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Improvement of Realism of 4D Objects Using Augmented Reality Objects and Actual Images of a Construction Site

  • Construction Management
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Abstract

Many construction firms have begun carrying out schedule management by using digital methods, such as 3D CAD and building information model (BIM)s. However, such methods are hampered by discrepancies between virtual models and real world models. This study develops an augmented reality (AR)-based 4D CAD system, which connects 4D and 5D objects with a real field image and an AR object. A method to link 4D objects and AR objects is proposed in order to implement several types of schedule information, as well as to enable the use of constantly changing schedule information through AR objects. Furthermore, a method for implementing AR objects based on connecting real-time field images is presented to help long distance managers become more accustomed to virtual objects and to enable better reflecting field environmental conditions in schedule management. In this study, the AR-based 4D CAD system using these methods is suggested and applied in a case study to verify the applicability of the system. The proposed system can be used for field monitoring for schedule management at job sites and to support cooperation and decision making between long distance managers and field engineers.

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References

  • Bay, H., Ess, A., Tuytelaars, T., and Gool, L. V. (2008). “Speeded-Up Robust Features (SURF),” Comput. Vis. Image Und., Vol. 110, Issue 3, pp. 346–359, DOI: 10.1016/j.cviu.2007.09.014.

    Article  Google Scholar 

  • Business Advantage Group (2015). “The Worldwide 2015 CAD Trends Survey Report.”

  • Carozza, L., Tingdahl, D., Bosche, F., and Gool, L. V. (2014). “Markerless vision-based augmented reality for urban planning,” Computer-Aided Civ. Inf., Vol. 29, No. 1, pp. 2–17, DOI: 10.1111/j.1467-8667.2012.00798.x.

    Article  Google Scholar 

  • Jiao, Y., Zhang, S., Li, Y., Wang, Y., and Yang, B. M. (2013). “Towards cloud Augmented Reality for construction application by BIM and SNS integration,” Automat. Constr., Vol. 33, pp. 37–47, DOI: 10.1016/j.autcon.2012.09.018

    Article  Google Scholar 

  • Kang, L. S., Kim, S. K., Moon, H. S., and Kim, H. S. (2013). “Development of a 4D object-based system for visualizing the risk information of construction projects,” Automat. Constr., Vol. 31, pp. 186–203, DOI: 10.1016/j.autcon.2012.11.038.

    Article  Google Scholar 

  • Kang, L. S., Kim, H. S., Moon, H. S., and Kim, S. K. (2016). “Managing construction schedule by telepresence: Integration of site video feed with an active nD CAD simulation,” Automat. Constr., Vol. 68, pp. 32–43, DOI: 10.1016/j.autcon.2016.04.003.

    Article  Google Scholar 

  • Kim, B., Kim, C., and Kim, H. (2012). “Interactive modeler for construction equipment operation using augmented reality,” J. Comput. Civ. Eng., Vol. 26, No. 3, pp. 331–341, DOI: 10.1061/(ASCE)CP.1943-5487.0000137.

    Article  Google Scholar 

  • Kim, S. Y., Kim, H. S., Moon, H. D., and Ksng, L. S. (2013). “Field applicability of augmented reality technology by marker mapping for construction project: Focused on measurement process of rebar work,” Korean J. Civil. Eng., Vol. 33, No. 6, pp. 2509–2518, DOI: 10.12652/Ksce.2013.33.6.2509.

    Article  Google Scholar 

  • Kirchbach, K. and Runde, C. (2011). “Optimized work flow through vr and ar technology on construction sites.” IEEE. Int. Con. Int. Vis. 15th, pp. 549–551, DOI: 10.1109/IV.2011.11

    Google Scholar 

  • Kwon, O. S., Park, C. S., and Lim, C. R. (2014). “A defect management system for reinforced concrete work utilizing BIM, image-matching and augmented reality,” Automat. Constr., Vol. 46, pp. 74–81, DOI: 10.1016/j.autcon.2014.05.005.

    Article  Google Scholar 

  • Lowe, D. G. (2004). “Distinctive image features from scale-invariant keypoints,” Int. J. Comput. Vision, Vol. 60, No. 2, pp. 91–110, DOI: 10.1023/B:VISI.0000029664.99615.94.

    Article  Google Scholar 

  • Raajana, N. R., Suganya, S., Hemanand, R., Janani, S., Sarada Nandini, N. S., and Ramanan Sruthi, V. (2012). “Augmented Reality for 3D Construction,” ICMOC 2012. Procedia Engineer, Vol. 38, pp. 66–72, DOI: 10.1016/j.proeng.2012.06.010.

    Google Scholar 

  • Riera, A. S., Redondo, E., Fonseca, D., and Navarro, I. (2013). “Construction processes using mobile augmented reality: A study case in building engineering degree,” Adv. Intel. Sys. Comp., Vol. 206, pp. 1053–1062, DOI: 10.1007/978-3-642-36981-0_100.

    Article  Google Scholar 

  • Wang, X., Truijens, M., Hou, L., Wang, Y., and Zhou, Y. (2014). “Integrating augmented reality with building information modeling: Onsite construction process controlling for liquefied natural gas industry,” Automat. Constr., Vol. 40, pp. 96–105, DOI: 10.1016/j.autcon. 2013.12.003.

    Article  Google Scholar 

  • Yang, M. D., Chao, C. F., Huang, K. S., Lu, L. Y., and Chen, Y. P. (2013). “Image-based 3D scene reconstruction and exploration in augmented reality,” Automat. Constr., Vol. 33, pp. 48–60, DOI: 10.1016/j.autcon.2012.09.017.

    Article  Google Scholar 

  • Zollmann, S., Hoppe, C., and Kluckner, S. (2014). “Augmented Reality for Construction Site Monitoring and Documentation,” IEEE. Proc., Vol. 102, No. 2, pp. 137–154, DOI: 10.1109/JPROC.2013.2294314.

    Article  Google Scholar 

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Authors and Affiliations

  1. Dept. of Civil Engineering, Univesity of Michigan, Ann Arbor, Michigan, USA

    Hyeon Seung Kim

  2. Dept. of Civil Engineering, Seoul National University of Science & Technology, Seoul, 01811, Korea

    Sung-Keun Kim

  3. Leonhard Obermeyer Center - Center of Digital Methods for the Built Environment, Technical University of Munich, 80639, Munich, Germany

    Andre Borrmann

  4. Dept. of Civil Engineering, Engineering Research Institute, Gyeongsang National University, Jinju, 52828, Korea

    Leen Seok Kang

Authors
  1. Hyeon Seung Kim
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  2. Sung-Keun Kim
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  3. Andre Borrmann
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  4. Leen Seok Kang
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Correspondence to Leen Seok Kang.

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Kim, H.S., Kim, SK., Borrmann, A. et al. Improvement of Realism of 4D Objects Using Augmented Reality Objects and Actual Images of a Construction Site. KSCE J Civ Eng 22, 2735–2746 (2018). https://doi.org/10.1007/s12205-017-0734-3

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  • DOI: https://doi.org/10.1007/s12205-017-0734-3

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