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http://dx.doi.org/10.6106/KJCEM.2022.23.4.003

A Study on Virtual Environment Platform for Autonomous Tower Crane  

Kim, Myeongjun (Department of Architecture, Seoul National University)
Yoon, Inseok (Department of Architecture, Seoul National University)
Kim, Namkyoun (Department of Architecture, Seoul National University)
Park, Moonseo (Department of Architecture, Seoul National University)
Ahn, Changbum (Department of Architecture, Seoul National University)
Jung, Minhyuk (Department of Architecture, Seoul National University)
Publication Information
Korean Journal of Construction Engineering and Management / v.23, no.4, 2022 , pp. 3-14 More about this Journal
Abstract
Autonomous equipment requires a large amount of data from various environments. However, it takes a lot of time and cost for an experiment in a real construction sites, which are difficulties in data collection and processing. Therefore, this study aims to develop a virtual environment for autonomous tower cranes technology development and validation. The authors defined automation functions and operation conditions of tower cranes with three performance criteria: operational design domain, object and event detection and response, and minimum functional conditions. Afterward, this study developed a virtual environment for learning and validation for autonomous functions such as recognition, decision making, and control using the Unity game engine. Validation was conducted by construction industry experts with a fidelity which is the representative matrix for virtual environment assessment. Through the virtual environment platform developed in this study, it will be possible to reduce the cost and time for data collection and technology development. Also, it is also expected to contribute to autonomous driving for not only tower cranes but also other construction equipment.
Keywords
Autonomous Construction Machinery; Tower Crane; Virtual Environment; Virtual Data;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Yoon, S., Jung, J., Hong, J., Lim, k., Kim, J., and Kim, H. (2020). "Development of Autonomous Vehicle Learning Data Generation System," The Journal of The Korea Institute of Intelligent Transport Systems, 19(5), pp. 162-177.   DOI
2 Bank of Korea. (2019). National Accounts.
3 Hung, W.H., and Kang, S.C. (2009). "Physics-based crane model for the simulation of cooperative erections." In 9th International Conference on Construction Applications of Virtual Reality, pp. 5-6.
4 Liggett, J.A., and Caughey, D.A. (1998). "Fluid statics." Fluid mechanics (CD-ROM), ASCE Press, Reston, Va.
5 Lynch, K., and Hack, G. (1994). Site Planning, 3rd ed, MIT Press, Cambridge, pp. 132-153.
6 Ministry of Land, Infrastructure and Transport (2018). "Innovation Pl an for the Construction Industry."
7 Ministry of Land , Infrastructure and Transport (2018). "Smart Construction Technology Roadmap for Construction Productivity Innovation and Safety Enhancement."
8 Myers, P.L., Starr, A.W., and Mullins, K. (2018). "Flight Simulator Fidelity, Training Transfer, and the Role of Instructors in Optimizing Learning." International Journal of Aviation, Aeronautics, and Aerospace, 5(1), pp. 6.
9 National Highway Traffic Safety Administration. (2017). Automated driving systems 2.0: A vision for safety. Washington, DC: US Department of Transportation, DOT HS, p. 812, 442.
10 Park, G. (2016). "A Study on the Improvement of Tower Crane Operation in Construction Sites". Construction Policy Review, 2016-06.
11 Sleiman, J.P., Zankoul, E., Khoury, H., and Hamzeh, F. (2016). "Sensor-based planning tool for tower crane anti-collision monitoring on construction sites." In Construction Research Congress 2016, pp. 2624-2632.
12 Sotiropulos, S.N. (1991). "Statis response of bridge superstructures made of fiber reinforced plastic." MS thesis, West Virginia Univ., Morgantown, W. Va.
13 Wang, P., Wu, P., Wang, J., Chi, H.L., and Wang, X. (2018). "A critical review of the use of virtual reality in construction engineering education and training." International Journal of Environmental Research and Public Health, 15(6), p. 1204.   DOI
14 Muller, M., Chentanez, N., Jeschke, S., and Macklin, M. (2018). Cable joints. In Computer Graphics Forum, 37(8) pp. 1-10.   DOI
15 Stahl, D.C., Wolfe, R.W., and Begel, M. (2004). "Improved analysis of timber rivet connections." J. Struct. Eng., 130(8), pp. 1272-1279.   DOI
16 Unity. Wind component [Website]. (2021, Sep 26). http://rayfirestudios.com/online-help-unity/components/unity-wind-component/
17 Zhang, Z., and Pan, W. (2020). "Lift planning and optimization in construction: A thirty-year review." Automation in Construction, 118, 103271.   DOI
18 Park, M.S., Ham, Y.J., Lee, H.S., and Kim, W.Y. (2010). "Development of Design Process Management Model using Dependency Structure Matrix for Constructability." Korean Journal of Construction Engineering and Management, KICEM, 11(5), pp. 65-74.   DOI
19 Hong, G.D. (2005). "Market of CM for fee." CM Forum, (Dec. 15, 2005).
20 Dutta, S., Cai, Y., Huang, L., and Zheng, J. (2020). "Automatic re-planning of lifting paths for robotized tower cranes in dynamic BIM environments." Automation in Construction, 110, 102998.   DOI
21 Hu, Y., Chan, A.P., Le, Y., and Jin, R.Z. (2015). "From construction megaproject management to complex project management: Bibliographic analysis." Journal of management in engineering, 31(4), 04014052.   DOI
22 Liu, D., Macchiarella, N.D., and Vincenzi, D.A. (2008). Simulation fidelity. Human factors in simulation and training, pp. 61-73.
23 Patel, K.K. (2020). A Simulation Environment with Reduced Reality Gap for Testing Autonomous Vehicles, Doctoral dissertation, University of Windsor, Canada.
24 Shi, H.T., Huang, J.Q., Bai, X., Huang, X., and Sun, J. (2021). "Nonlinear Anti-swing Control of Underactuated Tower Crane Based on Improved Energy Function." International Journal of Control, Automation and Systems, 19(12), pp. 3967-3982.   DOI
25 J. Tremblay, A. Prakash, D. Acuna, M. Brophy, V. Jampani, C. Anil , T . To , E . Cameracci , S . Boochoon , and S .Birchfield (2018 ). "Training deep networks with synthetic data : Bridging the reality gap by domain randomization ." In Proceedings of the IEEE conference on computer vision and pattern recognition workshops, IEEE, pp. 969-977.
26 Garrett, D.L. (2003). "Coupled analtiss of flating production systems." Proc., Int. Symp. on Deep Mooring Systems, ASCE, Reston, vacancy decontro, 23(4). pp. 152-167.
27 Moore, A., and Lee, M.S. (1988). "Cached sufficient statistics for efficient machine learning with large datasets." Journal of Artificial Intelligence Research, 8, pp. 67-91.   DOI
28 Borden, R.H., Holtz, R.O., and Juran, I. (1992). "Grouting, soil improvement and geosynthetics." Proceedings of the 1992 ASCE Specialty Conference, New Orleans, LA, USA.
29 Construction Economy Research Institute of Korea (CERIK) (2008). Global Engineering-Construction Strategies for Korean Construction Companies, CERIK Research Report, 2008-08.
30 Gu, L., Kou, X., and Jia, J. (2012). "Distance measurement for tower crane obstacle based on multi-ultrasonic sensors." In 2012 IEEE International Conference on Automation Science and Engineering (CASE), IEEE, pp. 1028-1032.
31 Shao, X., Zhang, J., Zhang, X., Zhao, Z., and Chen, Z. (2020). "A novel anti-swing and position control method for overhead crane." Science progress, 103(1), 0036850419883539.
32 Hong, Y. (2015). "A Study on the Function and Safety Evaluation of Autonomous Cars." Monthly KOTI Magazine on Transport, pp. 13-18.