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Unmanned aerial vehicle ground object detection method

A detection method and technology of machine and ground objects, which are applied in computer parts, biological neural network models, instruments, etc., can solve problems such as difficulty in implementation, time-consuming and labor-intensive target labeling processing, and reduce the amount of training data and require less training data. , the effect of high robustness detection

Pending Publication Date: 2022-03-25
UNIV OF SCI & TECH BEIJING
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Problems solved by technology

The above method can significantly improve the accuracy of detection and recognition, but the main disadvantage is that it is time-consuming and labor-intensive to accumulate massive data and process target marking, which is difficult to achieve in practice

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  • Unmanned aerial vehicle ground object detection method
  • Unmanned aerial vehicle ground object detection method
  • Unmanned aerial vehicle ground object detection method

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Embodiment Construction

[0057] In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0058] like figure 1 and figure 2 As shown, the embodiment of the present invention provides a method for detecting ground objects of a drone, including:

[0059] S101, acquiring an aerial image of a visible light camera;

[0060] S102. Using an information entropy-based ambient light brightness perception algorithm to perceive the ambient light brightness level according to the acquired aerial image, which may specifically include the following steps:

[0061] A1, converting the environment image acquired in real time from RGB color space to LAB color space;

[0062]A2, calculate the mean value of L component, A component and B component in the LAB color space, detract from the contrast normalization (MeanSubtracted and Contrast Normaliz...

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Abstract

The invention provides an unmanned aerial vehicle ground object detection method, and belongs to the field of unmanned aerial vehicle aerial photography ground object recognition. The method comprises the following steps: acquiring an aerial image of a visible light camera; according to the acquired aerial image, sensing an ambient light brightness level by adopting an ambient light brightness sensing algorithm based on information entropy; and selecting a corresponding deep learning network to detect pedestrians and vehicles on the ground according to the perceived ambient light brightness level. According to the invention, rapid and high-robustness detection of ground vehicles and pedestrians of aerial images of the visible light camera under a complex ambient light condition can be realized.

Description

technical field [0001] The invention relates to the field of ground feature recognition in aerial photographs of unmanned aerial vehicles, in particular to a method for detecting ground features by unmanned aerial vehicles. Background technique [0002] In recent years, UAVs have been widely used in public security fields such as disaster rescue, security monitoring, and emergency management and control. UAVs equipped with visible light cameras can achieve high-precision reproduction of scene features, which have the advantages of rich details, intuitive visibility, and easy understanding. However, visible light cameras are also very susceptible to the influence of ambient light and the movement of drones, resulting in uneven brightness, too bright or too dark imaging scenes in the imaging results, and ultimately have a great disadvantage to the design and application of ground object detection algorithms influences. [0003] In order to solve the above problems, the indus...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/56G06V10/774G06K9/62G06N3/04G06V20/17
CPCG06N3/045G06F18/214
Inventor 刘皓挺陈帅
Owner UNIV OF SCI & TECH BEIJING