Abstracts – Browse Results
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Abdel-Monem, M and Hegazy, T (2013) Enhancing Construction As-Built Documentation Using Interactive Voice Response. Journal of Construction Engineering and Management, 139(07), 895–8.
Aljassmi, H and Han, S (2013) Analysis of Causes of Construction Defects Using Fault Trees and Risk Importance Measures. Journal of Construction Engineering and Management, 139(07), 870–80.
Chen, L and Fong, P S W (2013) Visualizing Evolution of Knowledge Management Capability in Construction Firms. Journal of Construction Engineering and Management, 139(07), 839–51.
Chen, Q and Jin, R (2013) Multilevel Safety Culture and Climate Survey for Assessing New Safety Program. Journal of Construction Engineering and Management, 139(07), 805–17.
Chi, S, Han, S and Kim, D Y (2013) Relationship between Unsafe Working Conditions and Workers’ Behavior and Impact of Working Conditions on Injury Severity in U.S. Construction Industry. Journal of Construction Engineering and Management, 139(07), 826–38.
Dai, F and Lu, M (2013) Three-Dimensional Modeling of Site Elements by Analytically Processing Image Data Contained in Site Photos. Journal of Construction Engineering and Management, 139(07), 881–94.
El-Abbasy, M S, Zayed, T, Ahmed, M, Alzraiee, H and Abouhamad, M (2013) Contractor Selection Model for Highway Projects Using Integrated Simulation and Analytic Network Process. Journal of Construction Engineering and Management, 139(07), 755–67.
El-Diraby, T E (2013) Domain Ontology for Construction Knowledge. Journal of Construction Engineering and Management, 139(07), 768–84.
Hare, B, Cameron, I, Real, K J and Maloney, W F (2013) Exploratory Case Study of Pictorial Aids for Communicating Health and Safety for Migrant Construction Workers. Journal of Construction Engineering and Management, 139(07), 818–25.
Liu, Y S, Zhao, X F and Liao, Y P (2013) Market Structure, Ownership Structure, and Performance of China’s Construction Industry. Journal of Construction Engineering and Management, 139(07), 852–7.
Migliaccio, G C, Guindani, M, D’Incognito, M and Zhang, L (2013) Empirical Assessment of Spatial Prediction Methods for Location Cost-Adjustment Factors. Journal of Construction Engineering and Management, 139(07), 858–69.
Rezazadeh Azar, E, Dickinson, S and McCabe, B (2013) Server-Customer Interaction Tracker: Computer Vision–Based System to Estimate Dirt-Loading Cycles. Journal of Construction Engineering and Management, 139(07), 785–94.
- Type: Journal Article
- Keywords: Construction management; Automatic identification systems; Data collection; Imaging techniques; Earthmoving; Construction equipment; Construction management; Automatic identification systems; Data collection; Imaging techniques; Earthmoving; Construction
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000652
- Abstract:
Real-time monitoring of heavy equipment can help practitioners improve machine-intensive and cyclic earthmoving operations. It can also provide reliable data for future planning. Surface earthmoving job sites are among the best candidates for vision-based systems due to relatively clear sightlines and recognizable equipment. Several cutting-edge computer vision algorithms are integrated with spatiotemporal information, and background knowledge to develop a framework, called server-customer interaction tracker (SCIT), which recognizes and measures the dirt loading cycles. The SCIT system detects dirt loading plants, including excavator and dump trucks, tracks them, and then uses captured spatiotemporal data to recognize loading cycles. A novel hybrid tracking algorithm is developed for the SCIT system to track dump trucks under visually noisy conditions of loading zones. The developed framework was evaluated using videos taken under various conditions. The SCIT system with novel hybrid tracking engine demonstrated reliable performance as the comparison of the machine-generated and ground truth data showed high accuracy.
Zhang, L, He, J and Zhou, S (2013) Sharing Tacit Knowledge for Integrated Project Team Flexibility: Case Study of Integrated Project Delivery. Journal of Construction Engineering and Management, 139(07), 795–804.