3. Nahmens, I. and Ikuma, L., 2009. An empirical examination of the relationship between lean construction and safety in the industrialized housing industry.
Lean Construction Journal, pp.1-12.
https://doi.org/10.60164/a2g0h2d4b.
4. Henshaw, J., 2004. Safety and health add value to your business, workplace and life. Proceedings of the 8th Biennial Governors Pacification Rim Safety and Health Conference, pp.13-14.
7. Seo, J., Han, S., Lee, S. and Kim, H., 2015. Computer vision techniques for construction safety and health monitoring.
Advanced Engineering Informatics, 29.2, pp.239-251.
https://doi.org/10.1016/j.aei.2015.02.001.
8. Park, J., Kim, K. and Cho, Y., 2017. Framework of automated construction-safety monitoring using cloud-enabled BIM and BLE mobile tracking sensors.
Journal of Construction Engineering and Management, 143.2.
https://doi.org/10.1061/(ASCE)CO.1943-7862.0001223.
9.Irizarry, J., Gheisari, M. and Walker, B., 2012. Usability assessment of drone technology as safety inspection tools.
Journal of Information Technology in Construction (ITcon), 17.12, pp.194-212.
http://www.itcon.org/2012/12.
10. Liu, P., Chen, A., Huang, Y., Han, J., Lai, J., Kang, S., Wu, T., Wen, M. and Tsai, M., 2014. A review of rotorcraft unmanned aerial vehicle (UAV) developments and applications in civil engineering.
Smart Struct. Syst, 13.6, pp.1065-1094.
https://doi.org/10.12989/sss.2014.13.6.1065.
12. Mahajan, G., 2021. Applications of drone Technology in Construction Industry: A study 2012-2021.
International Journal of Engineering and Advanced Technology, 11.1, pp.224-239.
https://doi.org/10.35940/ijeat.a3165.1011121.
15. Asanka, W. and Malik, R., 2015. Study on the impact of accidents on construction projects. 6th International Conference on Structural Engineering and Construction Management. 4, pp.58-67.
17. Dobrucali, E., Sadikoglu, E., Demirkesen, S., Zhang, C., Tezel, A. and Kiral, I., 2023. A bibliometric analysis of digital technologies use in construction health and safety.
Engineering, Construction and Architectural Management, 31.8, pp.3249-3282.
https://doi.org/10.1108/ECAM-08-2022-0798.
18. Yap, J., Lee, K. and Wang, C., 2021. Safety enablers using emerging technologies in construction projects: empirical study in Malaysia.
Journal of Engineering, Design and Technology, 21.5, pp.1414-1440.
https://doi.org/10.1108/JEDT-07-2021-0379.
19. Manzoor, B., Othman, I., Pomares, J. and Chong, H. Y., 2021. A research framework of mitigating construction accidents in high-rise building projects via integrating building information modeling with emerging digital technologies.
Applied Sciences (Switzerland), 11.18.
https://doi.org/10.3390/app11188359.
20. Alizadehsalehi, S., Yitmen, I., Celik, T. and Arditi, D., 2020. The effectiveness of an integrated BIM/UAV model in managing safety on construction sites.
International journal of occupational safety and ergonomics, 26.4, pp.829-844.
https://doi.org/10.1080/10803548.2018.1504487.
21. Alizadehsalehi, S., Asnafi, M., Yitmen, I. and Celik, T., 2017. UAS-BIM based real-time hazard identification and safety monitoring of construction projects. 9th Nordic Conference on Construction Economics and Organization At: Chalmers Univ Technol, Goteborg, SWEDEN, 13, pp.22.
22. Albeaino, G., Gheisari, M. and Franz, B., 2019. A systematic review of unmanned aerial vehicle application areas and technologies in the AEC domain.
Journal of Information Technology in Construction, 24, pp.381-405.
https://www.itcon.org/2019/20.
23. Lee, K., 2021. Investigating influential factors of technology adoption in construction safety management.
24. Martinez, J., Gheisari, M., Alarcon, L. and Luna, R., 2019. Using UAV-generated visual contents to assess the risk perception of safety managers on a construction site. Advances in ICT in Design, Construction and Management in Architecture, Engineering, Construction and Operations (AECO) Proceedings of the 36th CIB W78 2019 Conference, pp.564-571.
25. Toh, Y., Goh, Y. and Guo, B., 2017. Knowledge, attitude, and practice of design for safety: multiple stakeholders in the Singapore construction industry.
Journal of Construction Engineering and Management, 143.5.
https://doi.org/10.1061/(ASCE)CO.1943-7862.0001279.
26. Goh, Y. and Chua, S., 2016. Knowledge, attitude and practices for design for safety: A study on civil and structural engineers.
Accident Analysis and Prevention, 93, pp.260-266.
https://doi.org/10.1016/j.aap.2015.09.023.
28. Chen, Y., Zhang, J. and Min, B., 2019. Applications of BIM and UAV to construction safety. CSCE Annual Conference, pp.1-7.
29. Antar, S., Khoury, H. and Haro, F., 2023. Unmanned aerial systems for safety monitoring in construction: effect on safety performance.
Creative Construction e-Conference 2023, pp.87-96.
https://doi.org/10.3311/CCC2023-011.
30. Kaming, P. and Yonathan, G., 2019. Comparison of the supervisory cost of using an unmanned aerial system and conventional methods in construction projects.
IOP Conference Series: Materials Science and Engineering, 615.
10.1088/1757-899X/615/1/012024.
31. De Melo, R. and Costa, D., 2019. Integrating resilience engineering and UAS technology into construction safety planning and control.
Engineering, Construction and Architectural Management, 26.11, pp.2705-2722.
https://doi.org/10.1108/ECAM-12-2018-0541.
32. Melo, R. and Costa, D., 2018. Contributions of resilience engineering and visual technology to safety planning and control process. Proceedings of the Joint CIB W099 and TG59 International Safety, Health, and People in Construction Conference, Salvador, Brazil, pp.13-22.
33. Falorca, J. and Lanzinha, J., 2021. Facade inspections with drones–theoretical analysis and exploratory tests.
International Journal of Building Pathology and Adaptation, 39.2, pp.235-258.
https://doi.org/10.1108/IJBPA-07-2019-0063.
34. Melo, R., Costa, D., Alvares, J. and Irizarry, J., 2017. Applicability of unmanned aerial system (UAS) for safety inspection on construction sites.
Safety Science, 98, pp.174-185.
https://doi.org/10.1016/j.ssci.2017.06.008.
35. Costa, D., De Melo, R., Alvares, J. and Bello, A., 2016. Evaluating the performance of unmanned aerial vehicles for safety inspection. 24th Annual Conference of the International Group for Lean Construction, pp.23-32.
36. Einizinab, S., Khoshelham, K., Winter, S., Christopher, P., Fang, Y., Windholz, E., Radanovic, M. and Hu, S., 2023. Enabling technologies for remote and virtual inspection of building work.
Automation in Construction, 156.
https://doi.org/10.1016/j.autcon.2023.105096.
37. Rao, A., Radanovic, M., Liu, Y., Hu, S., Fang, Y., Khoshelham, K., Palaniswami, M. and Ngo, T., 2022. Real-time monitoring of construction sites: Sensors, methods, and applications.
Automation in Construction, 136.
https://doi.org/10.1016/j.autcon.2021.104099.
38. Awolusi, I., Akinsemoyin, A., Chakraborty, D. and Al-Bayati, A., 2022. Worker safety and health activity monitoring in construction using unmanned aerial vehicles and deep learning.
Construction Research Congress 2022, pp.463-473.
https://doi.org/10.1061/9780784483961.049.
39. Lnc Prakash, K., Ravva, S., Rathnamma, M. and Suryanarayana, G., 2023. AI applications of drones.
Drone Technology: Future Trends and Practical Applications, pp.153-182.
https://doi.org/10.1002/9781394168002.ch7.
40. Lima, M., Melo, R. and Costa, D., 2021. Contribution of UAS monitoring to safety planning and control.
IGLC 2021 - 29th Annual Conference of the International Group for Lean Construction - Lean Construction in Crisis Times: Responding to the Post-Pandemic AEC Industry Challenges, pp.883-892.
https://doi.org/10.24928/2021/0138.
41. Rey, R., De Melo, R. and Costa, D., 2021. Design and implementation of a computerized safety inspection system for construction sites using UAS and digital checklists–Smart Inspecs.
Safety Science, 143.
https://doi.org/10.1016/j.ssci.2021.105430.
42. Goh, T. and Alzraiee, H., 2022. Digital safety planning and monitoring in highway construction projects.
Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022, pp.307-313.
https://doi.org/10.1061/9780784483961.033.
43. Akinsemoyin, A., Awolusi, I., Chakraborty, D., Al-Bayati, A. and Akanmu, A., 2023. Unmanned aerial systems and deep learning for safety and health activity monitoring on construction sites.
Sensors, 23.15, pp.6690.
https://doi.org/10.3390/s23156690.
44. Akinsemoyin, A., 2022. Construction safety and health monitoring using unmanned aerial vehicles and deep learning.
45. Leach, S., Xue, Y., Sridhar, R., Paal, S., Wang, Z. and Murphy, R., 2021. Data augmentation for improving deep learning models in building inspections or postdisaster evaluation.
Journal of Performance of Constructed Facilities, 35.4, pp.04021029.
https://doi.org/10.1061/(ASCE)CF.1943-5509.0001594.
46. Yang, E., Yang, J., Zeng, K. and Zheng, Y., 2023. Construction safety monitoring system based on UAV image. International Conference on Advanced Hybrid Information Processing, pp.546-556.
47. Asnafi, M., 2016. 3D/4D BIM-based hazard identification, safety regulations and safety monitoring of construction projects in pre-construction and construction phases.
48. Weerasinghe, I. and Ruwanpura, J., 2009. Automated data acquisition system to assess construction worker performance.
Construction Research Congress 2009: Building a Sustainable Future, pp.61-70.
https://doi.org/10.1061/41020(339)7.
50. Shanti, M., Cho, C., De Soto, B., Byon, Y., Yeun, C. and Kim, T., 2022. Real-time monitoring of work-at-height safety hazards in construction sites using drones and deep learning.
Journal of Safety Research, 83, pp.364-370.
https://doi.org/10.1016/j.jsr.2022.09.011.
51. Gheisari, M., Rashidi, A. and Esmaeili, B., 2018. Using unmanned aerial systems for automated fall hazard monitoring. Construction Research Congress 2018, pp.62-72. ASCE.
52. Mendes, C., Silveira, B., Costa, D. and Melo, R., 2018. Evaluating USA-image pattern recognition system application for safety guardrails inspection. Proceedings of the Joint CIB W099 and TG59 Conference Coping with the Complexity of Safety, Health, and Wellbeing in Construction. Salvador, Brazil, pp.23-32.
53. Li, Y., Esmaeili, B., Gheisari, M., Kosecka, J. and Rashidi, A., 2022. Using unmanned aerial systems (UAS) for assessing and monitoring fall hazard prevention systems in high-rise building projects.
arXiv preprint arXiv:2209.13137. https://doi.org/10.48550/arXiv.2209.13137.
54. Peinado, H., Melo, R., Santos, M. and Costa, D., 2023. Potential application of deep learning and UAS for guardrail safety inspection.
31st Annual Conference of the International Group for Lean Construction (IGLC31).
https://doi.org/10.24928/2023/0148.
55. Melo, R. and Costa, D., 2019. Reducing the gap between work as done and work as imagined on construction safety supported by UAS.
REA Symposium on Resilience Engineering Embracing Resilience. https://doi.org/10.15626/rea8.02.
57. Martinez, J., Gheisari, M. and Alarcon, L., 2020. UAV integration in current construction safety planning and monitoring processes: Case study of a high-rise building construction project in Chile.
Journal of Management in Engineering, 36.3, pp.05020005.
https://doi.org/10.1061/(ASCE)ME.1943-5479.0000761.
58. Kim, K., Kim, S. and Shchur, D., 2021. A UAS-based work zone safety monitoring system by integrating internal traffic control plan (ITCP) and automated object detection in game engine environment.
Automation in Construction, 128.
https://doi.org/10.1016/j.autcon.2021.103736.
59. Lu, Y., Qin, W., Zhou, C. and Liu, Z., 2023. Automated detection of dangerous work zone for crawler crane guided by UAV images via Swin Transformer.
Automation in Construction, 147, pp.104744.
https://doi.org/10.1016/j.autcon.2023.104744.
60. Kim, D., 2021. Toward Co-Robotic Construction: Visual Site Monitoring and Hazard Detection to Ensure Worker Safety.
61. Zhu, C., Zhu, J., Bu, T. and Gao, X., 2022. Monitoring and identification of road construction safety factors via UAV.
Sensors, 22.22.
https://doi.org/10.3390/s22228797.
62. Kadalli, M., 2021. Perceived effectiveness of highway work zone intrusion mitigation technologies: A State DOT Perspective.
63. Gupta, S. and Nair, S., 2020. Challenges in capturing and processing UAV based photographic data from construction sites.
ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, 37, pp.911-918.
https://doi.org/10.22260/ISARC2020/0126.
64. Nath, N., 2021. Human-Centered Computing and Visual Analytics for Future of Work in Construction.
66. Guo, Y., Niu, H. and Li, S., 2018. Safety monitoring in construction site based on unmanned aerial vehicle platform with computer vision using transfer learning techniques. Proceedings of the 7th Asia-Pacific Workshop on Structural Health Monitoring, APWSHM 2018, pp.1052-1060.
67. Wang, J., Zhang, S. and Teizer, J., 2015. Geotechnical and safety protective equipment planning using range point cloud data and rule checking in building information modeling.
Automation in Construction, 49, pp.250-261.
https://doi.org/10.1016/j.autcon.2014.09.002.
68. Wu, J., Peng, L., Li, J., Zhou, X., Zhong, J., Wang, C. and Sun, J., 2021. Rapid safety monitoring and analysis of foundation pit construction using unmanned aerial vehicle images.
Automation in Construction, 128.
https://doi.org/10.1016/j.autcon.2021.103706.