Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Obstruction automatic recognition system for collision preventing of large-scale autonomous underwater vehicle (AUV)

An obstacle and collision avoidance technology, applied in character and pattern recognition, radio wave measurement system, and re-radiation, etc., can solve problems such as misjudgment by collision avoidance system and the inability of AUV to move in the correct direction.

Inactive Publication Date: 2014-08-13
710TH RES INST OF CHINA SHIPBUILDING IND CORP
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to many interferences, sonar often outputs "false information", which will cause misjudgment by the collision avoidance system, so that the AUV cannot move in the correct direction

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
  • Obstruction automatic recognition system for collision preventing of large-scale autonomous underwater vehicle (AUV)
  • Obstruction automatic recognition system for collision preventing of large-scale autonomous underwater vehicle (AUV)
  • Obstruction automatic recognition system for collision preventing of large-scale autonomous underwater vehicle (AUV)

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0051] Such as figure 1 As shown, the large-scale AUV collision avoidance obstacle autonomous identification system of the present invention includes a multi-beam forward-looking sonar, a collision avoidance computer and a central control computer, and the multi-beam forward-looking sonar and the collision avoidance computer communicate through a network. After the beam forward-looking sonar is powered on, it waits for the control command of the collision avoidance computer. When receiving the work order, it immediately returns the sonar data to the collision avoidance computer. The collision avoidance computer receives the sonar data for real-time processing, and simultaneously controls the multi-beam forward-looking sound accept. The collision avoidance computer is connected with the central control computer through RS422, and the collision avoidance co...

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 an obstruction automatic recognition system for collision preventing of a large-scale autonomous underwater vehicle (AUV) and belongs to the technical field of digital image processing. The system comprises a multi-beam foresight sonar, a sonar computer and a central control computer. Network communication passes between the foresight sonar and the sonar computer. The sonar computer is connected with the central control computer through RS 422. The multi-beam foresight sonar collects information of an obstruction. The information is converted to an image and is sent to the sonar computer. The sonar computer receives the image and figures out information about distance, location, size of the obstruction in real time and sends the information to the central control computer. The obstruction automatic recognition system for the collision preventing of the large-scale AUV is strong in real-time judging of the obstruction, free of prior knowledge and suitable for the large-scale AUV.

Description

technical field [0001] The invention relates to an autonomous obstacle identification system, in particular to an autonomous obstacle identification system for large-scale AUV collision avoidance, and belongs to the technical field of digital image processing. Background technique [0002] At present, the world is facing three major problems of population, resources and environment. With the rapid economic development of various countries and the continuous increase of population, human beings consume more and more natural resources, and the resources on land are facing exhaustion, while the ocean and the bottom of the ocean, which account for 71% of the earth's surface area, contain extremely rich biological resources. and mineral resources. As one of the undeveloped treasure land and high-tech fields of human beings, the ocean has become an important strategic goal of various countries and the focus of fierce international competition in recent years. Many countries are v...

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 Patents(China)
IPC IPC(8): G01S15/93G01S7/52G06K9/54
Inventor 林飞宇石涛罗云虎程彬彬叶玉玲胡庆玉晏刚
Owner 710TH RES INST OF CHINA SHIPBUILDING IND CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com