Unmanned aerial vehicle cluster control method based on machine vision

A machine vision, cluster control technology, applied in non-electric variable control, control/regulation systems, three-dimensional position/channel control, etc., can solve the inconvenience of accurate positioning of the landing position of the drone cluster, and can not solve the problem of the individual in the cluster at the same time. Anti-collision issues, etc.

Inactive Publication Date: 2020-10-23
江苏威思迈智能科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] The above-mentioned UAV swarm control method has strong flexibility in controlling swarm movement, good consistency, and remarkable control and obstacle avoidance effects; but the above-mentioned UAV swarm control method still has some shortcomings, such as: ...

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  • Unmanned aerial vehicle cluster control method based on machine vision

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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0026] see figure 1 , the present invention provides the unmanned aerial vehicle swarm control method based on machine vision, comprises the following steps:

[0027] S1. Fly in formation for the drone cluster: S11. In the drone cluster, number the drones according to the motion model of the drone; S12. Use the formation controller to control the formation of the drone cluster; S13. Based on the behavioral formation control strategy, select the formation flig...

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Abstract

The invention discloses an unmanned aerial vehicle cluster control method based on machine vision. The method comprises the following steps of: S1, performing formation flight on an unmanned aerial vehicle cluster; S2, establishing unmanned aerial vehicle cluster resource sharing: S21, establishing a real-time data resource sharing mechanism; S22, establishing a service resource sharing mechanism;S23, constructing a cluster unmanned aerial vehicle data backup and recovery mechanism; S24, establishing a cluster cooperative fault detection and processing mechanism; S3, establishing an unmannedaerial vehicle cluster layered anti-collision system: S31, constructing a layered model; S32, detecting layered conflict; S33, conducting layered collision avoidance; S4, controlling the unmanned aerial vehicle cluster; and S5, performing precise landing based on machine vision. Before the task is executed, training of a deep learning algorithm SSD is carried out by utilizing the collected targetdata, a target platform can be ensured to be detected in a video containing the target platform, and the unmanned aerial vehicle cluster can be assisted to precisely land on the specified platform.

Description

technical field [0001] The invention belongs to the field of unmanned aerial vehicle clusters, and in particular relates to a control method for unmanned aerial vehicle clusters based on machine vision. Background technique [0002] Unmanned aircraft, referred to as unmanned aerial vehicle, or UAV in English, is an unmanned aircraft controlled by radio remote control equipment and its own program control device. From a technical point of view, it can be divided into: unmanned helicopter, unmanned fixed-wing aircraft, unmanned multi-rotor aircraft, unmanned airship, unmanned parawing aircraft, etc. [0003] You can refer to the Chinese patent whose authorized announcement number is CN107340784A, which discloses a UAV cluster control method. The method includes the following steps: constructing the internal drone cluster group through the spatial position, speed and acceleration of the members of the drone cluster group. The member model; the acceleration control function of ...

Claims

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Application Information

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IPC IPC(8): G05D1/10
CPCG05D1/104
Inventor 陈大伟
Owner 江苏威思迈智能科技有限公司
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