건설생산성 향상을 위한 사업관리 기술 (Management Practices) 개발 및 컴퓨터 비전 (Computer Vision) 활용 연구 동향

  • 김정렬 (한국건설기술연구원 건설관리경제연구실)
  • Published : 2014.02.01

Abstract

Keywords

References

  1. Cheng, T., Teizer, J., Migliaccio, G. C., and Gatti, U. C. (2013). "Automated task-level activity analysis through fusion of real time location sensors and worker's thoracic posture data."Automation in Construction, 29(0), 24-39. https://doi.org/10.1016/j.autcon.2012.08.003
  2. Chi, S., and Caldas, C. H. (2011). "Automated Object Identification Using Optical Video Cameras on Construction Sites."Computer-Aided Civil and Infrastructure Engineering, 26(5), 368-380. https://doi.org/10.1111/j.1467-8667.2010.00690.x
  3. CII. (2011). A Guide to Construction Rework Reduction. RT252-2b, Construction Industry Institute, the University of Texas at Austin, Austin, TX.
  4. CII. (2013). Best Productivity Practices Implementation Index ? Industrial Projects. RT252- 2c, Construction Industry Institute, the University of Texas at Austin, Austin, TX.
  5. Gong, J., and Caldas, C. (2010)." Computer Vision- Based Video Interpretation Model for Automated Productivity Analysis of Construction Operations." Journal of Computing in Civil Engineering, 24(3), 252-263. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000027
  6. Gong, J., Caldas, C. H., and Gordon, C. (2011). "Learning and classifying actions of construction workers and equipment using Bag-of-Video- Feature-Words and Bayesian network models." Advanced Engineering Informatics, 25(4), 771-782. https://doi.org/10.1016/j.aei.2011.06.002
  7. Gouett, M., Haas, C., Goodrum, P., and Caldas, C. (2011). "Activity Analysis for Direct-Work Rate Improvement in Construction." Journal of Construction Engineering and Management, 137(12), 1117-1124. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000375
  8. Heydarian, A., Golparvar-Fard, M., and Niebles, J. C. (2012). "Automated Visual Recognition of Construction Equipment Actions Using Spatio- Temporal Features and Multiple Binary Support Vector Machines."American Society of Civil Engineers, 889-898.
  9. Jenkins, J. L., and Orth, D. L. (2004)." Productivity Improvement Through Work Sampling."Cost Engineering, 46(3), 27-32.
  10. Liou, F., and Borcherding, J. (1986). "Work Sampling Can Predict Unit Rate Productivity."Journal of Construction Engineering and Management, 112(1), 90-103. https://doi.org/10.1061/(ASCE)0733-9364(1986)112:1(90)
  11. Memarzadeh, M., Golparvar-Fard, M., and Niebles, J. C. (2013)." Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors." Automation in Construction, 32, 24-37. https://doi.org/10.1016/j.autcon.2012.12.002
  12. Oglesby, C. H. (1989). Productivity improvement in construction. McGraw-Hill series in construction engineering and project management, McGraw-Hill, New York.
  13. Park, M.-W., and Brilakis, I. (2012). "Construction worker detection in video frames for initializing vision trackers." Automation in Construction, 28, 15-25. https://doi.org/10.1016/j.autcon.2012.06.001
  14. Peddi, A., Huan, L., Bai, Y., and Kim, S. (2009). "Development of Human Pose Analyzing Algorithms for the Determination of Construction Productivity in Real-Time." American Society of Civil Engineers, 11-20.
  15. Ranaweera, K., Ruwanpura, J., and Fernando, S. (2013). "Automated Real-Time Monitoring System to Measure Shift Production of Tunnel Construction Projects." Journal of Computing in Civil Engineering, 27(1), 68-77. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000199
  16. Rezazadeh Azar, E., and McCabe, B. (2012). "Automated Visual Recognition of Dump Trucks in Construction Videos." Journal of Computing in Civil Engineering, 26(6), 769-781. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000179
  17. Yang, J., Vela, P., Teizer, J., and Shi, Z. (2009). "Vision-Based Crane Tracking for Understanding Construction Activity." Computing in Civil Engineering (2011), American Society of Civil Engineers, 258-265.