅张骄武向鹏寇子明国树东
Owner BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
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