Published October 1, 2019 | Version v1
Journal article

Detecting device and technology of pavement texture depth based on high precision 3D laser scanning technology

  • 1. School of Transportation, Southeast University, Nanjing 211189 (China)

Description

The pavement means texture depth (MTD) is part of the most significant indexes to the characteristics of the pavement macrostructure. Traditional measuring MTD methods are easily impacted by the human factors with inefficiency and low-accuracy. In order to realize the automatic detection of the MTD, a high precision asphalt pavement MTD detection system is built based on three-dimensional line laser scanning, and a MTD calculation method based on the line laser three-dimensional (3-D) data is proposed. Firstly, the 3-D elevation data are extracted from the obtained linear structure light images. Secondly, a denoising algorithm based on two-way standard deviation filter is presented for the 3-D elevation data. Finally, a MTD calculation method based on the line laser 3-D elevation data is designed. The MTD of five asphalt specimens with different roughness was measured by the calculation method designed in this study and sand patch measurements, respectively, and the results were comparable. The research demonstrates that the error between the calculation result of this algorithm and that of sand patch measurements is not more than 5%, which further proves the feasibility of this algorithm. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/652/1/012063

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
652
Journal Issue
1
Journal Page Range
[7 p.]
ISSN
1757-899X

Conference

Title
4. International Conference on Civil Engineering and Materials Science
Acronym
ICCEMS 2019
Dates
17-19 May 2019
Place
Bangkok (Thailand)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53007215
Subject category
S42: ENGINEERING; S36: MATERIALS SCIENCE;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ACCURACY; ALGORITHMS; ASPHALTS; CALCULATION METHODS; DESIGN; DETECTION; ERRORS; LASERS
Descriptors DEC
BITUMENS; MATHEMATICAL LOGIC; ORGANIC COMPOUNDS; OTHER ORGANIC COMPOUNDS; TAR