The estimation of stereovision precision in road inspection-Reference-Cited by-同舟云学术

The estimation of stereovision precision in road inspection

Published:2014-12-11 Issue:4 Volume:13 Page:259-266
ISSN:2544-3275
Container-title:Budownictwo i Architektura
language:
Short-container-title:Bud-Arch

Author:

Staniek Marcin^ORCID

Abstract

The estimation of stereovision precision in road inspection was determined by the analysis of the distribution of differences between measurements: the stereo vision method and the method of direct measurement with the use of laser distance meter. The carried out analysis is aimed at verifying the type of mapping error of a road surface. The input data was obtained from 160 measurement sections which feature both a different type and a different condition of road pavement. The estimated method of road inspection is based on the stereo vision method of surface representation. Spatial representation of the road is obtained from the images recorded through taking stereo sequences of images by the measurement vehicle moving along the studied section of the road. The proper analysis of the image-based data and the application of mathematical transformations allow for determination of technical and functional parameters of the road. Spatial description allows for a precise evaluation of the state of a road pavement, which in traditional methods of image processing, without information about the depth, is difficult to be achieved and often burdened with errors of qualification of road distresses.

Publisher

Politechnika Lubelska

Subject

Earth-Surface Processes

Reference24 articles.

1. M. Mustaffar, T. C. Ling , O. C. Puan, “Automated Pavement Imaging Program for pavement cracks classification and quantification – a photogrammetric approach”, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B4) pp. 367-372 (2008).

2. Si-Jie Yu, S. R. Sukumar, A. F. Koschan, D. L. Page, M. A. Abidi, “ 3D reconstruction of road surfaces using an integrated multi-sensory approach”, Optics and Lasers in Engineering 45(7), pp. 808-818 (2007).

3. J. L. Vilaçaa, J. C. Fonsecac, A.C.M. Pinhod, E. Freitase, “3D surface profile equipment for the characterization of the pavement texture – TexScan”, Mechatronics 20(6), pp. 674-685 (2010).

4. J. L. Vilaça, J. C. Fonseca, A. M. Pinho, “Non-contact 3D acquisition system based on stereo vision and laser triangulation”, Machine Vision and Applications 21(3), pp. 341-350 (2010).

5. Y. He, J. Wang, H. Qiu; W. Zhang, J. Xie, “A research of pavement potholes detection based on three-dimensional projection transformation”, Proc. of 4th International Congress on Image and Signal Processing (CISP) 4, pp. 1805-1808 (2011).