Map production method and device based on laser point cloud

A laser point cloud and point cloud technology, applied in the computer field, can solve the problems of weak robustness, low accuracy of 3D high-precision map production, single type of extracted elements, etc., to improve robustness, maintain object integrity and Consistent, rich element variety effects

Pending Publication Date: 2020-07-28
BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
View PDF0 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] In view of this, the embodiments of the present invention provide a laser point cloud-based map production method and device, which can at least solve the shortcomings of low accuracy, weak robustness, and single types of extracted elements in the prior art for 3D high-precision map production.

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
  • Map production method and device based on laser point cloud
  • Map production method and device based on laser point cloud
  • Map production method and device based on laser point cloud

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0073] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0074] It should be noted that the method provided by the embodiment of the present invention is not only applicable to map production, but also applicable to indoor scene reconstruction, for example, large-scale shopping mall construction and the like. The elements in the corresponding semantic analysis are trees, vehicles, pedestrians, etc. for map production, and tables...

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 discloses a map production method and device based on laser point cloud, and relates to the technical field of computers. A specific embodiment of the method comprises: collecting laserpoint cloud of a target area, and performing semantic analysis on the laser point cloud to determine a category attribute of each point cloud point in the laser point cloud and a serial number of an instance to which the point cloud point belongs; combining the point cloud points with the same category attribute under the same instance number to obtain a point cloud cluster, and determining the shape of the point cloud cluster according to the corresponding relationship between the category attribute and the shape; and determining a vectorization rule corresponding to the shape to perform vectorization processing on the point cloud cluster to obtain a vectorization map of the target area. The laser point cloud acquired in the embodiment has the advantages of multiple angles and multiple positions, the integrity and consistency of an object can be better kept compared with a perspective drawing, and the condition that a small part is shielded can be avoided; and three-dimensional vectorization is carried out on point clouds of different shapes, element types can be enriched, and generation of a three-dimensional high-precision map is completed.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a laser point cloud-based map production method and device. Background technique [0002] A high-precision map is a map used to guide unmanned vehicles and robot autonomous driving. Compared with ordinary electronic navigation maps, high-precision maps can provide more accurate (centimeter-level) locations, including richer (road lines, curbs, The road factor information of barriers, etc.) is an indispensable part of automatic driving technology. [0003] A 3D high-precision map is a map drawn in a three-dimensional space. Compared with a two-dimensional high-precision map, its advantages lie in: [0004] 1) Rich 3D information improves the accuracy of autonomous driving decisions, such as guiding vehicles traveling in different directions in the overpass area; [0005] 2) The application is more extensive. In addition to assisting vehicle navigation, it can also be used to b...

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): G06T11/20G06K9/00G06K9/34
CPCG06T11/206G06V20/56G06V10/267
Inventor 李艳丽郭云巧高俊帆闫瑞仙蔡金华
Owner BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
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