Implementing Remote-Sensing Methodologies for Construction Research: An Unoccupied Airborne System Perspective
Publication: Journal of Construction Engineering and Management
Volume 148, Issue 9
Abstract
In the past four decades, remote-sensing data and methodologies have been increasingly used in many fields to improve the efficiency, accuracy, or safety of data collection, and construction management is no exception. In recent years, unoccupied airborne systems (UAS), commonly referred to as drones, have emerged as an important platform for the collection of remote-sensing data. When coupled with increasingly affordable sensors and automated image processing techniques, UAS have made the application of remote-sensing approaches to myriad construction and civil engineering problems practical and attractive to the point that UAS-based airborne imaging is becoming routine for many construction management tasks. Based on our review of literature, a comprehensive discussion on the use of UAS methodologies for collecting and analyzing data to assist with construction research is much needed. This paper was developed to discuss current best practices in UAS aerial imagery collection and processing for construction research, including defining key terms. In addition, this paper discusses a variety of methods for the analysis of UAS collected aerial imagery for the following tasks: preconstruction planning, material tracking, project progress tracking, safety, as-built documentation, and building/structure inspection. This paper also includes a perspective on the future of UAS for a variety of construction management tasks. This work contributes to the Data Management and Data Science Body of Knowledge by informing construction researchers of the state of the art of UAS data collection and analysis methodologies. This study also provides practitioners with a comprehensive guide to the use of UAS for onsite construction management tasks, which is an essential component of e-Construction.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
No data, models, or code were generated or used during the study.
References
Akinosho, T. D., L. O. Oyedele, M. Bilal, A. O. Ajayi, M. D. Delgado, O. O. Akinade, and A. A. Ahmed. 2020. “Deep learning in the construction industry: A review of present status and future innovations.” J. Build. Eng. 32 (Nov): 101827. https://doi.org/10.1016/j.jobe.2020.101827.
Alizadehsalehi, S., I. Yitmen, T. Celik, and D. Arditi. 2020. “The effectiveness of an integrated BIM/UAV model in managing safety on construction site.” Int. J. Occup. Saf. Ergon. 26 (4): 829–844. https://doi.org/10.1080/10803548.2018.1504487.
American Society for Photogrammetry and Remote Sensing. 2015. “ASPRS positional accuracy standards for digital geospatial data.” Photogramm. Eng. Remote Sens. 81 (3): 1–26. https://doi.org/10.14358/PERS.81.3.A1-A26.
Aricak, B. 2015. “Using remote sensing data to predict road fill areas and areas affected by fill erosion with planned forest road construction: A case study in Kastamonu Regional Forest Directorate (Turkey).” Environ. Monit. Assess. 187 (7): 417. https://doi.org/10.1007/s10661-015-4663-7.
Baboo, S. S., and M. R. Devi. 2011. “Geometric correction in recent high resolution satellite imagery: A case study in Coimbatore, Tamil Nadu.” Int. J. Comput. Appl. 14 (1): 32–37. https://doi.org/10.5120/1808-2324.
Behnam, A., D. C. Wickramasinghe, M. A. A. Ghaffar, T. T. Vu, Y. H. Tang, and H. B. M. Isa. 2016. “Automated progress monitoring system for linear infrastructure projects using satellite remote sensing.” Autom. Constr. 68 (Aug): 114–127. https://doi.org/10.1016/j.autcon.2016.05.002.
Bischoff, P. 2021. “CCTV surveillance in the most populated cities in the United States.” Accessed February 18, 2022. https://www.comparitech.com/blog/vpn-privacy/us-surveillance-camera-statistics/.
Blaschke, T. 2010. “Object based image analysis for remote sensing.” ISPRS J. Photogramm. 65 (1): 2–16. https://doi.org/10.1016/j.isprsjprs.2009.06.004.
Bognot, J. R., C. G. Candido, A. C. Blanco, and J. R. Y. Montelibano. 2018. “Building construction progress monitoring using unmanned aerial system (UAS), low-cost photogrammetry, and geographic information system (GIS).” ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 4 (2): 41–47. https://doi.org/10.5194/isprs-annals-IV-2-41-2018.
Chen, K., G. Reichard, and X. Xu. 2019a. “Opportunities for applying camera-equipped drones towards performance inspections of building facades.” In Proc., 2019 ASCE Int. Conf. on Computing in Civil Engineering. Atlanta: ASCE.
Chen, Y., J. Zhang, and B. Min. 2019b. “Applications of BIM and UAV to construction safety.” In Proc., 2019 CSCE Annual Conf., CON254. Montréal: Canadian Society for Civil Engineering.
Choi, J., C. M. Yeum, S. J. Dyke, and M. R. Jahanshahi. 2018. “Computer-aided approach for rapid post-event visual evaluation of a building façade.” Sensors 18 (9): 3017. https://doi.org/10.3390/s18093017.
Colomina, I., and P. Molina. 2014. “Unmanned aerial systems for photogrammetry and remote sensing: A review.” ISPRS J. Photogramm. 92 (Jun): 79–97. https://doi.org/10.1016/j.isprsjprs.2014.02.013.
Congalton, R. G. 1991. “A review of assessing the accuracy of classifications of remotely sensed data.” Remote Sens. Environ. 37 (1): 35–46. https://doi.org/10.1016/0034-4257(91)90048-B.
Congalton, R. G., and K. Green. 1999. Assessing the accuracy of classifications of remotely sensed data: Principles and practices. Boca Raton, FL: Lewis Publishers.
Coulter, L. L., M. J. Plummer, N. H. Zamora, D. A. Stow, and R. W. McCreight. 2019. “Assessment of automated multitemporal image co-registration using repeat station imaging techniques.” GISci. Remote Sens. 56 (8): 1192–1209. https://doi.org/10.1080/15481603.2019.1629378.
Coulter, L. L., D. A. Stow, C. D. Lippitt, and G. Fraley. 2015. “Repeat station imaging for rapid airborne change detection.” In Time-sensitive remote sensing, 29–43. New York: Springer.
Daubney, C. P. 1985. “Some factors in the evaluation of image quality: A British view.” SMPTE J. 94 (1): 16–20. https://doi.org/10.5594/J04187.
de Melo, R. R. S., D. B. Costa, J. S. Alvares, and J. Irizarry. 2017. “Applicability of unmanned aerial system (UAS) for safety inspection on construction sites.” Saf. Sci. 98 (Oct): 174–185. https://doi.org/10.1016/j.ssci.2017.06.008.
Duarte, D., F. Nex, N. Kerle, and G. Vosselman. 2020. “Detection of seismic facade damages with multi-temporal oblique aerial imagery.” GISci. Remote Sens. 57 (5): 670–686. https://doi.org/10.1080/15481603.2020.1768768.
Durate, D., F. Nex, N. Kerle, and G. Vosselman. 2017. “Towards a more efficient detection of earthquake induced facade damages using oblique UAV imagery.” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 42 (2/W6): 93–100. https://doi.org/10.5194/isprs-archives-XLII-2-W6-93-2017.
Dustin, M. C. 2015. “Monitoring parks with inexpensive UAVs: Cost benefits analysis for monitoring and maintaining parks facilities.” M.S. thesis, Spatial Sciences Institute, Univ. of Southern California.
Entrop, A. G., and A. Vasenev. 2017. “Infrared drones in the construction industry: Designing a protocol for building thermography procedures.” Energy Procedia 132 (Oct): 63–68. https://doi.org/10.1016/j.egypro.2017.09.636.
Eschmann, C., C. M. Kuo, C. H. Kuo, and C. Boller. 2012. “Unmanned aircraft systems for remote building inspection and monitoring.” In Proc., 6th European Workshop on Structural Health Monitoring, 1–8. Dresden, Germany: German Society for Non-Destructive Testing.
Falorca, J. F., and J. C. G. Lanzinha. 2021. “Facade inspections with drones—Theoretical analysis and exploratory test.” Int. J. Build. Pathol. Adapt. 39 (2): 235–258. https://doi.org/10.1108/IJBPA-07-2019-0063.
Falorca, J. F., J. P. N. D. Miraldes, and J. C. G. Lanzinha. 2021. “New trends in visual inspection of buildings and structures: Study for the use of drones.” Open Eng. 11 (1): 734–743. https://doi.org/10.1515/eng-2021-0071..
Fang, Y., J. D. Chen, Y. Cho, and P. Zhang. 2016. “A point cloud-vision hybrid approach for 3D location tracking of mobile construction assets.” In Proc., the 33rd Int. Symp. on Automation and Robotics in Construction and Mining, 613–620. Auburn, AL: The International Association for Automation and Robotics in Construction.
Federal Aviation Administration. 2016. Part 107—Small unmanned aircraft systems. Washington, DC: Federal Aviation Administration.
Foody, G. M. 2002. “Status of land cover classification accuracy assessment.” Remote Sens. Environ. 80 (1): 185–201. https://doi.org/10.1016/S0034-4257(01)00295-4.
Gheisari, M., and B. Esmaeili. 2016. “Unmanned aerial systems (UAS) for construction safety applications.” In Proc., Construction Research Congress 2016, 2642–2650. San Juan, PR: Construction Research Congress.
Gheisari, M., J. Irizarry, and B. N. Walker. 2014. “UAS4SAFETY: The potential of unmanned aerial systems for construction safety applications.” In Proc., Construction Research Congress 2014, 1801–1810. Atlanta: Construction Research Congress.
Gould, F., and N. Joyce. 2014. Construction project management. 4th ed. Hoboken, NJ: Pearson.
Grillo, C. 2018. “The ROI of drones across the construction industry.” Accessed February 18, 2022. https://tinyurl.com/2s3bay4s.
Grosso, R., U. Mecca, G. Moglia, F. Prizzon, and M. Rebaudengo. 2020. “Collecting built environment information using UAVs: Time and applicability in building inspection activities.” Sustainability 12 (11): 4731. https://doi.org/10.3390/su12114731.
Hallermann, N., and G. Morgenthal. 2013. “Unmanned aerial vehicles (UAV) for the assessment of existing structures.” In Proc., IABSE Symp.: Long Span Bridges and Roofs—Development, Design, and Implementation, 1–8. Kolkata, West Bengal: International Association for Bridge and Structural Engineering.
Ham, Y., K. K. Han, J. J. Lin, and M. Golparvar-Fard. 2016. “Visual monitoring of civil infrastructure systems via camera-equipped unmanned aerial vehicles (UAVs): A review of related works.” Vis. Eng. 4 (1): 1–8. https://doi.org/10.1186/s40327-015-0029-z.
Hamledari, H., B. McCabe, S. Davari, A. Shahi, E. Rezazadeh Azar, and F. Flager. 2017. “Evaluation of computer vision- and 4D BIM-based construction progress tracking on a UAV platform.” In Proc., 2017 CSCE Annual Conf. and General Meeting—Leadership in Sustainable Infrastructure. Vancouver, BC, Canada: Canadian Society for Civil Engineering.
Hammad, A. W. A., B. B. F. da Costa, C. A. P. Soares, and A. N. H. Haddad. 2021. “The use of unmanned aerial vehicles for dynamic site layout planning in large-scale construction project.” Buildings 11 (12): 602. https://doi.org/10.3390/buildings11120602.
Han, D., S. B. Lee, M. Song, and J. S. Cho. 2021. “Change detection in unmanned aerial vehicle images for progress monitoring of road construction.” Buildings 11 (4): 150. https://doi.org/10.3390/buildings11040150.
Hassan-Esfahani, L., A. Torres-Rua, A. Jensen, and M. McKee. 2015. “Assessment of surface soil moisture using high-resolution multi-spectral imagery and artificial neural networks.” Remote Sens. 7 (3): 2627–2646. https://doi.org/10.3390/rs70302627.
Hong, G., and Y. Zhang. 2008. “Wavelet-based image registration technique for high-resolution remote sensing image.” Comput. Geosci. 34 (12): 1708–1720. https://doi.org/10.1016/j.cageo.2008.03.005.
Howard, J., V. Murashov, and C. M. Branche. 2017. “Unmanned aerial vehicles in construction and worker safety.” Am. J. Ind. Med. 61 (1): 3–10. https://doi.org/10.1002/ajim.22782.
Hubbard, B., H. Wang, M. Leasure, T. Ropp, T. Lofton, S. Hubbard, and S. Lin. 2015. “Feasibility study of UAV use for RFID material tracking on construction sites.” In Proc., 51st ASC Annual Int. Conf. College Station, TX: The Associated Schools of Construction.
Hubbard, S., and B. Hubbard. 2016. “UAS in the construction industry.” In Proc., 2016 Int. Conf. on Construction and Real Estate Management. Edmonton, AB, Canada: The Construction Institute of the American Society of Civil Engineers.
Irizarry, J., and D. B. Costa. 2016. “Exploratory study of potential applications of unmanned aerial systems for construction management tasks.” J. Manage. Eng. 32 (3): 05016001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000422.
Irizarry, J., M. Gheisari, and B. N. Walker. 2012. “Usability assessment of drone technology as safety inspection tools.” J. Inf. Technol. Construct. 17 (12): 194–212.
Jacob-Loyola, N., F. M. Rivera, R. F. Herrera, and E. Atencio. 2021. “Unmanned aerial vehicles (UAVs) for physical progress monitoring of construction.” Sensors 21 (12): 4227. https://doi.org/10.3390/s21124227.
Janowicz, K., S. Gao, G. McKenzie, Y. Hu, and B. Bhaduri. 2020. “GeoAI: Spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond.” Int. J. Geogr. Inf. Sci. 34 (4): 625–636. https://doi.org/10.1080/13658816.2019.1684500.
Jeelani, I., and M. Gheisari. 2021. “Safety challenges of UAV integration in construction: Conceptual analysis and future research roadmap.” Saf. Sci. 144 (Dec): 105473. https://doi.org/10.1016/j.ssci.2021.105473.
Jensen, J. R. 2004. Introductory digital image processing—A remote sensing perspective. 3rd ed. Hoboken, NJ: Pearson.
Jensen, J. R. 2006. Remote sensing of the environment—An Earth resource perspective. 2nd ed. Hoboken, NJ: Pearson.
Jeziorska, J. 2019. “UAS for wetland mapping and hydrological modeling.” Remote Sens. 11 (17): 1997. https://doi.org/10.3390/rs11171997.
Jiang, W., Y. Zhou, L. Ding, C. Zhou, and X. Ning. 2020. “UAV-based 3D reconstruction for hoist site mapping and layout planning in petrochemical construction.” Autom. Constr. 113 (May): 103137. https://doi.org/10.1016/j.autcon.2020.103137.
Kaamin, M., S. N. M. Razali, and N. F. A. Ahmad. 2017. “The application of micro UAV in construction project.” In Proc., 2nd Int. Conf. Applied Science and Technology, 020070. Kedah, Malaysia: American Institute of Physics.
Kang, S., M. Park, and W. Suh. 2019. “Feasibility study of the unmanned-aerial-vehicle radio-frequency identification system for localizing construction materials on large-scale open sites.” Sens. Mater. 31 (5): 1449–1465. https://doi.org/10.18494/SAM.2019.2266.
Kelly, M., S. D. Blanchard, E. Kersten, and K. Koy. 2011. “Terrestrial remotely sensed imagery in support of public health: New avenues of research using object-based image analysis.” Remote Sens. 3 (11): 2321–2345. https://doi.org/10.3390/rs3112321.
Kerle, N., F. Nex, M. Gerke, D. Duarte, and A. Vetrivel. 2020. “UAV-based structural damage mapping: A review.” ISPRS Int. J. Geo-Inf. 9 (1): 14. https://doi.org/10.3390/ijgi9010014.
Kielhauser, C., R. R. Manzano, J. J. Hoffman, and B. T. Adey. 2020. “Automated construction progress and quality monitoring for commercial buildings with unmanned aerial systems: An application study from Switzerland.” Infrastructures 5 (11): 98. https://doi.org/10.3390/infrastructures5110098.
Kim, D., S. Lee, and V. Kamat. 2020. “Proximity prediction of mobile objects to prevent contact-driven accidents in co-robotic construction.” J. Comput. Civ. Eng. 24 (4): 04020022. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000899.
Krawczyk, J., A. Mazur, T. Sasin, and A. W. Stoklosa. 2015. “Infrared building inspection with unmanned aerial vehicle.” Trans. Inst. Aviat. 240 (3): 32–48. https://doi.org/10.5604/05096669.1194965.
Kucharczyk, M., G. J. Hay, S. Ghaffarian, and C. H. Hugenholtz. 2020. “Geographic object-based image analysis: A primer and future directions.” Remote Sens. 12 (12): 2012. https://doi.org/10.3390/rs12122012.
Lillian, B. 2019. “Report: Data management a challenge for public safety UAS programs.” Accessed September 1, 2021. https://doi.org/10.3390/rs12122012.
Lin, J. J., K. K. Han, and M. Golparvar-Fard. 2015. “A framework for model-driven acquisition and analytics of visual data using UAVs for automated construction progress monitor.” In Proc., 2015 Int. Workshop on Computing in Civil Engineering, 156–164. Austin, TX: ASCE.
Lippitt, C. D., and S. Zhang. 2018. “The impact of small unmanned airborne platforms on passive optical remote sensing: A conceptual perspective.” Int. J. Remote Sens. 39 (15–16): 4852–4868. https://doi.org/10.1080/01431161.2018.1490504.
Lisein, J., J. Linchant, P. Lejeune, P. Bouche, and C. Vermeulen. 2013. “Aerial surveys using an unmanned aerial system (UAS): Comparison of different methods for estimating the surface area of sampling strips.” Trop. Conserv. Sci. 6 (4): 506–520. https://doi.org/10.1177/194008291300600405.
Liu, J., X. Dong, J. Hyyppa, and Y. Liang. 2021a. “A survey of applications with combined BIM and 3D laser scanning in the life cycle of buildings.” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 14 (Mar): 5627–5637. https://doi.org/10.1109/JSTARS.2021.3068796.
Liu, J., Q. Zhang, J. Wu, and Y. Zhao. 2018. “Dimensional accuracy and structural performance assessment of spatial structure components using 3D laser scanning.” Autom. Constr. 96 (Dec): 324–336. https://doi.org/10.1016/j.autcon.2018.09.026.
Liu, Y., Y. Lin, J. K. W. Yeoh, D. K. H. Chua, L. W. C. Wong, M. H. Ang Jr., W. L. Lee, and Y. L. Chew. 2021b. “Framework for automated UAV-based inspection of external building facade.” In Advances in 21st century human settlements, 173–194. Singapore: Springer.
Loerch, A. C., G. Paulus, and C. D. Lippitt. 2018. “Volumetric change detection with using structure from motion—The impact of repeat station imaging.” GI Forum. 6 (1): 135–151. https://doi.org/10.1553/giscience2018_01_s135.
Maggiori, E., Y. Tarabalka, and G. Charpiat. 2015. “Optimizing partition trees for multi-object segmentation with shape prior.” In Proc., British Machine Vision Conf. 2015, 1–12. Swansea, Wales: British Machine Vision Association.
Maggiori, E., Y. Tarabalka, G. Charpiat, and P. Alliez. 2017. “Can semantic labeling methods generalize to any city? The Inria aerial image labeling benchmark.” In Proc., IEEE Int. Symp. on Geoscience and Remote Sensing. Fort Worth, TX: IEEE.
Martinez, J. G., M. Gheisari, and L. F. Alarcon. 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. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000761.
Moselhi, O., H. Bardareh, and Z. Zhu. 2020. “Automated data acquisition in construction with remote sensing technologies.” Appl. Sci. 10 (8): 2846. https://doi.org/10.3390/app10082846.
Nasir, A. R., and H. Bargstadt. 2017. “An approach to develop video tutorials for construction tasks.” Procedia Eng. 196 (Jan): 1088–1097. https://doi.org/10.1016/j.proeng.2017.08.066.
Pell, T., J. Y. Q. Li, and K. E. Joyce. 2022. “Demystifying the differences between structure-from-motion software packages for pre-processing drone data.” Drones 6 (1): 24. https://doi.org/10.3390/drones6010024.
Pereira, F. C., and C. E. Pereira. 2015. “Embedded image processing systems for automatic recognition of cracks using UAVs.” In Proc., 2nd IFAC Conf. on Embedded Systems, Computer Intelligence and Telematics CESCIT. Maribor, Slovenia: International Federation of Automatic Control.
Powell, J. 2019. “In roadbuilding and bridge inspections, drones cut time, costs and safety risks.” Accessed February 1, 2022. https://www.equipmentworld.com/better-roads/article/14970683/drones-cut-time-costs-and-safety-risks-in-construction.
Qu, T., W. Zang, Z. Peng, J. Liu, W. Li, Y. Zhu, B. Zhang, and Y. Wang. 2017. “Construction site monitoring using UAV oblique photogrammetry and BIM technologies.” In Proc., 22nd Int. Conf. Assoc. for Computer-Aided Architectural Design Research in Asia, 656–662. Hong Kong: The Association for Computer-Aided Architectural Design Research in Asia.
Rakha, T., and A. Gorodetsky. 2018. “Review of unmanned aerial system (UAS) applications in the built environment: Towards automated building inspection procedures using drones.” Autom. Constr. 93 (Sep): 252–264. https://doi.org/10.1016/j.autcon.2018.05.002.
Rejeb, A., K. Rejeb, S. Simske, and H. Treiblmaier. 2021. “Humanitarian drones: A review and research agenda.” Internet Things 16 (Dec): 100434. https://doi.org/10.1016/j.iot.2021.100434.
Roca, D., J. Armesto, S. Laguela, and L. Diaz-Vilarino. 2014. “LiDAR-equipped UAV for building information modeling.” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 45 (5): 523–527. https://doi.org/10.5194/isprsarchives-XL-5-523-2014.
Roca, D., S. Laguela, L. Diaz-Vilarino, J. Armesto, and P. Arias. 2013. “Low-cost aerial unit for outdoor inspection of building facades.” Autom. Constr. 36 (Dec): 128–135. https://doi.org/10.1016/j.autcon.2013.08.020.
Rodriguez-Gonzalves, P., D. Gonzalez-Aguilera, G. Lopez-Jimenez, and I. Picon-Cabrera. 2014. “Image-based modeling of built environment from an unmanned aerial system.” Autom. Constr. 48 (Dec): 44–52. https://doi.org/10.1016/j.autcon.2014.08.010.
Ruiz, R. D. B., A. C. Lordsleem Jr., J. H. A. Rocha, and J. Irizarry. 2021. “Unmanned aerial vehicles (UAV) as a tool for visual inspection of building facades in AEC+FM industry.” Constr. Innovation. https://doi.org/10.1108/CI-07-2021-0129.
Sardroud, J. M. 2012. “Influence of RFID technology on automated management of construction materials and components.” Sci. Iran. 19 (3): 381–392. https://doi.org/10.1016/j.scient.2012.02.023.
Siebert, S., and J. Teizer. 2014. “Mobile 3D mapping for surveying earthwork projects using an unmanned aerial vehicle (UAV) system.” Autom. Constr. 41 (May): 1–14. https://doi.org/10.1016/j.autcon.2014.01.004.
Song, L., T. Mohammed, D. Stayshich, and N. Eldin. 2015. “A cost effective material tracking and locating solution for material laydown yard.” Procedia Eng. 123 (Jan): 538–545. https://doi.org/10.1016/j.proeng.2015.10.106.
Stow, D. A., L. L. Coulter, C. D. Lippitt, G. MacDonald, R. McCreight, and N. Zamora. 2016. “Evaluation of geometric elements of repeat station imaging and registration.” Photogramm. Eng. Rem. Sens. 82 (10): 775–789. https://doi.org/10.14358/PERS.82.10.775.
Strahler, A. H., C. E. Woodcock, and J. A. Smith. 1986. “On the nature of models in remote sensing.” Remote Sens. Environ. 20 (2): 121–139. https://doi.org/10.1016/0034-4257(86)90018-0.
Taff, W. M. 2018. “Object detection and digitization from aerial imagery using neural networks.” M.S. thesis, Spatial Sciences Institute, Univ. of Southern California.
Tahar, K. N. 2015. “Efficiency and cost comparison of UAV/field survey.” In Proc., 2015 Int. Conf. on Space Science and Communication, 428–433. Langkawi, Malaysia: IEEE.
Tatum, M. C., and J. Liu. 2017. “Unmanned aircraft system applications in construction.” Procedia Eng. 196 (Jan): 167–175. https://doi.org/10.1016/j.proeng.2017.07.187.
Toutin, T. 2004. “Review article: Geometric processing of remote sensing images: Models, algorithms, and methods.” Int. J. Remote Sens. 25 (10): 1893–1924. https://doi.org/10.1080/0143116031000101611.
Trajkovski, K. K., D. Grigillo, and D. Petrovic. 2020. “Optimization of UAV flight missions in steep terrain.” Remote Sens. 12 (8): 1293. https://doi.org/10.3390/rs12081293.
Tu, J. H., H. G. Sui, W. Q. Feng, and Q. Jia. 2017. “Detecting façade damage on moderate damaged type from high-resolution oblique aerial images.” IEEE. J. Sel. Top. Appl. Earth Obs. Remote Sens. 10 (12): 5598–5607. https://doi.org/10.1109/JSTARS.2017.2750170.
Valero, E., A. Adan, and F. Bosche. 2016. “Semantic 3D reconstruction of furnished interiors using laser scanning and RFID technology.” J. Comput. Civ. Eng. 30 (4): 04015053. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000525.
Verykokou, S., and C. Ioannidis. 2016. “Automatic rough georeferencing of multiview oblique and vertical aerial image datasets of urban scenes.” Photogramm. Rec. 31 (155): 281–303. https://doi.org/10.1111/phor.12156.
Wang, B. H., D. B. Wang, Z. A. Ali, B. T. Ting, and H. Wang. 2019. “An overview of various kinds of wind effects on unmanned aerial vehicle.” Meas. Control 52 (7–8): 731–739. https://doi.org/10.1177/0020294019847688.
Wang, D., X. Xue, and Z. Chen. 2016. “Application of UAVs for construction site safety management.” In Proc., Int. Conf. Construction and Real Estate Management 2016, 362–366. Edmonton, AB, Canada: Modernization of Management Committee of the China Construction Industry Association and the Construction Institute of ASCE.
Wickramasinghe, D. C., T. T. Vu, and T. Maul. 2018. “Satellite remote-sensing monitoring of a railway construction project.” Int. J. Remote Sens. 39 (6): 1754–1769. https://doi.org/10.1080/01431161.2017.1415481.
Won, D., S. Chi, and M. Park. 2020. “UAV-RFID integration for construction resource localization.” KSCE J. Civ. Eng. 24 (6): 1683–1695. https://doi.org/10.1007/s12205-020-2074-y.
Wu, C., Y. Yuan, Y. Tang, and B. Tian. 2022. “Application of terrestrial laser scanning (TLS) in the architecture, engineering, and construction industry.” Sensors 22 (1): 265. https://doi.org/10.3390/s22010265.
Ye, S., R. G. Pontius Jr., and R. Rakshit. 2018. “A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches.” ISPRS J. Photogramm. 141 (Jul): 137–147. https://doi.org/10.1016/j.isprsjprs.2018.04.002.
Yuan, X., J. Fu, H. Sun, and C. Toth. 2009. “The application of GPS precise point positioning technology in aerial triangulation.” ISPRS J. Photogramm. 64 (6): 541–550. https://doi.org/10.1016/j.isprsjprs.2009.03.006.
Zhang, M., T. Cao, and X. Zhao. 2017. “Applying sensor-based technology to improve construction safety management.” Sensors 17 (8): 1841. https://doi.org/10.3390/s17081841.
Zhang, R., H. Li, K. Duan, S. You, K. Liu, F. Wang, and Y. Hu. 2020a. “Automatic detection of earthquake-damaged buildings by integrating UAV oblique photography and infrared thermal imaging.” Remote Sens. 12 (16): 2621. https://doi.org/10.3390/rs12162621.
Zhang, S., S. V. Baros, and S. M. Bogus. 2020b. Bridge deck inspection using small unmanned aircraft systems based airborne imaging techniques. Albuquerque, NM: Univ. of New Mexico.
Zhang, S., and S. M. Bogus. 2014. “Use of low-cost remote sensing for infrastructure management.” In Proc., Construction Research Congress 2014, 1299–1308. Atlanta: Construction Research Congress.
Zhang, S., S. M. Bogus, C. D. Lippitt, and J. E. Sprague. 2018. “Geospatial technologies for collecting construction material information.” In Proc., Construction Research Congress 2018, 660–669. New Orleans: Construction Research Congress.
Zhang, S., F. Han, and S. M. Bogus. 2020c. “Building footprint and height information extraction from airborne LiDAR and aerial imagery.” In Proc., Construction Research Congress 2020, 3260–3335. Tempe, AZ: Construction Research Congress.
Zhang, S., C. D. Lippitt, S. M. Bogus, A. C. Loerch, and J. O. Sturm. 2016a. “The accuracy of aerial triangulation products automatically generated from hyper-spatial resolution digital aerial photography.” Remote Sens. Lett. 7 (2): 160–169. https://doi.org/10.1080/2150704X.2015.1121299.
Zhang, S., C. D. Lippitt, S. M. Bogus, and P. R. H. Neville. 2016b. “Characterizing pavement surface distress conditions with hyper-spatial resolution natural color aerial photography.” Remote Sens. 8 (5): 392. https://doi.org/10.3390/rs8050392.
Zhang, Y., J. Xiong, and L. Lao. 2011. “Photogrammetric processing of low-altitude images acquired by unpiloted aerial vehicles.” Photogramm. Rec. 26 (134): 190–211. https://doi.org/10.1111/j.1477-9730.2011.00641.x.
Zhang, Z., G. Vosselman, M. Gerke, C. Persello, D. Tuia, and M. Y. Yang. 2019. “Detecting building changes between airborne laser scanning and photogrammetric data.” Remote Sens. 11 (20): 2417. https://doi.org/10.3390/rs11202417.
Zheng, H., X. Zhong, J. Yan, L. Zhao, and X. Wang. 2020. “A thermal performance detection method for building envelope based on 3D model generated by UAV thermal imagery.” Energies 13 (24): 6677. https://doi.org/10.3390/en13246677.
Zhou, S., and M. Gheisari. 2018. “Unmanned aerial system applications in construction: A systematic review.” Constr. Innovation 18 (4): 453–468. https://doi.org/10.1108/CI-02-2018-0010.
Zou, Y., G. Li, and S. Wang. 2018. “The fusion of satellite and unmanned aerial vehicle (UAV) imagery for improving classification performance.” In Proc., 2018 IEEE Int. Conf. on Information and Automation, 836–841. Wuyishan, Fujian: IEEE.
Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 148 • Issue 9 • September 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Published online: Jun 27, 2022
Published in print: Sep 1, 2022
Discussion open until: Nov 27, 2022
ASCE Technical Topics:
- Business management
- Computer vision and image processing
- Construction engineering
- Construction management
- Construction methods
- Data analysis
- Data collection
- Engineering fundamentals
- Information management
- Management methods
- Measurement (by type)
- Methodology (by type)
- Practice and Profession
- Research methods (by type)
- Sensors and sensing
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
- Jiahao Wu, Yang Ye, Jing Du, Autonomous Drones in Urban Navigation: Autoencoder Learning Fusion for Aerodynamics, Journal of Construction Engineering and Management, 10.1061/JCEMD4.COENG-14787, 150, 7, (2024).
- Yongji Yan, Hongyuan Wang, Boyi Song, Zhaodong Chen, Rongwei Fan, Deying Chen, Zhiwei Dong, Airborne Streak Tube Imaging LiDAR Processing System: A Single Echo Fast Target Extraction Implementation, Remote Sensing, 10.3390/rs15041128, 15, 4, (1128), (2023).
- Zhihao Huang, Lumei Su, Jiajun Wu, Yuhan Chen, Rock Image Classification Based on EfficientNet and Triplet Attention Mechanism, Applied Sciences, 10.3390/app13053180, 13, 5, (3180), (2023).
- Charles T. Jahren, Patrick X. W. Zou, John E. Taylor, Edward J. Jaselskis, Second Special Collection on Research Methodologies in Construction Engineering and Management, Journal of Construction Engineering and Management, 10.1061/JCEMD4.COENG-13129, 149, 2, (2023).
- Srijeet Halder, Kereshmeh Afsari, John Serdakowski, Stephen DeVito, Mahnaz Ensafi, Walid Thabet, Real-Time and Remote Construction Progress Monitoring with a Quadruped Robot Using Augmented Reality, Buildings, 10.3390/buildings12112027, 12, 11, (2027), (2022).
- Jabulani Matsimbe, Wisdom Mdolo, Charles Kapachika, Innocent Musonda, Megersa Dinka, Comparative utilization of drone technology vs. traditional methods in open pit stockpile volumetric computation: A case of njuli quarry, Malawi, Frontiers in Built Environment, 10.3389/fbuil.2022.1037487, 8, (2022).