Generation system for high-precision road map

A generation system, high-precision technology, applied in road network navigator, photo interpretation, geographic information database, etc., can solve the problems of heavy workload and high cost of high-precision map production or update, to reduce scene complexity, The effect of improving accuracy, improving recognition rate and ranging accuracy

Inactive Publication Date: 2017-03-22
陈曦
View PDF7 Cites 118 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a high-precision road map generation system in order

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
  • Generation system for high-precision road map
  • Generation system for high-precision road map
  • Generation system for high-precision road map

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0021] Specific implementation mode 1: the following combination figure 1 with Figure 7 To explain this embodiment, the system for generating high-precision road maps in this embodiment. The generating system collects data by collecting two pairs of on-board cameras on the vehicle, which includes:

[0022] The data acquisition module is used to collect the image data along the road obtained by the two pairs of on-board cameras in the vehicle driving environment, the position coordinate data of the two pairs of on-board cameras, and the data on the heading angle of the vehicle and the current slope of the road;

[0023] Data processing module: used to preprocess the binocular image data obtained by two pairs of vehicle cameras to obtain corrected image data; for the corrected image data, classify according to the deep learning algorithm; use the deep learning model for the classified corrected image data Extract and match binocular image feature points, and eliminate mismatched bin...

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 generation system for a high-precision road map and belongs to the technical field of high-precision maps. The purpose is to solve the problems that the workload of producing or updating an existing high-precision map is large, and cost is high. High-precision positioning and high-precision matching are achieved relative to the existing map, existing information of the existing map is fully utilized, and the workload and cost for producing/updating of the high-precision map are lowered. The generation system is characterized in that road elements recognized through deep learning, computer vision and other methods and obtained accurate relative position information form a ground one-dimension thick and space three-dimensional sparse map similar to Mobileye, and the map can be matched and fused with an existing traffic information system GIS-T. Based on an existing low-precision electronic map, a positioning system and a vehicle-mounted camera, producing/updating of the high-precision map are achieved at a low cost. The generation system is used for producing or updating the existing high-precision road map.

Description

technical field [0001] The invention relates to a generating system of a high-precision road map, and belongs to the technical field of high-precision maps. Background technique [0002] Traditional maps only store a small amount of label information for road features such as road centerlines and road names. These information can only represent the greatly simplified actual traffic environment, and cannot reflect the detailed conditions of the road with high precision. Compared with traditional maps, high-precision maps can provide high-precision coordinates, detailed road information such as accurate road shapes, lane lines, traffic signs, slopes, elevations, and rolls, as well as rich geographical elements, which can provide accurate information for the future. The latest technologies such as location based services (Location Based Services, LBS) and unmanned driving provide a solid foundation, so they have received more and more attention. Especially when severe weather...

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
IPC IPC(8): G01C21/32G01C11/04G06F17/30
CPCG01C21/32G01C11/04G06F16/29
Inventor 陈曦
Owner 陈曦
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