Items with Index Term: object detection

Aljagoub, D (2025) Enhancing delamination detection and monitoring of concrete bridges through infrared thermography, deep learning, field data, and numerical simulations. PhD thesis, University of Delaware, USA.

Bao, S; Bu, H and Rui, N (2025) Computer vision-based recognition of spatial relevance between engineering vehicles and workers for monitoring struck-by accidents. Journal of Construction Engineering and Management, 151(11): 04025163, ISSN 0733-9364

Chan, Y K; Huang, C H; Chao Yi, N; Tseng, H H; Lin, C H; Chang, R F and Chan, M H (2026) A study of detection systems for safety guardrails at construction sites: Innovative applications of image processing and perspective correction. Journal of Construction Engineering and Management, 152(4): 04026018, ISSN 0733-9364

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.

Changwang, S; Shaowei, H; Haifen, Z; Fuqu, P; Changxi, S and Hao, Q (2024) Automatic detection of water supply pipe defects based on underwater image enhancement and improved yolox. Journal of Construction Engineering and Management, 150(10): 04024134, ISSN 0733-9364

Chen, Q; Long, D; Wang, S; Chen, Q and Yuan, B (2025) Real-time detection of personal protective equipment violations for construction workers using semisupervised learning and video clips. Journal of Construction Engineering and Management, 151(3): 04024213, ISSN 0733-9364

Dabash, M S (2022) Applications of computer vision to improve construction site safety and monitoring. PhD thesis, University of Delaware, USA.

Ekanayake, B; Ahmadian Fard Fini, A; Wong, J K W and Smith, P (2024) A deep learning-based approach to facilitate the as-built state recognition of indoor construction works. Construction Innovation, 24(4), pp. 933-949. ISSN 1471-4175

Elghaish, F; Matarneh, S T and Alhusban, M (2022) The application of "deep learning" in construction site management: Scientometric, thematic and critical analysis. Construction Innovation, 22(3), pp. 580-603. ISSN 1471-4175

Fan, C L (2026) Crack identification and severity analysis via computer vision: Comparative study of rgb and grayscale imagery. Journal of Construction Engineering and Management, 152(3): 04026004, ISSN 0733-9364

Fan, C L (2025) Evaluation model for crack detection with deep learning: Improved confusion matrix based on linear features. Journal of Construction Engineering and Management, 151(3): 04024077, ISSN 0733-9364

Ferguson, M (2020) Improving mobile robot navigation with dynamic building information models and stochastic neural control. PhD thesis, Stanford University, USA.

Gugssa, M; Li, L; Pu, L; Gurbuz, A; Luo, Y and Wang, J (2025) Enabling near-real-time safety glove detection through edge computing and transfer learning: comparative analysis of edge and cloud computing-based methods. Engineering, Construction and Architectural Management, 32(7), pp. 4700-4717. ISSN 0969-9988

Han, S; Jiang, Y; Huang, Y; Wang, M; Bai, Y and Spool-White, A (2023) Scan2drawing: Use of deep learning for as-built model landscape architecture. Journal of Construction Engineering and Management, 149(5): 04023027, ISSN 0733-9364

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(2): 04019097, ISSN 0733-9364

Huang, Q; Chen, Y; Li, Y; Liu, S; Fan, Z; Chen, X and Chen, J (2026) Maco: An open-image data set with multiannotation strategies for building material counting. Journal of Construction Engineering and Management, 152(4): 04026008, ISSN 0733-9364

Hwang, Y; Kim, T; Ryu, J and Yang, K (2025) Collaborative bricklaying with a robotic arm using a head-mounted camera in construction. Journal of Construction Engineering and Management, 151(12): 04025204, ISSN 0733-9364

Jiang, S; Wang, S; Sun, H; Liu, W; Xiao, B; Cha, H S and Zhang, J (2025) Enhancing quality management: Lightweight detection and risk warning of concrete cracks and rebar exposure using improved YOLOv8. Journal of Construction Engineering and Management, 151(8): 04025087, ISSN 0733-9364

Kamari, M and Ham, Y (2025) Advancing 3D object detection and segmentation in construction jobsites using an open vocabulary approach. Journal of Construction Engineering and Management, 151(10): 04025141, ISSN 0733-9364

Li, J.; Chen, Z.; Li, Z.; Kong, L. and Zhang, H. (2026) Integrating computer vision and audio signals for concrete vibration activity recognition and assessment. Journal of Construction Engineering and Management, 152(7): 04026099, ISSN 0733-9364

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

Li, H; Luo, X and Skitmore, M (2020) Intelligent hoisting with car-like mobile robots. Journal of Construction Engineering and Management, 146(12): 04020136, ISSN 0733-9364

Li, J; Zhou, G; Li, D; Zhang, M and Zhao, X (2023) Recognizing workers' construction activities on a reinforcement processing area through the position relationship of objects detected by faster r-CNN. Engineering, Construction and Architectural Management, 30(4), pp. 1657-1678. ISSN 0969-9988

Liang, Y and Xu, Z (2025) Intelligent inspection of appearance quality for precast concrete components based on improved YOLO model and multi-source data. Engineering, Construction and Architectural Management, 32(3), pp. 1691-1714. ISSN 0969-9988

Liu, C; M.E. Sepasgozar, S; Shirowzhan, S and Mohammadi, G (2022) Applications of object detection in modular construction based on a comparative evaluation of deep learning algorithms. Construction Innovation, 22(1), pp. 141-159. ISSN 1471-4175

Ma, L.; Chen, C.; Zhou, W. and Wang, B. (2026) A real-time high-accuracy framework for small-scale ppe detection in complex construction environments. Journal of Construction Engineering and Management, 152(8): 04026107, ISSN 0733-9364

Mahamivanan, H; Ghassemi, N; Tayarani Darbandy, M; Shoeibi, A; Hussain, S; Nasirzadeh, F; Alizadehsani, R; Nahavandi, D; Khosravi, A and Nahavandi, S (2025) Material recognition for construction quality monitoring using deep learning methods. Construction Innovation, 25(3), pp. 732-760. ISSN 1471-4175

Mansoor, A; Liu, S; Ali, G M; Bouferguene, A and Al-Hussein, M (2023) A deep-learning classification framework for reducing communication errors in dynamic hand signaling for crane operation. Journal of Construction Engineering and Management, 149(2): 4022167, ISSN 0733-9364

Mansuri, L E and Patel, D A (2022) Artificial intelligence-based automatic visual inspection system for built heritage. Smart and Sustainable Built Environment, 11(3), pp. 622-646. ISSN 2046-6099

Mei, X; Zhou, X; Xu, F and Zhang, Z (2023) Human intrusion detection in static hazardous areas at construction sites: Deep learning-based method. Journal of Construction Engineering and Management, 149(1): 04022142, ISSN 0733-9364

Naghshbandi, S N; Varga, L and Hu, Y (2022) Technology capabilities for an automated and connected earthwork roadmap. Construction Innovation, 22(4), pp. 768-788. ISSN 1471-4175

Naghshbandi, Seyedeh Neda (2022) Technology capabilities for safe and resilient coordination of automated earthwork systems: a decentralized multi-agent system approach. PhD thesis, University College London, UK.

Ngoc-Thoan, N; Bui, D Q T; Tran, C N N and Tran, D H (2024) Improved detection network model based on yolov5 for warning safety in construction sites. International Journal of Construction Management, 24(9), pp. 1007-1017. ISSN 1562-3599

Paik, S; Kim, J; Kim, Y and Kim, H (2025) Safety analysis and localization of scaffold joints using uav-acquired images. Journal of Construction Engineering and Management, 151(12): 04025194, ISSN 0733-9364

Pham, S V H and Nguyen, K V T (2025) Performance review of RTI IMS software for automatic road surface damages identification. International Journal of Construction Management, 25(4), pp. 439-455. ISSN 1562-3599

Rampini, L and Re Cecconi, F (2024) Synthetic images generation for semantic understanding in facility management. Construction Innovation, 24(1), pp. 33-48. ISSN 1471-4175

Rodrigo, N; Omrany, H; Chang, R and Zuo, J (2024) Leveraging digital technologies for circular economy in construction industry: A way forward. Smart and Sustainable Built Environment, 13(1), pp. 85-116. ISSN 2046-6099

Shen, Xiaohan (2025) Vision-based information management using digital construction knowledge graphs to integrate data in digital twins for prefabricated construction. PhD thesis, University of New South Wales, Australia.

Shi, M; Chen, C; Xiao, B and Seo, J (2024) Vision-based detection method for construction site monitoring by integrating data augmentation and semisupervised learning. Journal of Construction Engineering and Management, 150(5): 04024027, ISSN 0733-9364

Tan, Y; Deng, T; Zhou, J and Zhou, Z (2024) Lidar-based automatic pavement distress detection and management using deep learning and BIM. Journal of Construction Engineering and Management, 150(7): 04024069, ISSN 0733-9364

Tang, Y; Liu, C; Feng, K; Yang, X; Li, X and Leng, X (2025) Identifying struck-by hazards in unknown lifting loads: A hybrid computer vision approach. Journal of Construction Engineering and Management, 151(10): 04025146, ISSN 0733-9364

Teizer, J (2006) Real-time spatial modeling to detect and track resources on construction sites. PhD thesis, University of Texas at Austin, USA.

Tran, D Q; Jeon, Y; Aboah, A; Bak, J; Park, M and Park, S (2025) Leveraging semisupervised learning for domain adaptation: Enhancing safety at construction sites through long-tailed object detection. Journal of Construction Engineering and Management, 151(1): 04024190, ISSN 0733-9364

Umer, Muhammad (2025) Spotting inventory: Autonomous item localization on active construction sites using a boston dynamics spot® with Bayesian filtering and object detection. PhD thesis, Auburn University, USA.

Uzun, C and Cangür, R E (2024) An ontological assessment proposal for architectural outputs of generative adversarial network. Construction Innovation, 24(4), pp. 1165-1184. ISSN 1471-4175

Wang, S; Kim, M; Hae, H; Cao, M and Kim, J (2023) The development of a rebar-counting model for reinforced concrete columns: Using an unmanned aerial vehicle and deep-learning approach. Journal of Construction Engineering and Management, 149(11): 04023111, ISSN 0733-9364

Wang, S; Park, S; Kim, J and Kim, J (2025) Safety helmet monitoring on construction sites using yolov10 and advanced transformer architectures with surveillance and body-worn cameras. Journal of Construction Engineering and Management, 151(11): 04025186, ISSN 0733-9364

Wang, Yiheng (2023) Vision-assisted behavior-based construction safety: Integrating computer vision and natural language processing. PhD thesis, University of Alberta, Canada.

Wong, J K W; Bameri, F; Ahmadian Fard Fini, A and Maghrebi, M (2025) Tracking indoor construction progress by deep-learning-based analysis of site surveillance video. Construction Innovation, 25(2), pp. 461-489. ISSN 1471-4175

Wong, J K W; Maghrebi, M; Ahmadian Fard Fini, A; Alizadeh Golestani, M A; Ahmadnia, M and Er, M (2024) Development of a refined illumination and reflectance approach for optimal construction site interior image enhancement. Construction Innovation, 24(2), pp. 470-491. ISSN 1471-4175

Xiao, Bo (2021) Deep learning-based framework of summarizing construction videos for vision-based monitoring of construction sites. PhD thesis, University of Alberta, Canada.

Xiong, R and Tang, P (2021) Machine learning using synthetic images for detecting dust emissions on construction sites. Smart and Sustainable Built Environment, 10(3), pp. 487-503. ISSN 2046-6099

Xu, Y; Shen, X; Lim, S and Li, X (2021) Three-dimensional object detection with deep neural networks for automatic as-built reconstruction. Journal of Construction Engineering and Management, 147(9): 04021098, ISSN 0733-9364

Xu, Yongzhi (2021) Automated and real-time scan-to-BIM through deep learning-based object detection. PhD thesis, University of New South Wales, Australia.

Yoo, J.; Hwang, S.; Seo, J. and Choi, B. (2026) Feasibility of a wearable 360° camera for personalized proximity warning on construction sites. Journal of Construction Engineering and Management, 152(6): 04026079, ISSN 0733-9364

You, H; Xu, F and Du, J (2023) Improved boundary identification of stacked objects with sparse lidar augmentation scanning. Journal of Construction Engineering and Management, 149(11): 04023104, ISSN 0733-9364

Zhang, M; Liu, X and Li, Y (2025) Identity-based proactive human intrusion management in hazardous areas at construction sites: A deep learning-based method. Journal of Construction Engineering and Management, 151(6): 04025045, ISSN 0733-9364

Zhang, Y; Chang, R; Mao, W; Zuo, J; Zhang, W E and Liu, L (2025) Low-cost ios-based automated detection of under-construction interior drywalls: An exploratory study. Journal of Construction Engineering and Management, 151(10): 05025012, ISSN 0733-9364

Zhao, W.; Li, K.; Liu, G.; Chen, B.; Fan, M. and Yin, S. (2026) A three-stage intelligent crack detection method for concrete bridges based on deep neural networks. Journal of Construction Engineering and Management, 152(6): 04026067, ISSN 0733-9364

Zhao, J; Cao, Y and Xiang, Y (2024) Pose estimation method for construction machine based on improved alphapose model. Engineering, Construction and Architectural Management, 31(3), pp. 976-996. ISSN 0969-9988