Items with Index Term: computer vision

Alves, N M F and Bártolo, P J S (2002) Reversing design through computer vision. In: Greenwood, D (ed.) Proceedings of 18th Annual ARCOM Conference, 2-4 September 2002, Northumbria, UK.

Alzubi, K. M.; Alaloul, W. S.; Al Salaheen, M.; Musarat, M. A.; Baarimah, A. O. and Mushtaha, A. W. (2025) Indoor construction productivity assessment using computer vision and mask region-based convolutional neural networks. Construction Innovation, 26(5), pp. 1523-1555. ISSN 1471-4175

Ayoubi, M. and Arashpour, M. (2026) Early recognition of workplace hazards using data-efficient multimodal learnable prompting and parameter-efficient fine tuning. Journal of Construction Engineering and Management, 152(10): 04026165, ISSN 0733-9364

Ayoubi, M. and Arashpour, M. (2026) Early recognition of workplace hazards using data-efficient multimodal learnable prompting and parameter-efficient fine tuning. Journal of Construction Engineering and Management, 152(10): 04026165, ISSN 0733-9364

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

Brilakis, I (2005) Content based integration of construction site images in AEC/FM model based systems. PhD thesis, University of Illinois at Urbana-Champaign, USA.

Broadhurst, S J (2000) Non-man-entry sewer renovation robot characteristics. PhD thesis, Sheffield Hallam University, UK.

Chai, Y T and Wang, T K (2023) Evaluation and decision-making framework for concrete surface quality based on computer vision and ontology. Engineering, Construction and Architectural Management, 30(10), pp. 4881-4913. ISSN 0969-9988

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, Kaiwen (2020) Analysis and management of UAV-captured images towards automation of building facade inspections. PhD thesis, Virginia Tech, USA.

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

Chen, Z; Li, T; Qin, L and Jiang, Y (2025) Vision-guided autonomous block loading in a dual-robot collaborative handling framework. Journal of Construction Engineering and Management, 151(5): 04025035, ISSN 0733-9364

Cui, B; Wang, C; Li, Y; Li, H; Li, C and Cui, B (2024) Image enhancement-based detection of concrete cracks under turbid water bodies. Architectural Engineering and Design Management, 20(6), pp. 1687-1708. ISSN 1745-2007

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

Dayan, V; Chileshe, N and Hassanli, R (2022) A scoping review of information-modeling development in bridge management systems. Journal of Construction Engineering and Management, 148(9): 03122006, ISSN 0733-9364

Deng, H; Hong, H; Luo, D; Deng, Y and Su, C (2020) Automatic indoor construction process monitoring for tiles based on BIM and computer vision. Journal of Construction Engineering and Management, 146(1): 04019095, ISSN 0733-9364

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

Esmaeili, I; Poças Martins, J and Castro, J M (2026) Computer vision-based CAD to BIM design change management: Case of building's lightings. International Journal of Construction Management, 26(2), pp. 234-255. ISSN 1562-3599

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

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

Golparvar-Fard, M; Peña-Mora, F and Savarese, S (2011) Integrated sequential as-built and as-planned representation with D 4AR tools in support of decision-making tasks in the AEC/FM industry. Journal of Construction Engineering and Management, 137(12), pp. 1099-1116. ISSN 0733-9364

Gong, J (2009) An object recognition, tracking, and contextual reasoning based video interpretation methodology for rapid productivity analysis of construction operations. PhD thesis, University of Texas at Austin, 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

Guo, H; Zhang, Z; Yu, R; Sun, Y and Li, H (2023) Action recognition based on 3D skeleton and LSTM for the monitoring of construction workers' safety harness usage. Journal of Construction Engineering and Management, 149(4): 04023015, ISSN 0733-9364

Ham, Y (2015) Vision-based building energy diagnostics and retrofit analysis using 3D thermography and building information modeling. PhD thesis, University of Illinois at Urbana-Champaign, USA.

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

Huang, H; Hu, H; Xu, F and Zhang, Z (2024) Kinesiology-inspired assessment of intrusion risk based on human motion features. Journal of Construction Engineering and Management, 150(7): 04024072, ISSN 0733-9364

Huang, Mengqi (2022) BIM for underground stations: Supporting decision making on lifecycle stages. PhD thesis, Monash University, Australia.

Ibrahim, Y M (2008) Developing a model for vision-based progress measurement and visualisation of as-built construction operations. PhD thesis, Heriot-Watt University, UK.

Ibrahim, Y M (2010) On the measurement of work in progress using computer vision: A computerised reporting model. Journal of Engineering, Design and Technology, 8(1), pp. 45-63. ISSN 1726-0531

Jafary, P; Shojaei, D; Rajabifard, A and Ngo, T (2024) BIM and real estate valuation: Challenges, potentials and lessons for future directions. Engineering, Construction and Architectural Management, 31(4), pp. 1642-1677. ISSN 0969-9988

Jeelani, I (2019) Improving safety performance in construction using visual data analytics and virtual reality. PhD thesis, North Carolina State University, USA.

John Samuel, I (2023) A human-centered infrastructure asset management framework using BIM and augmented reality. PhD thesis, George Mason University, USA.

Khan, M; Khalid, R; Anjum, S; Tran, S V T and Park, C (2022) Fall prevention from scaffolding using computer vision and IoT-based monitoring. Journal of Construction Engineering and Management, 148(7): 04022051, ISSN 0733-9364

Kim, D.; Yang, J.; Lee, D.; Lee, D.; Rahimian, F. and Park, C. (2026) Blockchain-enhanced computer vision approach for remote safety inspection in construction. Engineering, Construction and Architectural Management, 33(3), pp. 1907-1931. ISSN 0969-9988

Kim, J; Kamari, M; Lee, S and Ham, Y (2021) Large-scale visual data-driven probabilistic risk assessment of utility poles regarding the vulnerability of power distribution infrastructure systems. Journal of Construction Engineering and Management, 147(10): 04021121, ISSN 0733-9364

Konstantinou, E (2018) Vision-based construction worker task productivity monitoring. PhD thesis, University of Cambridge, UK.

Konstantinou, E and Brilakis, I (2018) Matching construction workers across views for automated 3D vision tracking on-site. Journal of Construction Engineering and Management, 144(7): 04018061, ISSN 0733-9364

Kou, J.; Zhou, Z.; Guo, L.; Yang, Y.; Han, Y.; Zhang, C. and Ni, X. (2026) Multiangle computer vision-based assessment of work-related musculoskeletal disorders in construction workers. Journal of Construction Engineering and Management, 152(9): 04026141, ISSN 0733-9364

Lan, Roy Uzoma (2025) Advancing workplace safety through intelligent monitoring: Applications of artificial intelligence and computer vision in high-risk industrial environments. PhD thesis, The University of Texas at San Antonio, USA.

Lee, D (2023) Development of a real-time automated mobile robotic welding system in construction. PhD thesis, North Carolina State University, USA.

Lee, D; Khan, N and Park, C (2023) Rigorous analysis of safety rules for vision intelligence-based monitoring at construction jobsites. International Journal of Construction Management, 23(10), pp. 1768-1778. ISSN 1562-3599

Li, F; Xu, X; Zhou, J; Chen, J and Zhou, S (2026) Automatic generation of inspection knowledge for highway construction via the integration of computer vision and ontology reasoning. Engineering, Construction and Architectural Management, 33(1), pp. 73-97. ISSN 0969-9988

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, X; Yang, X; Feng, K and Liu, C (2025) Automatic monitoring the risk coupling of foundation pits: Integrated point cloud, computer vision and Bayesian networks approach. Engineering, Construction and Architectural Management, 32(9), pp. 6233-6267. ISSN 0969-9988

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

Li, Y and Chen, J (2022) Computer vision-based counting model for dense steel pipe on construction sites. Journal of Construction Engineering and Management, 148(1): 04021178, ISSN 0733-9364

Liu, H; Zhang, F; Ma, R; Wang, L; Chen, Z; Zhang, Q and Guo, L (2024) Intelligent noncontact structural displacement detection method based on computer vision and deep learning. Journal of Construction Engineering and Management, 150(10): 04024127, ISSN 0733-9364

Liu, M (2019) Video-based human motion capture and force estimation for comprehensive on-site ergonomic risk assessment. PhD thesis, University of Michigan, USA.

Liu, M; Han, S and Lee, S (2016) Tracking-based 3D human skeleton extraction from stereo video camera toward an on-site safety and ergonomic analysis. Construction Innovation, 16(3), pp. 348-367. ISSN 1471-4175

Liu, X; Xu, F; Zhang, Z and Sun, K (2025) Fall-portent detection for construction sites based on computer vision and machine learning. Engineering, Construction and Architectural Management, 32(3), pp. 1499-1521. ISSN 0969-9988

Luo, H (2021) Automated construction machine pose monitoring using computer vision and deep learning for construction site safety. PhD thesis, Hong Kong University of Science and Technology, Hong Kong.

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

Mahami, H; Nasirzadeh, F; Hosseininaveh Ahmadabadian, A; Esmaeili, F and Nahavandi, S (2019) Imaging network design to improve the automated construction progress monitoring process. Construction Innovation, 19(3), pp. 386-404. ISSN 1471-4175

Makarfi Ibrahim, Y; Kaka, A; Aouad, G and Kagioglou, M (2009) Framework for a generic work breakdown structure for building projects. Construction Innovation, 9(4), pp. 388-405. 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

Mei, X; Xu, F; Zhang, Z and Tao, Y (2025) Unsafe behavior identification on construction sites by combining computer vision and knowledge graph-based reasoning. Engineering, Construction and Architectural Management, 32(12), pp. 8360-8389. ISSN 0969-9988

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

Mohammed Abdelkader, E (2022) On the hybridization of pre-trained deep learning and differential evolution algorithms for semantic crack detection and recognition in ensemble of infrastructures. Smart and Sustainable Built Environment, 11(3), pp. 740-764. ISSN 2046-6099

Moohialdin, A S M; Lamari, F; Miska, M and Trigunarsyah, B (2023) Proximity activity intensity identification system in hot and humid weather conditions: Development and implementation. Journal of Construction Engineering and Management, 149(12): 04023122, ISSN 0733-9364

Moohialdin, Ammar (2020) A real-time worker activity intensity identification system for construction workers under hot and humid weather conditions. PhD thesis, Queensland University of Technology, Australia.

Moragane, H P M N L B; Perera, B A K S; Palihakkara, A D and Ekanayake, B (2024) Application of computer vision for construction progress monitoring: A qualitative investigation. Construction Innovation, 24(2), pp. 446-469. ISSN 1471-4175

Mostafavi, F; Tahsildoost, M; Zomorodian, Z S and Shahrestani, S S (2024) An interactive assessment framework for residential space layouts using pix2pix predictive model at the early-stage building design. Smart and Sustainable Built Environment, 13(4), pp. 809-827. ISSN 2046-6099

N, H. K. and Padala, S. P. S. (2026) A bibliometric review of digital twin-enabled technologies for construction project monitoring and control. Built Environment Project and Asset Management, 16(3), pp. 441-460. ISSN 2044-124X

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

Noghabaei, M (2021) Visual and behavioral data analysis in immersive virtual environments for enhancing construction safety, planning, and control. PhD thesis, North Carolina State University, USA.

Omar, H (2020) Towards an automated photogrammetry-based approach for monitoring and controlling construction site activities. PhD thesis, University of the West of England, Bristol, UK.

Pal, A.; Lin, J. J.; Amer, F.; Hsieh, S. H. and Golparvar Fard, M. (2026) Automatic mapping of schedule activities and reality models for tracking construction progress. Engineering, Construction and Architectural Management, 33(3), pp. 1932-1958. ISSN 0969-9988

Piao, Y; Xu, W; Wang, T K and Chen, J H (2021) Dynamic fall risk assessment framework for construction workers based on dynamic Bayesian network and computer vision. Journal of Construction Engineering and Management, 147(12): 04021171, ISSN 0733-9364

Purushothaman, M B and Gedara, K M (2025) Smart vision-based analysis and error deduction of human pose to reduce musculoskeletal disorders in construction. Smart and Sustainable Built Environment, 14(5), pp. 1339-1368. ISSN 2046-6099

Qi, K. and Lu, M. (2026) A data-driven framework for quantifying physical workload in construction using posture-hour metrics. Journal of Construction Engineering and Management, 152(7): 04026100, ISSN 0733-9364

Qi, L; Zhai, H and Shuang, Q (2026) Attention-driven multiobject tracking for proactive fall safety management in construction. Journal of Construction Engineering and Management, 152(5): 04026052, ISSN 0733-9364

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

Raynar, K A (1994) Integrating computer vision with computer aided design to produce construction as-built drawings. PhD thesis, Pennsylvania State University, USA.

Reja, V. K.; Yin, M.; Davletshina, D.; Wei, R.; Fauth, J.; Perrotta, F. and Brilakis, I. (2026) Establishing and fulfilling information requirements for computer vision-enabled digital twin-based control of roadside vegetation. Journal of Construction Engineering and Management, 152(9): 04026147, ISSN 0733-9364

Rezazadeh Azar, E; Dickinson, S and McCabe, B (2013) Server-customer interaction tracker: Computer vision-based system to estimate dirt-loading cycles. Journal of Construction Engineering and Management, 139(7), pp. 785-794. ISSN 0733-9364

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

Samsami, R (2022) A framework for active construction inspection and visualization using uas. PhD thesis, Michigan Technological University, USA.

Seong, J; Kim, H s and Jung, H J (2025) Development of a robust hazardous area tracking algorithm for pan-tilt-zoom (ptz) cameras at construction sites under harsh conditions. Engineering, Construction and Architectural Management, 32(13), pp. 384-405. ISSN 0969-9988

Sharqi, R I A (2017) Developing a system for health and safety enhancement and automation in construction sites. PhD thesis, Heriot-Watt University, UK.

Singh, V V (2024) Data-driven production planning and control using work density for on-site building construction. PhD thesis, University of California, Berkeley, USA.

Sirimewan, Diani Chamathya (2025) Optimising construction and demolition waste handling using computer vision techniques. PhD thesis, Monash University, Australia.

Soltanmohammadlou, N.; Hon, C. K. H.; Drogemuller, R.; Motamedisedeh, O. and Rahimian, F. (2026) Modelling risk factors in earthmoving equipment operations on Australian construction sites: A fuzzy DEMATEL approach. Engineering, Construction and Architectural Management, 33(3), pp. 2118-2153. ISSN 0969-9988

Soltanmohammadlou, N.; Hon, C. K. H.; Drogemuller, R.; Sheikhkhoshkar, M. and Rahimian, F. (2026) An advanced exploration of technological functionalities addressing risk factors in earthmoving equipment operation on construction sites: A systematic literature review. Smart and Sustainable Built Environment, 15(5), pp. 1846-1876. ISSN 2046-6099

Staffa Junior, L B; Bastos Costa, D; Torres Nogueira, J L and Silva, A S (2025) Web platform for building roof maintenance inspection using uas and artificial intelligence. International Journal of Building Pathology and Adaptation, 43(1), pp. 4-28. ISSN 2398-4708

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

Tian, Z; Yu, Y; Xu, F and Zhang, Z (2023) Dynamic hazardous proximity zone design for excavator based on 3D mechanical arm pose estimation via computer vision. Journal of Construction Engineering and Management, 149(7): 04023048, ISSN 0733-9364

Torres Calderon, W (2022) Video representation learning for vision-driven activity analysis in construction. PhD thesis, University of Illinois at Urbana-Champaign, 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.

Wang, Z.; Li, J.; Yan, X.; Li, H. and Li, J. (2026) Dynamic collision risk warning in construction sites for nonlinear movements: A visual-spatial fusion multimodal prediction method. Journal of Construction Engineering and Management, 152(10): 04026170, ISSN 0733-9364

Wang, Z; Yan, X; Liu, Q; Ma, X and Li, H (2026) Vision-based collision prevention on construction sites: Integrating trajectory prediction and uncertainty modeling. Journal of Construction Engineering and Management, 152(1): 04025214, 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, X (2024) Context-aware worker intent interpretation for human-robot collaboration in construction. PhD thesis, University of Wisconsin - Madison, USA.

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

Xiahou, X; Li, Z; Xia, J; Zhou, Z and Li, Q (2023) A feature-level fusion-based multimodal analysis of recognition and classification of awkward working postures in construction. Journal of Construction Engineering and Management, 149(12): 04023138, ISSN 0733-9364

Xiao, B; Wang, Y and Kang, S C (2022) Deep learning image captioning in construction management: A feasibility study. Journal of Construction Engineering and Management, 148(7): 04022049, ISSN 0733-9364

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, Lichao (2019) Geometric, semantic, and system-level scene understanding for improved construction and operation of the built environment. PhD thesis, University of Michigan, USA.

Xu, W and Wang, T K (2020) Dynamic safety prewarning mechanism of human-machine-environment using computer vision. Engineering, Construction and Architectural Management, 27(8), pp. 1813-1833. ISSN 0969-9988

Xu, W and Wang, T K (2023) Construction worker safety prediction and active warning based on computer vision and the gray absolute decision analysis method. Journal of Construction Engineering and Management, 149(4): 04023014, ISSN 0733-9364

Xu, Y and Turkan, Y (2020) BrIM and UAS for bridge inspections and management. Engineering, Construction and Architectural Management, 27(3), pp. 785-807. ISSN 0969-9988

Yan, H.; Liu, C.; Yang, X.; Li, X. and Li, J. (2026) Digital twin-enabled 3D near-misses prediction method based on trajectories and postures for proactive construction safety management. Engineering, Construction and Architectural Management, pp. 1-27. ISSN 0969-9988

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

Yu, Y; Yang, X; Li, H; Luo, X; Guo, H and Fang, Q (2019) Joint-level vision-based ergonomic assessment tool for construction workers. Journal of Construction Engineering and Management, 145(5): 04019025, ISSN 0733-9364

Zhang, H; Yan, X; Li, H; Jin, R and Fu, H (2019) Real-time alarming, monitoring, and locating for non-hard-hat use in construction. Journal of Construction Engineering and Management, 145(3): 04019006, ISSN 0733-9364

Zhang, M; Cao, Z; Yang, Z and Zhao, X (2020) Utilizing computer vision and fuzzy inference to evaluate level of collision safety for workers and equipment in a dynamic environment. Journal of Construction Engineering and Management, 146(6): 04020051, ISSN 0733-9364

Zhang, M and Ge, S (2022) Vision and trajectory-based dynamic collision prewarning mechanism for tower cranes. Journal of Construction Engineering and Management, 148(7): 04022057, 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, S; Liu, C; Feng, K; Xia, C; Wang, Y and Wang, Q (2025) Computer vision-based real-time monitoring for swivel construction of bridges: From laboratory study to a pilot application. Engineering, Construction and Architectural Management, 32(6), pp. 3630-3658. ISSN 0969-9988

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, 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

Zhu, D; Wen, H and Deng, Y (2020) Pro-active warning system for the crossroads at construction sites based on computer vision. Engineering, Construction and Architectural Management, 27(5), pp. 1145-1168. ISSN 0969-9988