811
Views
4
CrossRef citations to date
0
Altmetric
Articles

Monitoring road base course construction progress by photogrammetry-based 3D reconstruction

, , &

References

  • Agisoft Metashape. 2021. (Version 1.7.1 build 11797).
  • Association ARTB. 2020. U.S. Transportation Construction Market Forecast 2020.
  • Behnam A, Wickramasinghe DC, Ghaffar MAA, Vu TT, Tang YH, Isa HBM. 2016. Automated progress monitoring system for linear infrastructure projects using satellite remote sensing. Autom Constr. 68:114–127.
  • Bhargava A, Anastasopoulos Panagiotis C, Labi S, Sinha Kumares C, Mannering Fred L. 2010. Three-stage least-squares analysis of time and cost overruns in construction contracts. J Constr Eng Manage. 136(11):1207–1218.
  • Biçici S, Zeybek M. 2021. An approach for the automated extraction of road surface distress from a UAV-derived point cloud. Autom Constr. 122:103475.
  • Bosché F. 2010. Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction. Adv Eng Inf. 24(1):107–118.
  • Bosché F, Guillemet A, Turkan Y, Haas Carl T, Haas R. 2014. Tracking the built status of MEP works: assessing the value of a scan-vs-BIM system. J Comput Civ Eng. 28(4):05014004.
  • Braun A, Tuttas S, Borrmann A, Stilla U. 2020. Improving progress monitoring by fusing point clouds, semantic data and computer vision. Autom Constr. 116:103210.
  • Cantarelli CC, Flybjerg B, Molin EJ, Van Wee B. 2010. Cost overruns in large-scale transportation infrastructure projects: Explanations and their theoretical embeddedness. Eur J Transp Infrastruct Res. 10(1).
  • Chen C, Zhu Z, Hammad A. 2020. Automated excavators activity recognition and productivity analysis from construction site surveillance videos. Autom Constr. 110:103045.
  • CloudCompare. 2021. (Version 2.11.alpha) http://www.cloudcompare.org/.
  • Gransberg D, Popescu C, Ryan RC. 2006. Construction equipment management for engineers, estimators, and owners. Boca Raton (FL): CRC Press.
  • Han KK, Cline D, Golparvar-Fard M. 2015. Formalized knowledge of construction sequencing for visual monitoring of work-in-progress via incomplete point clouds and low-LoD 4D BIMs. Adv Eng Inf. 29(4):889–901.
  • Han KK, Golparvar-Fard M. 2015. Appearance-based material classification for monitoring of operation-level construction progress using 4D BIM and site photologs. Autom Constr. 53:44–57.
  • Hubbard B, Hubbard S. 2021. Utilization of UAS data by transportation agencies: building on the experience of construction contractors. Int J Constr Manage. 1–13. DOI: 10.1080/15623599.2021.1914888.
  • Jacob-Loyola N, Muñoz-La Rivera F, Herrera RF, Atencio E. 2021. Unmanned aerial vehicles (UAVs) for physical progress monitoring of construction. Sensors. 21(12):4227.
  • Julge K, Ellmann A, Köök R. 2019. Unmanned aerial vehicle surveying for monitoring road construction earthworks. Baltic J Road Bridge Eng. 14(1):1–17.
  • Kamari M, Ham Y. 2021. Vision-based volumetric measurements via deep learning-based point cloud segmentation for material management in jobsites. Autom Constr. 121:103430.
  • Kielhauser C, Renteria Manzano R, Hoffman JJ, Adey BT. 2020. Automated construction progress and quality monitoring for commercial buildings with unmanned aerial systems: an application study from Switzerland. Infrastructures. 5(11):98.
  • Kim J, Chi S. 2020. Multi-camera vision-based productivity monitoring of earthmoving operations. Autom Constr. 112:103121.
  • Kim J, Lee S, Seo J, Lee D-E, Choi HS. 2021. The integration of earthwork design review and planning using UAV-based point cloud and BIM. Appl Sci. 11(8):3435.
  • Kim C, Son H, Kim C. 2013. Automated construction progress measurement using a 4D building information model and 3D data. Autom Constr. 31:75–82.
  • Kopsida M, Brilakis I, Vela P. 2015. A review of automated construction progress monitoring and inspection methods. In: Proceedings of the 32nd CIB W78 Conference.
  • Lague D, Brodu N, Leroux J. 2013. Accurate 3 D comparison of complex topography with terrestrial laser scanner: application to the Rangitikei canyon (NZ). ISPRS J Photogramm Remote Sensing. 82:10–26.
  • Li Y, Liu C. 2019. Applications of multirotor drone technologies in construction management. Int J Constr Manage. 19(5):401–412.
  • Lutz JD, Hijazi A. 1993. Planning repetitive construction: current practice. Constr Manage Econ. 11(2):99–110.
  • Martinez JG, Gheisari M, Alarcón Luis F. 2020. UAV integration in current construction safety planning and monitoring processes: case study of a high-rise building construction project in Chile. J Manage Eng. 36(3):05020005.
  • Memon ZA, Majid Muhd Zaimi A, Mustaffar M. 2005. An automatic project progress monitoring model by integrating auto CAD and digital photos. Comput Civ Eng. 2020:1–13. DOI: 10.1061/40794(179)151 (Proceedings).
  • Noruwa BI, Arewa AO, Merschbrock C. 2020. Effects of emerging technologies in minimising variations in construction projects in the UK. Int J Constr Manage. 1–8. DOI: 10.1080/15623599.2020.1772530.
  • Omar T, Nehdi ML. 2016. Data acquisition technologies for construction progress tracking. Autom Constr. 70:143–155.
  • Puri N, Turkan Y. 2020. Bridge construction progress monitoring using lidar and 4D design models. Autom Constr. 109:102961.
  • Siebert S, Teizer J. 2014. Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system. Autom Constr. 41:1–14.
  • Son H, Kim C. 2010. 3D structural component recognition and modeling method using color and 3D data for construction progress monitoring. Autom Constr. 19(7):844–854.
  • Song L, Eldin NN. 2012. Adaptive real-time tracking and simulation of heavy construction operations for look-ahead scheduling. Autom Constr. 27:32–39.
  • Taneja S, Akinci B, Garrett James H, Soibelman L, Ergen E, Pradhan A, Tang P, Berges M, Atasoy G, Liu X, et al. 2011. Sensing and field data capture for construction and facility operations. J Constr Eng Manage. 137(10):870–881.
  • Tian J, Luo S, Wang X, Hu J, Yin J. 2021. Crane lifting optimization and construction monitoring in steel bridge construction project based on BIM and UAV. Adv Civ Eng. 2021:1–15.
  • Turkan Y, Bosché F, Haas Carl T, Haas R. 2013. Toward automated earned value tracking using 3D imaging tools. J Constr Eng Manage. 139(4):423–433.
  • Turkan Y, Bosche F, Haas CT, Haas R. 2012. Automated progress tracking using 4D schedule and 3D sensing technologies. Autom Constr. 22:414–421.
  • Vick S, Brilakis I. 2018. Road design layer detection in point cloud data for construction progress monitoring. J Comput Civ Eng. 32(5):04018029.
  • Wang Q, Kim M-K. 2019. Applications of 3D point cloud data in the construction industry: a fifteen-year review from 2004 to 2018. Adv Eng Inf. 39:306–319.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.