Open Access

ARTICLE

Improvement of Binocular Reconstruction Algorithm for Measuring 3D Pavement Texture Using a Single Laser Line Scanning Constraint

by Yuanyuan Wang^1,*, Rui Wang², Xiaofeng Ren³, Junan Lei²

1 Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle, Hubei University of Arts and Science, Xiangyang, 441053, China
2 School of Civil Engineering and Architecture, Hubei University of Arts and Science, Xiangyang, 441053, China
3 Enterprise Technical Center, Xiangyang Road & Bridge Construction Group Co., Ltd., Xiangyang, 441023, China

* Corresponding Author: Yuanyuan Wang. Email:

(This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)

Computer Modeling in Engineering & Sciences 2023, 136(2), 1951-1972. https://doi.org/10.32604/cmes.2023.026112

Received 17 August 2022; Accepted 12 October 2022; Issue published 06 February 2023

Abstract

The dense and accurate measurement of 3D texture is helpful in evaluating the pavement function. To form dense mandatory constraints and improve matching accuracy, the traditional binocular reconstruction technology was improved threefold. First, a single moving laser line was introduced to carry out global scanning constraints on the target, which would well overcome the difficulty of installing and recognizing excessive laser lines. Second, four kinds of improved algorithms, namely, disparity replacement, superposition synthesis, subregion segmentation, and subregion segmentation centroid enhancement, were established based on different constraint mechanism. Last, the improved binocular reconstruction test device was developed to realize the dual functions of 3D texture measurement and precision self-evaluation. Results show that compared with traditional algorithms, the introduction of a single laser line scanning constraint is helpful in improving the measurement's accuracy. Among various improved algorithms, the improvement effect of the subregion segmentation centroid enhancement method is the best. It has a good effect on both overall measurement and single point measurement, which can be considered to be used in pavement function evaluation.

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Keywords

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