A road surface disease detection method, device and storage medium

A detection method and disease technology, applied in the field of intelligent transportation, can solve problems that affect the accuracy of road surface disease information, vehicle bumps, and affect road surface maintenance operations, so as to improve the accuracy of disease measurement and ensure accuracy

Active Publication Date: 2022-02-01
SHENZHEN URBAN TRANSPORT PLANNING CENT +1
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for example, on long-distance and rough roads, vehicles equipped with cameras will often experience bumps, which will cause the relative positional relationship between the camera and the road surface to change continuously, thereby affecting the accuracy of the road surface disease information extracted from the images it captures. Accuracy, and affect the later maintenance of the road surface

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 road surface disease detection method, device and storage medium
  • A road surface disease detection method, device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0023] Such as figure 1 Shown, a kind of pavement disease detection method of the embodiment of the present invention, this method comprises the following steps:

[0024] At least three vehicle-mounted lasers are used to emit laser light to the road surface, and vehicle-mounted cameras connected to each of the vehicle-mounted lasers are used to collect road surface images, wherein the road surface image includes laser points projected by each of the vehicle-mounted lasers on the road surface.

[0025] Specifically, the vehicle-mounted laser may use a visible light laser, and at this time, the vehicle-mounted camera selects a corresponding visible light camera. The vehicle-mounted laser can also use an infrared lase...

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 road surface disease detection method, device and storage medium. The method includes: emitting laser light to the road surface through at least three vehicle-mounted lasers, and collecting road surface images through vehicle-mounted cameras connected to each of the vehicle-mounted lasers; acquiring image pixel coordinates corresponding to each of the laser points in the road surface image; according to the The image pixel coordinates obtain the ray vectors from the optical center of the vehicle camera to each of the laser points; based on ray intersection, obtain the pixel coordinates of the laser points on the road surface according to the unit projection vector and the ray vectors; A road surface normal vector is obtained according to the pixel coordinates, and a road surface reference point is obtained according to the pixel coordinates and the road surface normal vector. The technical scheme of the invention can ensure the accuracy of the image information of road surface diseases, so that the maintenance work on the road surface can be carried out more smoothly in the later stage.

Description

technical field [0001] The present invention relates to the technical field of intelligent transportation, in particular to a road surface disease detection method, device and storage medium. Background technique [0002] Pavement diseases, such as cracks, potholes, etc., have caused potential threats to road facilities and driving safety. It is a key operation to maintain pavement service performance and prevent its further degradation through road inspection to detect and treat pavement diseases in time. For road pavement disease detection, there is currently a way to collect road surface images through vehicle-mounted cameras, and information such as disease size can be extracted from them to provide engineering quantity reference for subsequent maintenance operations. However, for example, on long-distance and rough roads, vehicles equipped with cameras will often experience bumps, which will cause the relative positional relationship between the camera and the road sur...

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): G06K9/00G06T7/70G01S17/06
CPCG06T7/70G01S17/06
Inventor 贾磊陈李沐刘烨周崇毅覃美慧王天元阚倩
Owner SHENZHEN URBAN TRANSPORT PLANNING CENT
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