Abstract
Modern data analysis and visualization make it possible for engineers and practitioners to holistically perceive the details of sites and the performance of transportation infrastructures. Advancements in the field of unmanned vehicles, complemented by the development of portable sensors, have paved the way for unmanned aerial platforms mounted with sensors, such as visible range, thermal, and hyper-spectral cameras for collecting infrastructure performance data. A research study was performed to monitor various transportation infrastructure sites, using unmanned aerial vehicles close-range photogrammetry (UAV-CRP). Images were geotagged, using data from a highly accurate real-time kinematic global navigation satellite system (GNSS) to develop orthomosaics, dense point clouds, and three-dimensional mapping products. An aerial data collection provides safe access to areas that are usually inaccessible, such as under bridges, steep and unstable slopes, and others, and can be leveraged by three-dimensional printing technology to obtain the accurate size and shape of the structural elements that are needed for repair and rehabilitation of the infrastructure. The holistic approach provided in this paper will facilitate the development of infrastructure visualization models that will provide vital understanding of the condition of the transportation infrastructure.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Congress, S.S.C., Puppala, A.J.: Novel methodology of using aerial close range photogrammetry technology for monitoring the pavement construction projects. In: International Airfield and Highway Pavements Conference, p. 11. ASCE, Chicago (2019)
ASCE: ASCE’s 2017 Infrastructure Report Card | GPA: D+. https://www.infrastructurereportcard.org/. Accessed 25 Oct 2018
Puppala, A.J., Congress, S.S.C., Banerjee, A.: Research advancements in expansive soil characterization, stabilization and geoinfrastructure monitoring, pp. 15–29 (2019). https://doi.org/10.1007/978-981-13-5871-5_2
Congress, S.S.C.: Novel Infrastructure Monitoring Using Multifaceted Unmanned Aerial Vehicle Systems - Close Range Photogrammetry (UAV - CRP) Data Analysis (2018). https://rc.library.uta.edu/uta-ir/handle/10106/27746?show=full
Puppala, A.J., Ruttanaporamakul, P., Congress, S.S.C.: Design and construction of lightweight EPS geofoam embedded geomaterial embankment system for control of settlements. Geotext. Geomembranes (2019). https://doi.org/10.1016/J.GEOTEXMEM.2019.01.015
Puppala, A.J., Congress, S.S.C., Bheemasetti, T.V., Caballero, S.: Geotechnical data visualization and modeling of civil infrastructure projects. In: GeoShanghai International Conference, pp. 1–12. Springer (2018)
McGlone, J.C., Mikhail, E.M., Bethel, J.S., Mullen, R.: Manual of Photogrammetry. American Society for Photogrammetry and Remote Sensing, ASPRS, Bethesda (2004)
Tahar, K.N., Ahmad, A.: A simulation study on the capabilities of rotor wing unmanned aerial vehicle in aerial terrain mapping. Int. J. Phys. Sci. 7, 1300–1306 (2012)
FAA: FAA Aerospace Forecast - Fiscal Years 2016–2036. https://www.faa.gov/data_research/aviation/aerospace_forecasts/media/FY2016-36_FAA_Aerospace_Forecast.pdf. Accessed 10 Mar 2019
Haulman, D.L.: US Unmanned Aerial Vehicles in Combat, 1991–2003, pp. 1–19. Air Force Historical Research Agency Maxwell AFB AL (2003)
Pereira, E., Bencatel, R., Correia, J., Félix, L., Gonçalves, G., Morgado, J., Sousa, J.: Unmanned Air Vehicles for Coastal and Environmental Research. J. Coast. Res. 1557–1561 (2009)
FAA: FAA-G-8082-22 Remote Pilot-Small Unmanned Aircraft Systems Study Guide. https://www.faa.gov/regulations_policies/handbooks_manuals/aviation/media/remote_pilot_study_guide.pdf. Accessed 13 Mar 2019
TxDOT: Unmanned Aircraft System (UAS) Flight Operations and User’s Manual TxDOT Flight Services. http://ftp.dot.state.tx.us/pub/txdot-info/avn/uas/user-manual.pdf. Accessed 13 Mar 2019
Doherty, P., Granlund, G., Kuchcinski, K., Sandwall, E., Nordberg, K., Skarman, E.: The WITAS unmanned aerial vehicle project. In: Proceedings of the 14th European Conference on Artificial Intelligence - ECAI 2000, pp. 747–755 (2000). 10.1.1.224.4052
Rathinam, S., Kim, Z.W., Sengupta, R.: Vision-based monitoring of locally linear structures using an unmanned aerial vehicle. J. Infrastruct. Syst. 14, 52–63 (2008)
Irizarry, J., Gheisari, M., Walker, B.N.: Usability assessment of drone technology as safety inspection tools. J. Inf. Technol. Constr. 17, 194–212 (2012)
Pereira, F.C., Pereira, C.E.: Embedded image processing systems for automatic recognition of cracks using UAVs. In: IFAC-PapersOnLine, pp. 16–21. Elsevier, Amsterdam (2015)
Marinelli, G., Bassani, M., Piras, M., Lingua, A.M.: Mobile mapping systems and spatial data collection strategies assessment in the identification of horizontal alignment of highways. Transp. Res. Part C Emerg. Technol. 79, 257–273 (2017)
Puppala, A.J., Talluri, N., Congress, S.S.C., Gaily, A.: Ettringite induced heaving in stabilized high sulfate soils. Innov. Infrastruct. Solut. 3, 72 (2018). https://doi.org/10.1007/s41062-018-0179-7
Congress, S.S.C., Puppala, A.J., Lundberg, C.L.: Total system error analysis of UAV-CRP technology for monitoring transportation infrastructure assets. Eng. Geol. (2018). https://doi.org/10.1016/J.ENGGEO.2018.11.002
Tony, D.: 35 State DOTs are Deploying Drones to Save Lives, Time and Money Survey Results Featured in Special Report Video: Building Highways in the Sky: State DOTs Leading the Evolution of Drones. https://www.youtube.com/watch?v=A0zrR_5ZyPU. Accessed 26 Aug 2018
McCormack, E.D., Trepanier, T.: The Use of Small Unmanned Aircraft by the Washington State Department of Transportation, pp. 1–27. Washington State Department of Transportation, Washington (2008)
Asphalt Institute: Improve Safety Save Time Survey Finds a Growing Number of State DOTS are Using Drones to Improve Safety and Collect Data Faster and Better-Saving Time and Money. http://www.asphaltinstitute.org/engineering/frequently-asked-questions-faqs/asphalt-pavement-construction/. Accessed 22 July 2018
McGuire, M., Rys, M.J., Rys, A.: A Study of How Unmanned Aircraft Systems can Support the Kansas Department of Transportation’s Efforts to Improve Efficiency, Safety, and Cost Reduction, pp. 1–105. Kansas Department of Transportation, Kansas (2016)
Lercel, D., Steckel, R., Pestka, J.: Unmanned Aircraft Systems: An Overview of Strategies and Opportunities for Missouri. Department of Transportation. Construction and Materials Division, Missouri (2018)
FAA: Integration Pilot Program Awardees. https://www.faa.gov/uas/programs_partnerships/uas_integration_pilot_program/awardees/. Accessed 28 Aug 2018
Jafari, N., Congress, S.S.C., Puppala, A.J., Nazari, H.M.: RAPID Collaborative: Data Driven Post-Disaster Waste and Debris Volume Predictions using Smartphone Photogrammetry App and Unmanned Aerial Vehicles. (2019). https://doi.org/10.17603/DS2TX26
Puppala, A.J., Congress, S.S.C., Bheemasetti, T.V., Caballero, S.R.: Visualization of civil infrastructure emphasizing geomaterial characterization and performance. J. Mater. Civ. Eng. 30 (2018). https://doi.org/10.1061/(ASCE)MT.1943-5533.0002434
Acknowledgments
The authors would like to acknowledge TxDOT project managers, Joe Adams and Chris Glancy, and the project members of TxDOT 0-6944 & TxDOT 05-6944-01 for providing funding support and assistance during the data collection tasks. They would also like to thank UTA team members Cody Lundberg, Ujwalkumar Patil, Ali Shafikhani, He Shi, and others for assisting with the data collection. The support and encouragement of the National Science Foundation Industry-University Cooperative Research Center (I/UCRC) program-funded ‘Center for the Integration of Composites into Infrastructure (CICI)’ site at UTA (NSF PD: Andre Marshall; Award # 1464489), USDOT’s University Transportation Centers (UTC), Transportation Consortium of South-Central States (Tran-SET) and Center for Transportation, Equity, Decisions and Dollars (CTEDD) is very much appreciated.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Puppala, A.J., Congress, S.S.C. (2020). A Holistic Approach for Visualization of Transportation Infrastructure Assets Using UAV-CRP Technology. In: Correia, A., Tinoco, J., Cortez, P., Lamas, L. (eds) Information Technology in Geo-Engineering. ICITG 2019. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-32029-4_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-32029-4_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32028-7
Online ISBN: 978-3-030-32029-4
eBook Packages: EngineeringEngineering (R0)