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

Navigation method based on big data machine learning and navigation system thereof

A technology of machine learning and navigation methods, applied in the field of navigation, can solve problems such as problems in comprehension, and achieve the effects of reducing accuracy, improving utilization, and reducing utilization

Pending Publication Date: 2017-05-10
高域(北京)智能科技研究院有限公司
View PDF2 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In layman's terms, the machine is like a simultaneous interpreter, but in the current situation of the simultaneous interpreter, the vocabulary is unlimited, but the comprehension ability is always problematic

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
  • Navigation method based on big data machine learning and navigation system thereof
  • Navigation method based on big data machine learning and navigation system thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] Specific embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although specific embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and is not limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0040] It should be noted that certain terms are used in the specification and claims to refer to specific components. Those skilled in the art should understand that they may use different terms to refer to the same component. The specification and claims do not use differences in nouns as a way of distinguishing components, but use differences in functions of components as a criterion for distinguishing. "Includes" or "comprises" mentioned throughout the spe...

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 provides a navigation method based on big data machine learning and a navigation system thereof. The navigation method comprises the following steps: in a first step (S1), collecting vehicle travel information to construct a large database comprising massive travel information, wherein the travel information comprises a starting point, a terminal point and a travel path; in a second step (S2), inputting a search condition and directly utilizing big data learning to carry out machine learning in the large database to obtain a navigation route, wherein the search condition comprises the starting point and the terminal point.

Description

technical field [0001] The invention belongs to the field of navigation, in particular to a navigation method based on big data machine learning and a navigation system thereof. Background technique [0002] The current navigation technology is basically based on the statistics of historical data, or based on the learning of some effective data, to map the road traffic network according to nodes (various intersections or key landforms that affect driving, such as turntables, special driving points, etc.) etc.), path (lane width, congestion, etc.), driving direction (two-way, one-way, definite time limit, etc.), etc., are divided into logical vector map data. Then, according to the data of the starting point and the ending point proposed by the user, according to different preset rules such as the shortest time, the shortest path, and the least traffic lights, a route that meets the user's needs is calculated. [0003] The problem with this method is that after reading the a...

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): G01C21/34
CPCG01C21/3484G01C21/3492
Inventor 不公告发明人
Owner 高域(北京)智能科技研究院有限公司
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