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Automated extraction of expressway road surface from mobile laser scanning data

Journal of Central South University 2020年第7期27卷 1917-1938页

作者： TRAN Thanh Ha TAWEEP Chaisomphob School of Civil Engineering and Technology Sirindhorn International Institute of TechnologyThammasat UniversityPathumthani 12121Thailand

This paper presents a voxel-based region growing method for automatic road surface extraction from mobile laser scanning point clouds in an expressway *** proposed method has three major steps:constructing a voxel model;extracting the road surface points by employing the voxel-based segmentation algorithm;refining the road boundary using the curb-based segmentation *** evaluate the accuracy of the proposed method,the two-point cloud datasets of two typical test sites in an expressway environment consisting of flat and bumpy surfaces with a high slope were *** proposed algorithm extracted the road surface successfully with high *** was an average recall of 99.5%,the precision was 96.3%,and the F1 score was 97.9%.From the extracted road surface,a framework for the estimation of road roughness was *** agreement was achieved when comparing the results of the road roughness map with the visual image,indicating the feasibility and effectiveness of the proposed framework.

关键词： mobile laser scanning segmentation road surface expressway voxelization point cloud

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CHARACTERIZATION OF road surfaceS USING A MOBILE GONIO-REFLECTOMETER

CHARACTERIZATION OF ROAD SURFACES USING A MOBILE GONIO-REFLE...

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26th Session of the CIE

作者： R-Tech-Schreder University of Liège FRANKINET Marc GILLET MarcLANG VincentLONGUEVILLE Jean-LouisMAGHE LaurentMARVILLE Christian CASTELLANA Christophe DEBERGH NathalieEMBRECHTS Jean-Jacques

＜正＞***: Having a good knowledge of road surface characteristics can lead to a better quality of lighting installations and cost *** is indeed important to know these characteristics in order to estimate the luminan... 详细信息

关键词： Gonio-reflectometer roadway lighting reflection characterization road surface Iuminanc mobile measurement site

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Characterization of road surfacing aggregates based on their mineralogical fingerprint

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Journal of Traffic and Transportation Engineering(English Edition) 2022年第5期9卷 880-891页

作者： Dawei Wang Yulin He Chonghui Wang Zeyu Zhang Guoyang Lu Pengfei Liu Markus Oeser School of Transportation Science and Engineering Harbin Institute of TechnologyHarbin 150090China Institute of Highway Engineering RWTH Aachen UniversityAachen 52074Germany Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHong KongChina

To ensure the safety of infrastructure users,the long-term skid resistance is a crucial factor and is determined in large by the mineralogical and morphological characteristics of surfacing *** studies have investigated these aggregate properties separately without considering the interrelation between one *** objective of this study is to consider the morphological characteristics as well as the mineralogical fingerprint of aggregate to develop an innovative approach to optimize the aggregate selection *** investigations are based on 11 different aggregate types with a broad range of mineralogy,commonly used in *** long-term influence of polishing and wearing on the surface aggregate was simulated by means of the Aachen Polishing Machine and the MicroDeval test *** evaluate the impact of these tests,the aggregate shape was characterized by means of an imaging system called Aggregate Image Measurement System while the skid resistance of aggregates was evaluated with the British Pendulum *** test results show that the quartz and calcite are the key crystals to determine the anti-wear resistance of aggregates.A correlation between the skid resistance,morphological properties and mineralogy is derived,which proves the mineralogical fingerprint technology is practical for characterization of aggregates used in pavement surface layers.

关键词： Skid resistance Morphological properties Mineralogical fingerprint identification road surface Accelerating polish

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