Supercharge Your Innovation With Domain-Expert AI Agents!

A method and device for processing high-precision map data

A technology of map data and processing methods, applied in image data processing, special data processing applications, geographic information databases, etc., can solve problems such as map image object dislocation, ghosting, etc., to achieve the effect of removing ghosting and improving clarity

Active Publication Date: 2019-04-05
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In view of this, the embodiments of the present invention provide a method and device for processing high-precision map data, so as to solve the problems of dislocation and ghosting of objects in map images that occur when correlating image data collected multiple times

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
  • A method and device for processing high-precision map data
  • A method and device for processing high-precision map data
  • A method and device for processing high-precision map data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] figure 1 This is a flowchart of a method for processing high-precision map data according to Embodiment 1 of the present invention. The method can be executed by a high-precision map data processing device, where the device can be implemented by software and / or hardware, and can generally be integrated in a server with image data processing capabilities.

[0027] See figure 1 , The method specifically includes the following:

[0028] S101. Collect map data at least twice along the target track to obtain at least two original map data respectively.

[0029] In the above operations, the target trajectory may refer to the collection route of a collection tool such as a collection vehicle, a collection airplane, or a collection robot that collects map data. The route can be preset and stored in the aforementioned collection tool. It can also be a better collection route that the collection tool determines by itself according to the collection start point and end point input by hu...

Embodiment 2

[0051] A method for processing high-precision map data provided by the second embodiment of the present invention is based on the above-mentioned embodiment. Further, the object in the original map data is identified separately, and the object features are extracted. The optimization is The point cloud data in the original map data performs static object recognition, and extracts structural features of the static object.

[0052] The point cloud data includes the reflectivity and topographic characteristics of different objects. Since the point cloud data is a series of discrete points of the surface model of the object data, compared with the use of image data to identify objects, the use of point cloud data to identify static objects can improve the accuracy of identifying objects, thereby improving the extracted The accuracy of the feature of the object.

[0053] Optionally, based on the technical solutions of the foregoing embodiments, the reflectivity in the point cloud data ...

Embodiment 3

[0065] image 3 This is a schematic structural diagram of a processing device for high-precision map data provided in the third embodiment of the present invention.

[0066] See image 3 , The device of this embodiment specifically includes: an acquisition module 31, an identification module 32, a matching module 33, and a fusion processing module 34;

[0067] Wherein, the collection module 31 is configured to collect map data at least twice along the target track to obtain at least two original map data respectively;

[0068] The recognition module 32 is configured to recognize objects in the original map data and extract object features;

[0069] The matching module 33 is configured to match the object features in each of the original map data;

[0070] The fusion processing module 34 is configured to use the object matching the feature of the object as a reference object, and perform fusion processing on each of the original map data.

[0071] In the technical solution of this embod...

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 embodiment of the present invention discloses a high-precision map data processing method and device. The method includes: collecting the map data at least twice along the target trajectory to obtain at least two original map data respectively; identifying the original map respectively objects in the data, and extract object features; match the object features in each of the original map data; use the object matching the object features as a reference object, and perform fusion processing on each of the original map data. In the embodiment of the present invention, by identifying the objects in the original map data, and extracting the object features, and then matching the object features in each original map data, and using the matched object as a reference object, the original map data is processed using the reference object. Fusion processing solves the problem of dislocation of objects in the map image, removes the ghosting problem of the map image, and improves the clarity of the map image.

Description

Technical field [0001] The embodiments of the present invention relate to map data processing technology, and in particular to a method and device for processing high-precision map data. Background technique [0002] As more and more users travel by car to visit relatives, explore and travel, when users go to destinations they are not familiar with, they will rely on the use of smart terminals for map query. Users can enter destinations in the smart terminals. To view and select travel routes, the use of maps facilitates people's lives to a large extent. [0003] At present, before forming a map image, the collection of map image data generally uses inertial measurement unit (Intertial Measurement Uint, IMU), global positioning system (Global Positioning System, GPS) or light detection and measurement (Light Detection And Ranging, LIDAR), etc. A variety of tools are used to complete, and then the data is fused to form map data. [0004] The IMU mainly includes two parts, a gyroscop...

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): G06T5/00
CPCG06T2207/10028G06T2207/10032G06T2207/20221G06T7/33G06T7/38G06F16/29G01C21/32G06T5/50G06T17/05G09B29/003G06T2210/56G06F18/253G06F18/22
Inventor 蒋昭炎关书伟宋良晏阳
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com