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A system and a method for an intelligent unmanned aerial vehicle to grab a target for a high-risk environment

A high-risk environment, unmanned aerial vehicle technology, used in manipulators, motor vehicles, transportation and packaging, etc., can solve problems such as inaccurate positioning, GPS signal loss, collision obstacles, etc., achieving a high degree of automation, high safety factor, and high efficiency Effect

Inactive Publication Date: 2019-06-25
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, there are still many problems when UAVs complete tasks in high-risk environments, such as loss of GPS signals and inaccurate positioning. Hitting obstacles or crashing while flying in a complex high-risk environment

Method used

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  • A system and a method for an intelligent unmanned aerial vehicle to grab a target for a high-risk environment
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  • A system and a method for an intelligent unmanned aerial vehicle to grab a target for a high-risk environment

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Embodiment Construction

[0043] In order to make the object, technical solution and effect of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings.

[0044] The present invention mainly belongs to the technical field of unmanned aerial vehicles, and relates to the basic problems of aerial robots, including the self-positioning of unmanned aerial vehicles, path planning, etc., and also relates to the technology of image processing, including target detection and target positioning. The robotic arm also involves some techniques in mechanical dynamics.

[0045] Such as figure 1 As shown, the present invention provides a system for capturing targets by an intelligent drone, including a multi-rotor drone, an onboard processor mounted on the drone, a depth camera, a monocular camera, an inertial measurement unit, an airborne Controller, lidar, and robotic arm and center of gravity compensation unit;

[00...

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Abstract

The invention provides a system and a method for an intelligent unmanned aerial vehicle to grab a target for a high-risk environment. By combining the unmanned aerial vehicle technology, the image processing technology and some mechanical technologies, the unmanned aerial vehicle is applied to foreign matter cleaning work in a high-risk environment. Meanwhile, a plurality of sensors are utilized,and a simultaneous positioning and mapping algorithm, a target detection algorithm and a target positioning algorithm are adopted, so that accurate detection, accurate positioning and stable grabbingof an interested target are realized. Compared with a traditional manual foreign matter cleaning method, the provided method is high in automation degree, high in efficiency and high in safety coefficient and can be widely applied to foreign matter cleaning work in a high-risk environment.

Description

technical field [0001] The invention belongs to the technical field of image processing and unmanned aerial vehicles, and relates to the positioning and navigation of unmanned aerial vehicles in high-risk environments and the detection, positioning and precise grasping technology of targets. Background technique [0002] Over the years, with the rapid development of the tourism industry, the sanitation and cleaning work of the scenic spot is related to the balanced development of the economic and environmental benefits of the scenic spot, and it is one of the problems to be solved urgently in the scenic spot. However, in some steep scenic spots, such as cliffs, sanitation work becomes very dangerous. In addition, on some overhead power lines, the cleaning of foreign matter is also a very difficult task. [0003] With the continuous advancement of drone technology, its strong flexibility of manipulation and high scalability of functions are gradually favored by the public. C...

Claims

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Application Information

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IPC IPC(8): G06T7/73G06T7/50B64C39/02B25J11/00
Inventor 张瑞祥李皓郭浩文林诗杰杨文
Owner WUHAN UNIV
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