Multi-sensor fusion-based autonomous obstacle avoidance unmanned aerial vehicle system and control method

A multi-sensor fusion and control method technology, applied in three-dimensional position/channel control and other directions, can solve the problems of complex calculation and implementation process, and achieve the effect of comprehensive obstacle avoidance method, high real-time performance and broad application prospect.

Active Publication Date: 2016-08-24
STATE GRID INTELLIGENCE TECH CO LTD
View PDF10 Cites 95 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The application number is "201310036235.1" "Multiple Obstacle Avoidance Control Method for UAVs for Power Line Inspection", which combines two obstacle avoidance methods, but needs to download the transmission line electromagnetic field distribution model and transmission line in the embedded flight controller. 3D model data, the calculation implementation process is more complicated
[0004] To sum up, the UAV obstacle avoidance method in the prior art is not very effective for the UAV inspection operation, and there are still many problems to be solved.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-sensor fusion-based autonomous obstacle avoidance unmanned aerial vehicle system and control method
  • Multi-sensor fusion-based autonomous obstacle avoidance unmanned aerial vehicle system and control method
  • Multi-sensor fusion-based autonomous obstacle avoidance unmanned aerial vehicle system and control method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention is described in detail below in conjunction with accompanying drawing:

[0035] Such as Figure 1-2 As shown, an autonomous obstacle avoidance UAV system based on multi-sensor fusion includes an environment and obstacle data analysis and processing module 2, an ultrasonic device 5, a propeller 6, a power module 7, an obstacle avoidance decision module 9 and a frame 10; An environment and obstacle data analysis and processing module 2 is installed on the front and outer surfaces of the frame 10. This module is specifically a processor for analyzing and processing the environment and obstacle data. The radar 3, and the inertial sensor 1 and the forward direction millimeter-wave radar 3 are located above the environment and obstacle data analysis and processing module 2, and the obstacle avoidance decision-making module 9 is installed inside the frame 10, and the ultrasonic device 5 is installed on the frame through a fixed frame 10, and around the b...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a multi-sensor fusion-based autonomous obstacle avoidance unmanned aerial vehicle system and a control method. The system includes an environment information real-time detection module which carries out real-time detection on surrounding environment through adopting a multi-sensor fusion technology and transmits detected information to an obstacle data analysis processing module, the obstacle data analysis processing module which carries out environment structure sensing construction on the received information of the surrounding environment so as to determine an obstacle, and an obstacle avoidance decision-making module which determines an obstacle avoidance decision according to the output result of the obstacle data analysis processing module, so as to achieve obstacle avoidance of an unmanned aerial vehicle through the driving of power modules which is performed by a flight control system. According to the multi-sensor fusion-based autonomous obstacle avoidance unmanned aerial vehicle system and the control method of the invention, binocular machine vision systems are arranged around the body of the unmanned aerial vehicle, so that 3D space reconstruction can be realized; and an ultrasonic device and a millimeter wave radar in an advancing direction are used in cooperation, so that an obstacle avoidance method is more comprehensive. The system has the advantages of high real-time performance of obstacle detection, long visual detection distance and high resolution.

Description

technical field [0001] The invention relates to the field of operation and maintenance of power systems, in particular to an autonomous obstacle avoidance unmanned aerial vehicle system and control method based on multi-sensor fusion. Background technique [0002] Through years of technology research and development and practical application, UAV inspection has developed into an efficient and low-cost aerial inspection technology, which is one of the important means to solve the intelligent inspection of transmission lines. Improve the power transmission and distribution operation, management and maintenance level of the power system. As far as UAVs are concerned, the automatic obstacle avoidance system is an important safety guarantee for UAVs to successfully complete flight tasks. It plays a vital role in the flight path planning ability of UAVs, which largely reflects intelligence and security. [0003] "A UAV Obstacle Avoidance Method and Its Device" with the applicati...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/10
Inventor 李宗谕刘俍王万国张方正董罡杨波雍军慕世友李超英傅孟潮魏传虎李建祥赵金龙李勇吴观斌许乃媛
Owner STATE GRID INTELLIGENCE TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products