Detecting device and technology of pavement texture depth based on high precision 3D laser scanning technology
Creators
- 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/652/1/012063Additional details
Identifiers
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