Open AccessSTEREO VISION METHOD APPLICATION TO ROAD INSPECTION
Author(s) -
Marcin Staniek
Publication year - 2017
Publication title -
the baltic journal of road and bridge engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 21
eISSN - 1822-4288
pISSN - 1822-427X
DOI - 10.3846/bjrbe.2017.05
Subject(s) - computer vision , computer science , artificial intelligence , matching (statistics) , filter (signal processing) , stereopsis , set (abstract data type) , road surface , image processing , measure (data warehouse) , image (mathematics) , data mining , mathematics , engineering , statistics , civil engineering , programming language
The paper presents the stereo vision method for the mapping of road pavement. The mapped road is a set ofpoints in three-dimensional space. The proposed method of measurement and its implementation make it possible togenerate a precise mapping of a road surface with a resolution of 1 mm in transverse, longitudinal and vertical dimensions.Such accurate mapping of the road is the effect of application of stereo images based on image processing technologies.The use of matching measure CoVar, at the stage of images matching, help eliminate corner detection and filterstereo images, maintaining the effectiveness of the algorithm mapping. The proper analysis of image-based data andapplication of mathematical transformations enable to determine many types of distresses such as potholes, patches,bleedings, cracks, ruts and roughness. The paper also aims at comparing the results of proposed solution and referencetest-bench. The statistical analysis of the differences permits the judgment of error types.