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Ayodele, O A, Chang-Richards, A and González, V (2020) Factors Affecting Workforce Turnover in the Construction Sector: A Systematic Review. Journal of Construction Engineering and Management, 146(02).
Balali, V, Zalavadia, A and Heydarian, A (2020) Real-Time Interaction and Cost Estimating within Immersive Virtual Environments. Journal of Construction Engineering and Management, 146(02).
Bayat, M, Khanzadi, M and Nasirzadeh, F (2020) Bargaining Game Model to Determine Concessionary Items in Build-Operate-Transfer Contracts. Journal of Construction Engineering and Management, 146(02).
Bhandari, S, Hallowell, M R, Boven, L V, Welker, K M, Golparvar-Fard, M and Gruber, J (2020) Using Augmented Virtuality to Examine How Emotions Influence Construction-Hazard Identification, Risk Assessment, and Safety Decisions. Journal of Construction Engineering and Management, 146(02).
Cheng, J C P, Chen, K and Chen, W (2020) State-of-the-Art Review on Mixed Reality Applications in the AECO Industry. Journal of Construction Engineering and Management, 146(02).
Enshassi, M S A, Walbridge, S, West, J S and Haas, C T (2020) Dynamic and Proactive Risk-Based Methodology for Managing Excessive Geometric Variability Issues in Modular Construction Projects Using Bayesian Theory. Journal of Construction Engineering and Management, 146(02).
Gao, S, Song, X and Ding, R (2020) Promoting Information Transfer in Collaborative Projects through Network Structure Adjustment. Journal of Construction Engineering and Management, 146(02).
Hong, Y, Hammad, A, Zhong, X, Wang, B and Akbarnezhad, A (2020) Comparative Modeling Approach to Capture the Differences in BIM Adoption Decision-Making Process in Australia and China. Journal of Construction Engineering and Management, 146(02).
Hou, X, Zeng, Y and Xue, J (2020) Detecting Structural Components of Building Engineering Based on Deep-Learning Method. Journal of Construction Engineering and Management, 146(02).
- Type: Journal Article
- Keywords: Intelligence construction management; Engineering structural components; Object detection; Deep learning; Deeply Supervised Object Detector (DSOD);
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001751
- Abstract:
Detecting engineering structural components is the basis for intelligently managing construction engineering quality, scheduling, and costs. However, the detection of engineering structural components still cannot be done reliably and effectively by any technical means. Following a detailed analysis of existing object detection algorithms, an automatic method for building structural component detection based on the Deeply Supervised Object Detector (DSOD) is proposed. Compared with other algorithms, DSOD only needs limited data and can obtain the highest level of object detection by training from scratch. To verify the effectiveness of the method, based on the entity-scale reduction model of a building structure, a combined image data set of engineering structural components is established by multilayer, polymorphic, multidirectional, multiangle, structural data acquisition. Following the definitions of true positive, false positive, and false negative, the precision and recall rate of structural component detection at different shooting angles, different visual ranges, and different occlusion degrees were tested with a confidence threshold of 0.7. The experimental results show that the method has high detection precision, high recall rate, and high speed. It can effectively solve the problem of the detection of structural component of building engineering and provide practical guidance on how to scientifically collect engineering structural component images at construction sites.
John, S T, Roy, B K, Sarkar, P and Davis, R (2020) IoT Enabled Real-Time Monitoring System for Early-Age Compressive Strength of Concrete. Journal of Construction Engineering and Management, 146(02).
Ma, H, Zeng, S, Lin, H and Zeng, R (2020) Impact of Public Sector on Sustainability of Public–Private Partnership Projects. Journal of Construction Engineering and Management, 146(02).
Ma, X, Chan, A P C, Li, Y, Zhang, B and Xiong, F (2020) Critical Strategies for Enhancing BIM Implementation in AEC Projects: Perspectives from Chinese Practitioners. Journal of Construction Engineering and Management, 146(02).
Milberg, C T and Tommelein, I D (2020) Methods for Managing Tolerance Compatibility: Windows in Cast-in-Place Concrete. Journal of Construction Engineering and Management, 146(02).
Sharma, V, Caldas, C H and Mulva, S P (2020) Identification and Prioritization of Factors Affecting the Overall Project Cost of Healthcare Facilities. Journal of Construction Engineering and Management, 146(02).
Sherratt, F and Leicht, R (2020) Unpacking Ontological Perspectives in CEM Research: Everything Is Biased. Journal of Construction Engineering and Management, 146(02).
Swei, O (2020) Forecasting Infidelity: Why Current Methods for Predicting Costs Miss the Mark. Journal of Construction Engineering and Management, 146(02).
Syed, A and Sonparote, R S (2020) Development and Early-Age Performance of an Innovative Prestressed Precast Concrete Pavement. Journal of Construction Engineering and Management, 146(02).
Trinh, M T and Feng, Y (2020) Impact of Project Complexity on Construction Safety Performance: Moderating Role of Resilient Safety Culture. Journal of Construction Engineering and Management, 146(02).
Zhou, M, Liu, Y, Wang, K and Fahmi Hassanein, M (2020) New Asynchronous-Pouring Rapid-Construction Method for Long-Span Prestressed Concrete Box Girder Bridges with Corrugated Steel Webs. Journal of Construction Engineering and Management, 146(02).
Zuluaga, C M, Albert, A and Winkel, M A (2020) Improving Safety, Efficiency, and Productivity: Evaluation of Fall Protection Systems for Bridge Work Using Wearable Technology and Utility Analysis. Journal of Construction Engineering and Management, 146(02).