Point cloud labeling method and device thereof and electronic equipment

A point cloud and labeling frame technology, applied in the field of data processing, can solve problems such as slow speed, high price, and dependence, and achieve the effect of reducing costs and improving labeling speed

Pending Publication Date: 2021-06-18
深圳一清创新科技有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Point cloud 3D is divided into pure point cloud annotation (meaning that the original sensor data is only lidar data) and multi-sensor fusion annotation (such as image and point cloud fusion after annotation), but the current 3D point cloud annotation is too dependent on manual annotation. It is necessary to manually label each frame of point cloud data, which is slow and extremely expensive

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
  • Point cloud labeling method and device thereof and electronic equipment
  • Point cloud labeling method and device thereof and electronic equipment
  • Point cloud labeling method and device thereof and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0065] It should be noted that, if there is no conflict, various features in the embodiments of the present invention may be combined with each other, and all of them are within the protection scope of the present invention. In addition, although the functional modules are divided in the schematic diagram of the device, and the logical order is sh...

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 the technical field of data processing, and discloses a point cloud labeling method and a device thereof, electronic equipment and a nonvolatile computer readable storage medium. The method comprises the steps of obtaining point cloud data; processing the point cloud data by using a preset algorithm model to obtain a pre-labeling box; detecting the pre-labeling box to obtain a detection result; and on the basis of the detection result, inputting the point cloud data into the database, achieving the semi-automatic labeling of the point cloud data through the preset algorithm model, so that the labeling speed can be increased, and the cost can be reduced.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a point cloud labeling method, device, electronic equipment and non-volatile computer-readable storage medium. Background technique [0002] Point cloud 3D labeling refers to the task of 3D frame labeling of common obstacles on the point cloud data of single or multiple lidars in the same scene collected by the vehicle end, road end or other platforms. [0003] Point cloud 3D is divided into pure point cloud annotation (meaning that the original sensor data is only lidar data) and multi-sensor fusion annotation (such as image and point cloud fusion after annotation), but the current 3D point cloud annotation is too dependent on manual annotation. It is necessary to manually label each frame of point cloud data, which is slow and extremely expensive. Contents of the invention [0004] Embodiments of the present invention provide a point cloud labeling method, 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): G06K9/62G06N3/04G06N5/04G06K9/00
CPCG06N5/04G06V20/588G06V20/58G06N3/042G06F18/23G06F18/2135G06F18/10G06F18/214
Inventor 黎明慧李恒刘明
Owner 深圳一清创新科技有限公司
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