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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).
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).
- Type: Journal Article
- Keywords: Tower crane; Collision avoidance; Computer vision; Multiple object tracking; Trajectory prediction;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002309
- Abstract:
Tower cranes are very common at construction sites. As workers focus most of their attention on their own tasks, their ability to detect changes in the surrounding environment is reduced, and it is difficult to avoid the collision risk of heavy falling objects. To solve this problem, this study establishes a dynamic collision prewarning mechanism for tower crane construction based on vision and trajectory analysis by tracking and predicting the trajectories of loads and workers. Specifically, the proposed dynamic collision prewarning mechanism consists of three parts. First, Fairmultiple object tracking (FairMOT), a multiple object tracking algorithm based on deep learning, is used to detect and track workers and loads, and time-series data of their positions are obtained. Then a trajectory prediction model based on a transformer is applied to predict the trajectories of objects in the future (10 s) based on the historical data. Finally, safety rules are established by considering the locations, speeds, shapes, and sizes of loads and workers and their trajectories over a period of time. Risk levels for each worker are assigned to reduce the risk of collisions between workers and loads. Finally, the performance of the models is evaluated at a construction site. FairMOT has good tracking performance and can continuously track objects with short occlusion (2 s). Transformer-based trajectory prediction model has higher accuracy than other methods [e.g., social generative adversarial network (GAN), social long short-term memory (LSTM)]. The results of the study show that the proposed method can accurately predict the unsafe approach of workers and loads. The safety prewarning mechanism proposed in this study can help improve the safety of tower crane construction.
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).