Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Trace norm based road visibility detection method

A detection method and visibility technology, which is applied in the direction of measuring devices, suspension and porous material analysis, particle suspension analysis, etc., can solve the problems of sensitivity to noise interference and small calculation amount, and achieve good robustness, small calculation error, and The effect of practicality and universality

Active Publication Date: 2018-12-07
NANJING UNIV
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Experiments have proved that the algorithm has the advantages of small amount of calculation and high calculation accuracy, but because the estimation and calculation of high-order powers are used in the operation process, the algorithm is relatively sensitive to noise interference

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
  • Trace norm based road visibility detection method
  • Trace norm based road visibility detection method
  • Trace norm based road visibility detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] Considering that the low-visibility image is a blurred image in terms of image quality, the variational algorithm can be used to identify small disturbances in the image, analyze the relationship between the image variation value and the distance, and fit the visibility value. On this basis, this embodiment proposes a visibility detection method based on the trace norm. Experiments prove that the method proposed in this embodiment has high detection accuracy and can better meet the visual characteristics of human eyes.

[0054] In order to further understand the solution of this embodiment, first introduce the following trace norm:

[0055] Just as the differentiation of a function is the linear principal part of the increment, the variation is the linear principal part of the increment of the functional. As the argument of the functional, the function x(t) at x 0 The increment of (t) is recorded as δx(t), which is the variation of the function:

[0056] δx(t)=x(t)-x ...

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

Belonging to the technical field of visibility detection, the invention discloses a trace norm based road visibility detection method. The method includes: firstly conducting camera calibration on acquired video images, and determining the vertical distance from a point on an actual road surface to a camera coordinate system; according to the existing visibility detection theory and actual visibility data, regarding the extinction coefficient k as the function k(t) of time t, and assuming the extinction coefficient function k(t) as a constant near the moment t0, based on the trace norm, utilizing the visibility monitoring image frame at the t0 moment for curve fitting, and when the fitted curve is close to an actual brightness curve, acquiring the extinction coefficient of the moment; forthe continuous several frames nearby the t0 moment, working out the extinction coefficients of the frames respectively and taking the average, thus obtaining an extinction coefficient value nearby thet0 moment; and carrying out solving repeatedly to obtain extinction coefficient values of several moments, and finally working out the visibility values of different moments. The detection method provided by the invention has the characteristics of good robustness, high accuracy, compatibility with high-speed road condition video monitoring system, practicability and universality.

Description

technical field [0001] The present invention relates to the technical field of road visibility detection, more specifically, to a road visibility detection method based on trace norm. Background technique [0002] In the case of bad weather, the visibility of the road surface is reduced, and the driver's mood is also affected, which is one of the main factors affecting the occurrence of traffic accidents. Therefore, it is of great significance to study road visibility detection methods and algorithms in disaster weather for improving the accuracy of road visibility detection and alleviating traffic conflicts. [0003] Visibility is defined by the International Commission on Illumination (CIE), and the specific content is: the maximum distance of an object that can be recognized by the naked eye without any assistance is called the current visibility distance. Scattering of light by solid and liquid particles suspended in the atmosphere is a major contributor to visibility, ...

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): G01N15/06
CPCG01N15/06G01N15/075
Inventor 郁健李勃陈启美成孝刚
Owner NANJING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products