Automatic unstructured road boundary line extraction method based on vehicle-mounted laser point cloud

A vehicle-mounted laser and unstructured technology, applied in the direction of active optical measuring devices, instruments, measuring instruments, etc., can solve the problems of data accuracy loss, loss of accuracy, and reduction, so as to save work costs, improve the degree of extraction, and improve operations. efficiency effect

Inactive Publication Date: 2018-05-22
WUHAN UNIV
View PDF3 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method of extracting feature images based on point cloud conversion has a loss of accuracy, because in the process of converting a 3D point cloud into a 2D image, there is inevitably data interpolation, and the interpolation process directly leads to the loss and reduction of data accuracy
At present, there is no automatic extraction of unstructured road boundary lines directly using laser point cloud data.

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
  • Automatic unstructured road boundary line extraction method based on vehicle-mounted laser point cloud
  • Automatic unstructured road boundary line extraction method based on vehicle-mounted laser point cloud
  • Automatic unstructured road boundary line extraction method based on vehicle-mounted laser point cloud

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The technical solution of the present invention will be described in detail below in conjunction with the drawings and embodiments.

[0024] see figure 1 The method for automatically extracting unstructured road boundary lines based on vehicle-mounted laser point clouds provided by the embodiment of the present invention includes two key steps: road surface information extraction and road surface optimal contour line extraction.

[0025] The first step: road surface information extraction

[0026] Vehicle-mounted laser point cloud data has massive characteristics. Direct processing of massive discrete 3D point clouds will not only result in time-consuming and cumbersome data processing, but also cause higher requirements on hardware conditions in the calculation process, resulting in higher hardware costs. The extraction of road surface information first needs to preprocess the laser point cloud data to construct the spatial topology relationship between point sets, so...

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 an automatic unstructured road boundary line extraction method based on a vehicle-mounted laser point cloud. The method comprises steps: scanning line segmentation is carried out; a topology relation network is built; a moving window method is adopted to acquire ground points; clustering is carried out through a K nearest neighbor clustering method, a pseudo ground point cluster is eliminated according to the number of laser points in the point cluster, and road surface laser point cloud data are acquired; the outer contour point of the road surface laser point cloud data is set to be at the position of the road boundary line, outer contour boundary point extraction is carried out on each scanning line, two ground points with the farthest distance in each scanning line are acquired, and outer contour points at two sides of the road are finally acquired; clustering analysis is carried out, and a left contour point set and a right contour point set of the road areacquired; and boundary line tracking optimization is carried out to acquire the optimal boundary line. Extraction on an unstructured road and a road boundary can be quickly realized based on the laserpoint cloud data direction, an effective solution is provided for automatic unstructured road boundary line extraction, and the automatic road boundary line extraction degree is improved.

Description

technical field [0001] The invention belongs to the field of surveying and mapping geographic information construction, and in particular relates to a method for automatically extracting unstructured road boundary lines based on vehicle-mounted laser point clouds. Background technique [0002] Road boundary information is one of the important components of the current surveying and mapping geographic information construction. Its fine, accurate, efficient and fast automatic extraction technology is very important for new technologies, new directions and new fields such as unmanned driving, smart transportation, smart navigation and 3D maps. The rapid development of The automatic extraction of road boundary lines includes two types, the first is the automatic extraction of structured road boundary lines, and the second is the automatic extraction of unstructured road boundary lines. For the automatic extraction of the first road boundary line, directly use the curbs or curbs...

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): G06K9/00G06K9/62G01C15/00
CPCG01C15/002G06V20/588G06F18/23
Inventor 杨蒙蒙万幼川刘先林徐景中陈茂霖盛鹏
Owner WUHAN UNIV
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