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Ahmadian Fard Fini, A, Akbarnezhad, A, Rashidi, T H and Waller, S T (2018) Dynamic Programming Approach toward Optimization of Workforce Planning Decisions. Journal of Construction Engineering and Management, 144(02).
Chao, L and Kuo, C (2018) Neural-Network-Centered Approach to Determining Lower Limit of Combined Rate of Overheads and Markup. Journal of Construction Engineering and Management, 144(02).
Choi, B and Lee, S (2018) An Empirically Based Agent-Based Model of the Sociocognitive Process of Construction Workers’ Safety Behavior. Journal of Construction Engineering and Management, 144(02).
Du, J, Shi, Y, Zou, Z and Zhao, D (2018) CoVR: Cloud-Based Multiuser Virtual Reality Headset System for Project Communication of Remote Users. Journal of Construction Engineering and Management, 144(02).
El Meouche, R, Abunemeh, M, Hijaze, I, Mebarki, A and Shahrour, I (2018) Developing Optimal Paths for Evacuating Risky Construction Sites. Journal of Construction Engineering and Management, 144(02).
Fuller, J, Brown, C J and Crowley, R (2018) Performance-Based Maintenance Contracting in Florida: Evaluation by Surveys, Statistics, and Content Analysis. Journal of Construction Engineering and Management, 144(02).
Ghodoosi, F, Abu-Samra, S, Zeynalian, M and Zayed, T (2018) Maintenance Cost Optimization for Bridge Structures Using System Reliability Analysis and Genetic Algorithms. Journal of Construction Engineering and Management, 144(02).
Han, K, Degol, J and Golparvar-Fard, M (2018) Geometry- and Appearance-Based Reasoning of Construction Progress Monitoring. Journal of Construction Engineering and Management, 144(02).
- Type: Journal Article
- Keywords: Progress monitoring; Building information modeling (BIM); Images; Point cloud; Laser scan; Three-dimensional (3D) reconstruction; Material classification; Information technologies;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001428
- Abstract:
Although adherence to project schedules and budgets is most highly valued by project owners, more than 53% of typical construction projects are behind schedule and more than 66% suffer from cost overruns, partly because of an inability to accurately capture construction progress. To address these challenges, this paper presents new geometry- and appearance-based reasoning methods for detecting construction progress, which has the potential to provide more frequent progress measures using visual data that are already being collected by general contractors. The initial step of geometry-based filtering detects the state of construction of building information modeling (BIM) elements (e.g., in-progress, completed). The next step of appearance-based reasoning captures operation-level activities by recognizing different material types. Two methods have been investigated for the latter step: a texture-based reasoning for image-based 3D point clouds and color-based reasoning for laser-scanned point clouds. This paper presents two case studies for each reasoning approach to validate the proposed methods. The results demonstrate the effectiveness and practical significances of the proposed methods.
Kaminsky, J A (2018) National Culture Shapes Private Investment in Transportation Infrastructure Projects around the Globe. Journal of Construction Engineering and Management, 144(02).
Khanzadi, M, Nasirzadeh, F and Dashti, M S (2018) Fuzzy Cognitive Map Approach to Analyze Causes of Change Orders in Construction Projects. Journal of Construction Engineering and Management, 144(02).
Langdon, R R and Sawang, S (2018) Construction Workers’ Well-Being: What Leads to Depression, Anxiety, and Stress?. Journal of Construction Engineering and Management, 144(02).
Lessing, J and Brege, S (2018) Industrialized Building Companies’ Business Models: Multiple Case Study of Swedish and North American Companies. Journal of Construction Engineering and Management, 144(02).
Love, P E D, Teo, P and Morrison, J (2018) Revisiting Quality Failure Costs in Construction. Journal of Construction Engineering and Management, 144(02).
Moon, S, Xu, S, Hou, L, Wu, C, Wang, X and Tam, V W Y (2018) RFID-Aided Tracking System to Improve Work Efficiency of Scaffold Supplier: Stock Management in Australasian Supply Chain. Journal of Construction Engineering and Management, 144(02).
Praticò, F G and Giunta, M (2018) Proposal of a Key Performance Indicator for Railway Track Based on LCC and RAMS Analyses. Journal of Construction Engineering and Management, 144(02).
Rashid, K M and Behzadan, A H (2018) Risk Behavior-Based Trajectory Prediction for Construction Site Safety Monitoring. Journal of Construction Engineering and Management, 144(02).
Said, H M and Bartusiak, J (2018) Regional Competition Analysis of Industrialized Homebuilding Industry. Journal of Construction Engineering and Management, 144(02).
Said, H M and Kandimalla, P (2018) Performance Measurement of Building Sheet-Metal Ductwork Prefabrication under Batch Production Settings. Journal of Construction Engineering and Management, 144(02).
Sangiorgio, V, Uva, G and Fatiguso, F (2018) Optimized AHP to Overcome Limits in Weight Calculation: Building Performance Application. Journal of Construction Engineering and Management, 144(02).
Stanford, M S and Molenaar, K R (2018) Influence of Simplified Procurement Methods on Competition for Public Sector Construction. Journal of Construction Engineering and Management, 144(02).
Tran, D Q, Diraviam, G and Minchin, R E (2018) Performance of Highway Design-Bid-Build and Design-Build Projects by Work Types. Journal of Construction Engineering and Management, 144(02).
Xiao, J, Li, X, Zhang, Z and Zhang, J (2018) Ontology-Based Knowledge Model to Support Construction Noise Control in China. Journal of Construction Engineering and Management, 144(02).
Yiu, T W, Liu, T and Kwok, L C (2018) Explicating the Role of Relationship in Construction Claim Negotiations. Journal of Construction Engineering and Management, 144(02).