Path identification method based on artificial intelligence platform

A technology of artificial intelligence and path recognition, applied in neural learning methods, navigation computing tools, biological neural network models, etc., can solve problems such as local optimum and low efficiency, achieve intelligent judgment process, high accuracy, and increase promotion the effect of the possibility

Active Publication Date: 2020-04-10
RIZHAO POLYTECHNIC
View PDF15 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] (3) Path planning research in unknown environment or dynamic environment
Such algorithms generally have higher search efficiency, but sometimes fall into local optimum, and even lower efficiency in some cases

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
  • Path identification method based on artificial intelligence platform
  • Path identification method based on artificial intelligence platform
  • Path identification method based on artificial intelligence platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The present invention will be further described below in conjunction with the accompanying drawings.

[0046] The present invention relates to the field of deep learning path identification, by using deep feature recombination to perform path regression and identification, so as to better utilize the feature points of the deep convolution layer and improve the calculation speed of the target. The present invention specifically includes:

[0047] (1) Gather images with paths: the present invention can use image recording and acquisition tools such as monitors and probes to gather images with paths, then store pictures by the program of chips implanted in equipment and equipment, and record each The image is classified, and the data connection is established according to the defined feature type to form a data set;

[0048] (2) Data preprocessing: the chip or core computing tools start to work, such as CPU, DSP, etc., calculate the mean and standard deviation of each pix...

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 belongs to the technical field of intelligent path planning, and particularly relates to a path planning method based on an artificial intelligence platform. The method comprises the steps that images with paths are collected, specifically, the images with the paths are collected, each image is classified, data connection is established according to defined feature types, and a dataset is formed; and data preprocessing is performed: a mean value and a standard deviation of each pixel are calculated on the whole data set for the original image, overturning each image at a probability of 50%, and normalization processing is carried out at the same time to obtain a preprocessed image set. The convolutional neural network is used for image recognition. Compared with a traditional method, the accuracy is higher, the judgment process is more intelligent, and the method can be applied to various application scenes. The full convolutional network is used as a basic network structure, local information is reserved, learned features are more easily visualized and understood, meanwhile, the full convolutional network has no too much limitation on the size and type of the image,and the practicability is enhanced.

Description

technical field [0001] The invention belongs to the technical field of intelligent path planning, and in particular relates to a path planning method based on an artificial intelligence platform. Background technique [0002] Robotics is an important field that is booming. It integrates optics, electronics, measurement and control technology, automatic control theory, information technology, software technology, and computer technology to form a comprehensive new technology. Due to the development and popularization of computer technology, human production has gradually transitioned from mechanization and automation to the era of "intelligence" all over the world. [0003] Robot technology integrates the development results of multiple disciplines and represents the frontier of high-tech development. Its continuous expansion in the field of human life application is causing a new understanding of the role and influence of robot technology in the world. With the continuous de...

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): G01C21/20G06N3/04G06N3/08
CPCG01C21/20G06N3/08G06N3/045
Inventor 金桂梅李林金贵斌
Owner RIZHAO POLYTECHNIC
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap