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Title:

Accuracy Assessment of Light Detection and Range System for Slab Curvature Measurements

Accession Number:

01658410

Record Type:

Component

Abstract:

A stationary Light Detection and Ranging (LiDAR) system provides detailed three-dimensional (3D) georeferenced point clouds, enabling users to characterize pavement surface geometry. Despite their long presence in the market, stationary LiDAR systems are still new to pavement engineers and there are only a limited number of studies verifying their accuracy and precision. To bridge the gap, this study is carried out to perform laboratory and field tests investigating the accuracy and precision of a stationary LiDAR instrument with respect to slab curvature measurement. In the laboratory test, a wooden board was set up with painted reference points and a highly-accurate dial indicator was used to measure the vertical deflection when different loads were applied at the center of the board. LiDAR scans were performed to acquire 3D point clouds of the wooden surface, and from these clouds deformation values were estimated from a 3D modeling algorithm employing a low-order polynomial fit model and a thin-plate spline (TPS) fit model. The results were then compared to physical measurements from the dial indicator. Statistical analysis was conducted on the results to assess the accuracy and precision of the estimated deflections. In the field test, longitudinal profiles were acquired for a concrete pavement section using a standard class 1 profiler. These longitudinal profiles were compared to profiles sampled from the stationary LiDAR point cloud, and cross-correlation was calculated to investigate agreement among these profiles. Test results assured that this stationary LiDAR system could provide acceptable accuracy and precision for slab curvature measurements.

Supplemental Notes:

This paper was sponsored by TRB committee AFD20 Standing Committee on Pavement Condition Evaluation. Alternate title: Evaluation of Stationary Light Detection and Ranging System Scanning for Jointed Concrete Slab Shape Measurements.

Report/Paper Numbers:

18-00693

Language:

English

Authors:

Yang, Shuo
Alhasan, Ahmad
Ceylan, Halil
Kim, Sunghwan

Pagination:

7p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References; Tables

Subject Areas:

Highways; Pavements

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-00693

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:11AM