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

Rule inference method and system for realizing unmanned vehicle navigation obstacle avoidance

A reasoning method and unmanned vehicle technology, applied in the field of rule reasoning method and system for realizing unmanned vehicle navigation and obstacle avoidance, and can solve problems such as few practical applications.

Pending Publication Date: 2021-01-08
BEIJING INST OF COMP TECH & APPL
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current rule-based reasoning system has few practical applications in the military field and the field of unmanned equipment.

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
  • Rule inference method and system for realizing unmanned vehicle navigation obstacle avoidance
  • Rule inference method and system for realizing unmanned vehicle navigation obstacle avoidance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] In order to make the purpose, content, and advantages of the present invention clearer, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0021] The schematic diagram of the system framework of the present invention is as figure 1 shown. The system is divided into four layers, which are rule configuration layer, rule reasoning layer, reasoning execution layer and data storage layer. (1) Rule configuration layer. The rule configuration layer connects the program entry module and the rule reasoning layer, provides an interface for the program entry module to configure runnable rules and input custom rules, and provides a basis for the combination of lower layer reasoning algorithms. The rule inference engine configuration includes: rule configuration file, rule configuration tool, and rule configuration parser. The rule configuration file is used to mod...

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 relates to a rule inference method and system for realizing unmanned vehicle navigation obstacle avoidance, and the method comprises the steps: 1, constructing a knowledge rule library,employing a hierarchical inference strategy, defining and constructing a basic rule and a model library, taking the data collected by an unmanned vehicle in real time as the input data of an inferenceengine, and carrying out the inference decision through an automatic inference mechanism, completing the updating of the knowledge rule base; and 2, enabling the inference engine to allow the unmanned vehicle to complete observation, judgment, decision and action processes through inference engine resource configuration, calling of a calculation unit and information interaction with the knowledgerule base and by adopting an inference engine operation mode based on a hierarchical inference strategy, and has autonomous task capability. According to the invention, new knowledge of a task scenecan be learned, so that the unmanned vehicle has autonomous path planning, navigation obstacle avoidance and target identification capabilities, an intelligent reasoning decision can be made scientifically and efficiently, finally, the unmanned vehicle has a decision capability of simulating and surpassing a person to solve a complex problem, and a new method is provided for realizing unmanned equipment intelligence.

Description

technical field [0001] The invention relates to a rule reasoning method, in particular to a rule reasoning method and system for realizing navigation and obstacle avoidance of an unmanned vehicle. Background technique [0002] The rule-based reasoning engine, also called the production system, is developed from the rule-based expert system, which is a branch of the expert system in the field of artificial intelligence. The rule reasoning engine separates business decisions from application code, and uses predefined semantic modules to write business decisions. Accept data input, interpret business rules, and make business decisions based on business rules. [0003] The rule engine is often used as a component embedded in the application program in the commercial field to assist the enterprise IT system in process management and respond to rapidly changing business rules. Business personnel can directly manage and modify the rules dynamically without the participation of pro...

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): G06N5/04
CPCG06N5/04
Inventor 陈玉伟殷少戈杨林
Owner BEIJING INST OF COMP TECH & APPL
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