APPLICATION OF MACHINE VISION TECHNOLOGY IN ROAD DETECTION

Civil Engineering Journal. 2018;2018(4):513-524 DOI 10.14311/CEJ.2018.04.0041

 

Journal Homepage

Journal Title: Civil Engineering Journal

ISSN: 1805-2576 (Online)

Publisher: Czech Technical University, Prague

Society/Institution: Czech Technical University in Prague, Faculty of Civil Engineering

LCC Subject Category: Technology: Engineering (General). Civil engineering (General)

Country of publisher: Czech Republic

Language of fulltext: Czech, English

Full-text formats available: PDF

 

AUTHORS

Qingzhe Zhang (Chang’an University, Key Laboratory of Road Construction Technology and Equipment,Ministry of Education of China, Xi’an, China)
Zhi Qin (Chang’an University, Key Laboratory of Road Construction Technology and Equipment,Ministry of Education of China, Xi’an, China)

EDITORIAL INFORMATION

Double blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 6 weeks

 

Abstract | Full Text

Machine vision was first applied in industrial manufacturing field, and now it is also used in road detection, with the rapid development and continuous innovation of computer technology and digital image processing technology. This study provides a detailed description of the application of machine vision technology in detection of pavement crack, such as crack image acquisition, preprocessing (image de-noising and enhancement), segmentation, and recognition technology. Further the application of machine vision technology in pavement compactness and evenness was introduced. Finally, based on the application of machine vision in other aspects of road detection, hopefully, this study can provide a reference for method of road detection.