Abstract
References
Information
Ashour, R., Taha, T., Mohamed, F., Hableel, E., Kheil, Y.A., Elsalamouny, M., Kadadha, M., Rangan, K., Dias, J., and Seneviratne, L. (2016). Site inspection drone: A solution for inspecting and regulating construction sites, 2016 IEEE 59th International midwest symposium on circuits and systems (MWSCAS), IEEE, pp. 1-4.
10.1109/MWSCAS.2016.7870116
Barbosa, F., Woetzel, J., Mischke, J., Ribeirinho, M.J., Sridhar, M., Parsons, M., Bertram, N., and Brown, S. (2017). Reinventing construction through a productivity revolution. https://www. mckinsey.com/industries/capital-projects-and-infrastructure/our-insights/reinventing-construction-through-a-productivity-revolution (accessed February 4, 2022).
Kim, D., Jebelli, H., Lee, S., and Kamat, V.R. (2020a). Enhancing Deep Neural Network-Based Trajectory Prediction: Fine-Tuning and Inherent Movement-Driven Post-Processing. Construction Research Congress 2020: Safety, Workforce, and Education, American Society of Civil Engineers Reston, VA, 2020, pp. 67-75.
10.1061/9780784482872.008
McSweeney, K. (2017). Autonomous construction equipment is here, ZDNet. https://www.zdnet.com/article/autonomous-construction-equipment-is-here/#:~:text=Autonomous%20construction%20equipment%20could%20be,equipment%20and%20self%2Ddriving%20cars.&text=His%20company%20launched%20out%20of,with%20self%2Ddriving%20construction%20equipment. (accessed February 3, 2022).
Wu, D., Pigou, L., Kindermans, P.J., Le, N.D.H., Shao, L., Dambre, J., and Odobez, J.M. (2016). Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition, IEEE Trans. Pattern Anal. Mach. Intell., 38, pp. 1583-1597. doi:10.1109/ TPAMI.2016.2537340.
10.1109/TPAMI.2016.253734026955020
- Publisher :Korean Society of Automation and Robotics in Construction
- Publisher(Ko) :(사)한국건설자동화·로보틱스학회
- Journal Title :Journal of Construction Automation and Robotics
- Journal Title(Ko) :건설자동화·로보틱스 논문집
- Volume : 1
- No :1
- Pages :16-21
- Received Date : 2022-04-04
- Revised Date : 2022-04-05
- Accepted Date : 2022-04-05
- DOI :https://doi.org/10.55785/JCAR.1.1.16


Journal of Construction Automation and Robotics




