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Abdul Nabi, M and El-adaway, I H (2022) A Proactive Risk Assessment Framework to Maximize Schedule Benefits of Modularization in Construction Projects. Journal of Construction Engineering and Management, 148(07).
Ahmad, R, Nauman, S and Malik, S Z (2022) Tyrannical Leader, Machiavellian Follower, Work Withdrawal, and Task Performance: Missing Links in Construction Projects. Journal of Construction Engineering and Management, 148(07).
Assaad, R H, El-adaway, I H, Hastak, M and LaScola Needy, K (2022) Quantification of the State of Practice of Offsite Construction and Related Technologies: Current Trends and Future Prospects. Journal of Construction Engineering and Management, 148(07).
Assaad, R H, El-adaway, I H, Hastak, M and LaScola Needy, K (2022) The Impact of Offsite Construction on the Workforce: Required Skillset and Prioritization of Training Needs. Journal of Construction Engineering and Management, 148(07).
Brandalise, F M P, Formoso, C T and Viana, D D (2022) Development of a Typology for Understanding Visual Management Concepts and Their Relationships. Journal of Construction Engineering and Management, 148(07).
Chen, L, Zhang, J and Peng, W (2022) Research on the Hierarchical Discrete Time-Cost Trade-Off Problem for Program. Journal of Construction Engineering and Management, 148(07).
Jayaraj, S, Doerfel, M L and Williams, T (2022) Clique to Win: Impact of Cliques, Competition, and Resources on Team Performance. Journal of Construction Engineering and Management, 148(07).
Khan, M, Khalid, R, Anjum, S, Tran, S V and Park, C (2022) Fall Prevention from Scaffolding Using Computer Vision and IoT-Based Monitoring. Journal of Construction Engineering and Management, 148(07).
Kim, S, Hwang, S and Son, J (2022) Safety Management Guidelines for Precast Concrete Production Plants Using Importance-Performance Analysis. Journal of Construction Engineering and Management, 148(07).
Li, Y and Ning, Y (2022) Mitigating Opportunistic Behaviors in Consulting Projects: Evidence from the Outsourced Architectural and Engineering Design. Journal of Construction Engineering and Management, 148(07).
Li, Y, Soomro, M A, Khan, A N, Han, Y and Xue, R (2022) Impact of Ethical Leadership on Employee Turnover Intentions in the Construction Industry. Journal of Construction Engineering and Management, 148(07).
Li, Y, Wang, J, Cao, L, Wei, D and Wang, Y (2022) Three-Step Mathematical Model for Optimizing Rebar Cutting-Stock with Practical Application. Journal of Construction Engineering and Management, 148(07).
Mahmoud, S, Hussein, M, Zayed, T and Fahmy, M (2022) Multiobjective Optimization Model for the Life Cycle Cost-Sustainability Trade-Off Problem of Building Upgrading Using a Generic Sustainability Assessment Tool. Journal of Construction Engineering and Management, 148(07).
Martínez Fernández, P, Villalba Sanchís, I, Insa Franco, R and Yepes, V (2022) Slab Track Optimization Using Metamodels to Improve Rail Construction Sustainability. Journal of Construction Engineering and Management, 148(07).
Mucheti, A S and Albuquerque, P J R d (2022) Influence of Execution Speed on Displacements of Soil-Nailed Structures with Vertical Face in Urban Areas. Journal of Construction Engineering and Management, 148(07).
Shi, M, Wang, J, Li, Q, Cui, B, Guan, S and Zeng, T (2022) Accelerated Earth-Rockfill Dam Compaction by Collaborative Operation of Unmanned Roller Fleet. Journal of Construction Engineering and Management, 148(07).
Shi, Q, Chen, X, Xiao, C and Han, Y (2022) Network Perspective in Megaproject Management: A Systematic Review. Journal of Construction Engineering and Management, 148(07).
Spearing, L A, Bakchan, A, Hamlet, L C, Stephens, K K, Kaminsky, J A and Faust, K M (2022) Comparing Qualitative Analysis Techniques for Construction Engineering and Management Research: The Case of Arctic Water Infrastructure. Journal of Construction Engineering and Management, 148(07).
Wang, X, Arditi, D and Ye, K (2022) Coupling Effects of Economic, Industrial, and Geographical Factors on Collusive Bidding Decisions. Journal of Construction Engineering and Management, 148(07).
Xiao, B, Wang, Y and Kang, S (2022) Deep Learning Image Captioning in Construction Management: A Feasibility Study. Journal of Construction Engineering and Management, 148(07).
- Type: Journal Article
- Keywords: Deep learning; Image captioning; Construction machines; Feasibility study; Vision-based monitoring;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002297
- Abstract:
Deep learning image captioning methods are able to generate one or several natural sentences to describe the contents of construction images. By deconstructing these sentences, the construction object and activity information can be retrieved integrally for automated scene analysis. However, the feasibility of deep learning image captioning in construction remains unclear. To fill this gap, this research investigates the feasibility of deep learning image captioning methods in construction management. First, a linguistic schema for annotating construction machine images was established, and a captioning data set was developed. Then, six deep learning image captioning methods from the computer vision community were selected and tested on the construction captioning data set. In the sentence-level evaluation, the transformer-self-critical sequence training (Tsfm-SCST) method has obtained the best performance among six methods with the bilingual evaluation (BLEU)-1 score of 0.606, BLEU-2 of 0.506, BLEU-3 of 0.427, BLEU-4 of 0.349, metric for evaluation of translation with explicit ordering (METEOR) of 0.287, recall-oriented understudy for gisting evaluation (ROUGE) of 0.585, consensus-based image description evaluation (CIDEr) of 1.715, and semantic propositional image caption evaluation (SPICE) score of 0.422. In the element-level evaluation, the Tsfm-SCST method achieved an average precision of 91.1%, recall of 83.3%, and an F1 score of 86.6% for recognition of construction machine objects by deconstructing the generated sentences. This research indicates that deep learning image captioning is feasible as a method of generating accurate and precise text descriptions from construction images, with potential applications in construction scene analysis and image documentation.
Zhang, M and Ge, S (2022) Vision and Trajectory–Based Dynamic Collision Prewarning Mechanism for Tower Cranes. Journal of Construction Engineering and Management, 148(07).
Zhou, T, Zhu, Q, Shi, Y and Du, J (2022) Construction Robot Teleoperation Safeguard Based on Real-Time Human Hand Motion Prediction. Journal of Construction Engineering and Management, 148(07).