Items with Index Term: real-time tracking
Aziz, Z; Anumba, C J and Peña-Mora, F (2010) Using context-aware wireless technologies to support teaching and learning in built environment. International Journal of Construction Education and Research, 6(1), pp. 18-29. ISSN 1557-8771
Chandrasiri, A P and Geekiyanage, D (2018) Real-time object detection system for building energy conservation: An IP camera-based system. In: Gorse, C and Neilson, C J (eds.) Proceedings of 34th Annual ARCOM Conference, 3-5 September 2018, Queen’s University, Belfast, UK.
El-Medany, W M; Al-Omary, A; Al-Hakim, R and Nusaif, M (2014) Low cost real-time tracking system prototype using gm862 cellular quad band module. Journal of Engineering, Design and Technology, 12(3), pp. 389-407.
Forsythe, P (2014) Proactive construction safety systems and the human factor. Proceedings of Institution of Civil Engineers: Management, Procurement and Law, 167(5), pp. 242-252. ISSN 17514304
Li, L; Cui, X; Wang, J; Jin, H and Xu, H (2026) Automated tracking of worker and heavy equipment on tunnel construction sites: Deep-learning framework. Journal of Construction Engineering and Management, 152(2): 04025237, ISSN 0733-9364
Lucko, G; Helinski, P O and Ballesteros-Pérez, P (2026) Universal model for performance and delay tracking of linear construction schedules. Journal of Construction Engineering and Management, 152(5): 04026035, ISSN 0733-9364
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(2): 04017106, ISSN 0733-9364
Triana-Granados, K V; Bernard, I R; Merlin, A; Lucko, G and Ballesteros-Pérez, P (2024) Graphical delay tracking for linear and repetitive schedules. Journal of Construction Engineering and Management, 150(8): 04024090, ISSN 0733-9364
Wang, Liannian (2025) Advancing construction requirements management through 4D BIM and generative AI. PhD thesis, North Carolina State University, USA.
Zhang, F; Liu, H; Chen, Z; Wang, L; Zhang, Q and Guo, L (2024) Collision risk warning model for construction vehicles based on YOLO and DeepSORT algorithms. Journal of Construction Engineering and Management, 150(6): 04024053, ISSN 0733-9364
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