MATEC Web Conf.
Volume 275, 20191st International Conference on Advances in Civil Engineering and Materials (ACEM1) and 1st World Symposium on Sustainable Bio-composite Materials and Structures (SBMS1) (ACEM2018 and SBMS1)
|Number of page(s)||8|
|Section||Road and Bridge Engineering|
|Published online||13 March 2019|
Acquisition method of asphalt pavement texture information based on the CPR Technology
School of Transportation, Southeast University, Nanjing 211189, China
In order to obtain the asphalt pavement texture information in real time and accurately monitor the anti-skid performance of the road pavement, an automatic close range photogrammetry system (ACPR system) was proposed and built based on the circle arranged three cameras close range photogrammetry (CPR) technology to obtain the asphalt pavement surface texture. Automatic image acquisition and 3D reconstruction were achieved by the ACPR system. Sand patch method and laser scanning method (ZGScan) were used to collect the on-site comparison test of the asphalt pavement texture. Mean texture depth (MTD) and root mean square roughness (RSMR) were chosen as the statistical indicators of road surface texture. The results show that the texture data obtained by ACPR system has relatively high accuracy and efficiency, and the recognition accuracy is close to 0.02mm. The ACPR system improves the efficiency and accuracy of traditional close range photogrammetry and provides real-time and effective road surface anti-skid information for subsequent safety braking of autonomous vehicle.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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