DIGITISATION IN ROAD CONSTRUCTION: AUTOMATION OF AS-BUILT MODELS

被引:1
作者
De Winter, H. [1 ]
Bassier, M. [1 ]
Vergauwen, M. [1 ]
机构
[1] Katholieke Univ Leuven, Dept Civil Engn, Fac Engn Technol, TC Construct Geomat, Ghent, Belgium
来源
MEASUREMENT, VISUALISATION AND PROCESSING IN BIM FOR DESIGN AND CONSTRUCTION MANAGEMENT II | 2022年 / 46-5卷 / W1期
关键词
Road Construction; BIM; RTK-drone; Linked Data; Photogrammetry; Information Extraction;
D O I
10.5194/isprs-archives-XLVI-5-W1-2022-69-2022
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The construction industry is still one of the least digitised sectors worldwide and digitisation in the road construction sector in particular is even more dire. To improve the efficiency of the sector, it is of the utmost importance that construction monitoring tasks, i.e. progress, quality and quantity analyses, are automated. The goal of the presented framework is the automation of the following three vital interconnected subjects: (1) The systematic capture of remote sensing data with low-cost UAVs, (2) the information extraction from survey data and (3) the interlinking and exchange of interoperable BIM data (design, survey and extracted information) using Linked Data technologies. In this paper, the needed data for proper road construction digitisation and the desired data structure is discussed. Additionally, the automation of Real Time Kinematic (RTK)-flight processing is presented. The feasibility of the proposed workflow is examined based on real-life test cases. As a consequence of automation, the homogeneity of data across projects will increase. This will form the basis for further automation in road construction.
引用
收藏
页码:69 / 76
页数:8
相关论文
共 15 条
[1]  
Agarwal R., 2018, IMAGINING CONSTRUCTI, P1
[2]  
Agentschap Wegen & Verkeer, 2020, BIM UIT INFR 0 23
[3]  
Agentschap Wegen & verkeer, 2020, OTL INTR 66
[4]  
Agentschap Wegen & Verkeer,, 2020, TOP LEG, P367
[5]  
[Anonymous], 2019, AGISOFT METASHAPE VE
[6]   MANHOLE COVER LOCALIZATION IN AERIAL IMAGES WITH A DEEP LEARNING APPROACH [J].
Commandre, B. ;
En-Nejjary, D. ;
Pibre, L. ;
Chaumont, M. ;
Delenne, C. ;
Chahinian, N. .
ISPRS HANNOVER WORKSHOP: HRIGI 17 - CMRT 17 - ISA 17 - EUROCOW 17, 2017, 42-1 (W1) :333-338
[7]   ImageNet Classification with Deep Convolutional Neural Networks [J].
Krizhevsky, Alex ;
Sutskever, Ilya ;
Hinton, Geoffrey E. .
COMMUNICATIONS OF THE ACM, 2017, 60 (06) :84-90
[8]   Revisiting Quality Failure Costs in Construction [J].
Love, Peter E. D. ;
Teo, Pauline ;
Morrison, John .
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2018, 144 (02)
[9]   Integration of Field and Laboratory Spectral Data with Multi-Resolution Remote Sensed Imagery for Asphalt Surface Differentiation [J].
Mei, Alessandro ;
Salvatori, Rosamaria ;
Fiore, Nicola ;
Allegrini, Alessia ;
D'Andrea, Antonio .
REMOTE SENSING, 2014, 6 (04) :2765-2781
[10]  
Rasmussen M.H., 2018, SSN ISWC, P48