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Unmanned aerial vehicle target tracking system based on machine vision and ultra-wideband positioning technology

A target tracking and machine vision technology, applied in the control of finding targets, etc., can solve the problems of restricting the development of UAVs, low degree of automation, unstable flight, etc., and achieve excellent real-time tracking performance, high degree of automation, and easy operation. Effect

Inactive Publication Date: 2015-07-15
CENT SOUTH UNIV
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AI Technical Summary

Problems solved by technology

[0003] However, currently commonly used UAVs require manual remote control.
Its operation is difficult, the degree of automation is low, and the flight is unstable
These all limit the development of drones in the above-mentioned civilian fields
Many foreign laboratories and universities have research projects on rotor drones, but it is still a challenge to develop fully autonomous flight in complex environments

Method used

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  • Unmanned aerial vehicle target tracking system based on machine vision and ultra-wideband positioning technology
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Embodiment Construction

[0021] The invention provides a UAV target tracking system based on machine vision and ultra-wideband positioning technology, figure 1 A schematic structural diagram of the UAV target tracking system of the present invention is shown. The present invention will be further described below in conjunction with accompanying drawings and examples.

[0022] Such as figure 1 As shown in , the UAV target tracking system based on machine vision and ultra-wideband positioning technology includes a ground control platform S1 and a UAV tracker S2. Ground control platform S1 is composed of flight control software, data transmission module and video display interface. The UAV tracker is composed of microprocessor, FPGA, positioning module, airborne sensor, intelligent vision module, flight control module, and data transmission module. The configuration and functions of the ground control platform S1 and the UAV tracker S2 are described in detail below.

[0023] Such as figure 1 As show...

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Abstract

The invention relates to the field of unmanned aerial vehicle target tracking and image processing, and discloses an unmanned aerial vehicle target tracking system based on machine vision and an ultra-wideband positioning technology. The target tracking system is composed of a ground control platform S1 and an unmanned aerial vehicle tracker S2. The ground control platform is composed of a piece of flight control software, a data transmission module, and a video display interface. The unmanned aerial vehicle tracker is composed of a microprocessor, an FPGA, a positioning module, an airborne sensor, an intelligent vision module, a flight control module, and a data transmission module. The ground control platform sends a target tracking command. After receiving the target tracking command, the unmanned aerial vehicle tracker performs algorithm processing on an image acquired by the intelligent vision module and automatically identifies the position of a target in the image, and meanwhile, the unmanned aerial vehicle tracker reads data of the positioning module and the airborne sensor, plans a flight route according to a gesture guiding and adjusting algorithm, and sends a target moving image to the ground control platform to realize automatic visual tracking of the moving target.

Description

technical field [0001] The invention relates to the fields of unmanned aerial vehicle target tracking and image processing, in particular to an unmanned aerial vehicle target tracking system. Background technique [0002] In the civilian field, micro-UAVs can be used for various types of monitoring, monitoring, inspection, search and rescue, photography, surveying and mapping, investigation and investigation. Such as environmental monitoring, disaster monitoring, traffic road monitoring, border patrol and control, drug embargo, agricultural survey, large pasture patrol, urban surveillance and aerial photography, etc. In actual use, UAVs are often faced with the need to track low-speed targets. These requirements come from illegal vehicles in traffic control, specific athletes in sports photography, intrusion objects in security monitoring, injured animals in wildlife protection, etc. [0003] However, currently commonly used drones all require manual remote control. Its op...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/12
Inventor 邓宏贵蒋芳清朱开成马松山朱从旭陶少华
Owner CENT SOUTH UNIV
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