A road image-based wet and slippery detection method

A detection method and image technology, applied in the field of computer vision, can solve the problems of restricting the effective management of road monitoring, easily causing omissions, and heavy workload, so as to improve the operation service and safety level, reduce maintenance and operation costs, and improve work efficiency. Effect

Inactive Publication Date: 2016-04-06
SOUTHWEST JIAOTONG UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the road condition monitoring of the highway system, it is still necessary to manually view and judge the images of each road, which is time-consuming, laborious, heavy workload, and easily leads to omissions
This manual viewing method and means of highway video surveillance has lagged far behind the development needs of highways, which has restricted the effective management of highway surveillance to a certain extent.

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 image-based wet and slippery detection method
  • A road image-based wet and slippery detection method
  • A road image-based wet and slippery detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] For the convenience of describing more clearly the details of the present invention, the main steps of the present invention are described in detail as follows:

[0022] Step 1: Extract road images. Let I r is the highway pavement image that needs to be extracted, and I r The value of all pixels inside is initialized to 0. Let I pre , I aft are any two consecutive frames in the road image sequence, where I pre is the previous frame, I aft for the next frame. I pre with I aft Perform differential operations to obtain a differential image, and sequentially perform binarization, erosion, and expansion operations on the differential image to obtain a binary image I b ;Scan the image I sequentially from top to bottom and from left to right b , when a pixel with a value of 1 is scanned, the pixel position (x, y) is recorded, and the I pre After multiplying the pixel value at (x, y) position by the refresh coefficient λ, it is accumulated to I r The pixel at (x,y) ...

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 road image based road surface slippery situation detecting method. A digital image processing method is adopted to detect the slippery situation of a highway automatically and realize automatic alarm. The road image based road surface slippery situation detecting method comprises three functional modules below: 1) extracting a highway image; 2) calculating a road surface reflectance and acutance; 3) estimating the slippery situation of the highway. The road image based road surface slippery situation detecting method can detect highway slippery situation in a highway monitoring video in time and exactly, replaces manual judgment, reduces workload and improves efficiency.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a wet and slippery road detection method based on high-level road images. Background technique [0002] The development of highways has made people's travel more convenient, and has also strongly promoted the rapid progress of my country's economic construction. However, with the rapid expansion of the highway system, the requirements for highway maintenance are also constantly increasing. At present, the technology and means of most domestic highway systems in terms of road condition monitoring, highway data collection and performance evaluation are still far behind the road, especially the highway management needs, which has become a limit to the further development of my country's highway management level to a certain extent. the bottleneck. [0003] At present, there is no intelligent video analysis and management platform for road slippery detection. For the road ...

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): G08G1/048G06T7/00
Inventor 陈俊周袁萍吴晓何俊彦彭强
Owner SOUTHWEST JIAOTONG 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap