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Journal of Sensors
Volume 2018, Article ID 1343752, 9 pages
Research Article

Quality Assessment of Milling Pavement Surface Using 3D Line Laser Technology

School of Highway, Chang’an University, Middle Section of Nan Erhuan Road, Xi’an City, Shaanxi Province, China

Correspondence should be addressed to Mu Guo; moc.liamxof@tsez.umoug

Received 29 March 2018; Revised 28 June 2018; Accepted 15 July 2018; Published 8 August 2018

Academic Editor: Guiyun Tian

Copyright © 2018 Bing Hui et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


To ensure that a regular milled surface texture provides good bonding without residual distress, a new specification of milling surface assessment has been established for quantitatively evaluating the milled surface quality. This research explores the possibility of using three-dimensional (3D) laser scanning technology to develop an algorithm to obtain a milled surface model that can measure evaluating indicators, milling depth and texture depth, and identify poorly milled areas. A case study was conducted by using a laser scanning vehicular system to collect 3D continuous pavement transverse profiles data in a 500 m long segment of Highway S107. The results show that the proposed method is very promising and can measure the milling depth and texture depth to effectively and quantitatively differentiate between good- (milling depth between 47 mm and 53 mm and texture depth exceeding 2 mm) and poor-quality work. Moreover, the poorly milled areas such as those with residual distress and unmilled areas that will lead to premature failure can also be identified using the proposed method. The proposed method can effectively support remilling work and ensure the quality of the overlay pavement.