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01-12-2020 | Technical paper

Exploratory study of user-perceived effectiveness of unmanned aircraft system (UAS) integration in visual inspections of transportation agency

Authors: Sungjin Kim, Javier Irizarry

Published in: Innovative Infrastructure Solutions | Issue 3/2020

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Abstract

This research assesses the effectiveness of unmanned aircraft systems (UAS) and provides further implications and recommendations for UAS-based visual inspections in the construction and infrastructure environment. This study includes field tests at infrastructure projects provided by Georgia DOT, as well as semi-structured interviews and survey questionnaires after the field tests. A total of three field test locations were selected, including an airport, bridge, and road. During the field tests, eight UAS platforms were used to collect various data, including still images, infrared images, and video. Interviews with and a survey of industry professionals participating in the field tests were employed to measure the effectiveness of UAS integration into their construction-related task environments. The results of this study will assist in implementing UAS in infrastructure construction and operations. Since only a small number of potential UAS users from the field tests and post-test interviews, this study qualitatively describes further implications based on users’ perceptions, prompting the integration of UAS into the domain of infrastructure construction and operation.

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Wang X, Katz R, Dong XS (2018) Fatal injuries at road construction sites among construction workers. Cent. Constr. Reserach Train

Rakha T, Gorodetsky A (2018) Review of unmanned aerial system (UAS) applications in the built environment: towards automated building inspection procedures using drones. Autom Constr 93:252–264. https://doi.org/10.1016/J.AUTCON.2018.05.002CrossRef

Zhou S, Gheisari M (2018) Unmanned aerial system applications in construction: a systematic review. Constr Innov 18:453–468. https://doi.org/10.1108/CI-02-2018-0010CrossRef

Zhou Z, Irizarry J, Lu Y (2018) A multidimensional framework for unmanned aerial system applications in construction project management. J Manag Eng 34:04018004. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000597CrossRef

Irizarry J, Costa DB (2016) Exploratory study of potential applications of unmanned aerial systems for construction management tasks. J Manag Eng 32:05016001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000422CrossRef

Kim S, Paes D, Lee K et al (2019) UAS-based airport maintenance inspections: Lessons learned from pilot study implementation. ASCE International Conference on Computing in Civil Engineering 2019. American Society of Civil Engineers (ASCE), Atlanta, pp 382–389CrossRef

Omar T, Nehdi ML (2017) Remote sensing of concrete bridge decks using unmanned aerial vehicle infrared thermography. Autom Constr 83:360–371. https://doi.org/10.1016/j.autcon.2017.06.024CrossRef

Duque L, Seo J, Wacker J (2018) Bridge deterioration quantification protocol using UAV. J Bridg Eng 23:04018080. https://doi.org/10.1061/(asce)be.1943-5592.0001289CrossRef

Jaselskis EJ, Gao Z, Walters RC (2005) Improving transportation projects using laser scanning. J Constr Eng Manag 131:377–384. https://doi.org/10.1061/(ASCE)0733-9364(2005)131:3(377)CrossRef

10.

Austin R (2010) Unmanned aircraft systems: UAVs design, development and deployment. Wiley, HobokenCrossRef

11.

Kim S, Irizarry J (2019) Human performance in UAS operations in construction and infrastructure environments. J Manag Eng 35:4019026. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000715CrossRef

12.

Ham Y, Han K, Lin J, Golparvar-Fard M (2016) Visual monitoring of civil infrastructure systems via camera-equipped unmanned aerial vehicles (UAVs): a review of related works. Vis Eng 4:1–8CrossRef

13.

Frierson T (2013) Use of unmanned aerial vehicles for AHTD applications “studying visual aids to assist in corridor analysis.” Arkansas State Highway and Transportation Department

14.

Moller PS (2008) CALTRANS bridge inspection aerial robot final report. Caltrans

15.

Otero LD, Gagliardo N, Dalli D, et al (2015) Proof of concept for using unmanned aerial vehicles for high mast pole and bridge inspections

16.

Brooks C, Dobson RJ, Banach DM et al (2015) Evaluating the use of unmanned aerial vehicles for transportation purposes. Michigan Tech Research Institute, Ann Arbor

17.

Zink J, Lovelace B (2015) Unmanned aerial vehicle bridge inspection demonstration project. Minnesota Department of Transportation, Research Services & Library

18.

Judson F (2013) The Ohio department of transportation and unmanned aircraft systems. Lidar News

19.

Pekcan O, La H (Jim), Kelley R, Rapp W (2015) Development and implementation of autonomous drone technology for efficient inspection of highway bridge structures. Nevada Department of Transportation

20.

Barfuss SL, Jensen A, Clemens S (2012) Evaluation and development of unmanned aircraft (UAV) for UDOT needs. Utah State Department of Transportation

21.

Gu Y (2009) Evaluation of remote sensing aerial systems in existing transportation practices. Virginia State Department of Transportation

22.

McCormack ED, Trepanier T (2008) The Use of Small Unmanned Aircraft by the Washington State Department of Transportation. Washington State Department of Transportation

23.

Karpowicz R (2014) The use of unmanned aerial systems for steep terrain investigations. Caltrans

24.

Karan EP, Christmann C, Gheisari M et al (2014) A comprehensive matrix of unmanned aerial systems requirements for potential applications within a department of transportation. Construction Research Congress (CRC) 2014. Atlanta, GA, pp 964–973CrossRef

25.

Irizarry J, Johnson EN (2014) Feasibility study to determine the economic and operational benefits of utilizing unmanned aerial vehicles (UAVs). Georgia State Department of Transportation

26.

Gheisari M, Karan EP, Christmann HC, et al (2015) Investigating unmanned aerial system (UAS) application requirements within a department of transportation. In: Transportation Research Board (TRB) 94th Annual Meeting. Washington D.C

27.

Irizarry J, Kim S, Johnson E, Lee K (2017) Potential unmanned aerial systems based operations within a department of transportation: findings from a focus group study. In: 53rd Annual Associate School of Construction (ASC) International Conference. Seattle, WA

28.

IUASOTF (2016) UAS Recommendation Reports. Illinois Department of Transportation

29.

McGuire M, Rys M, Rys A (2016) A study of how unmanned aircraft systems can support the Kansas Department of transportation’s efforts to improve efficiency, safety, and cost reduction. Kansas State Department of Transportation

30.

NCDOT (2017) Final Report—North Carolina UAS Airspace Integration Exercise. North Carolina Department of Transportation

31.

NCDOT (2017) UAS operational procedure guide. North Carolina Department of Transportation

32.

Gebre-Egziabher D, Xing Z (2011) Analysis of unmanned aerial vehicles concpet of operations in ITS applications. University of Minnesota, Intelligent Transportation Systems Institute

33.

Liu P, Chen AY, Huang YN et al (2014) A review of rotorcraft unmanned aerial vehicle (UAV) developments and applications in civil engineering. Smart Struct Syst 13:1065–1094. https://doi.org/10.12989/sss.2014.13.6.1065CrossRef

34.

Tatum MC, Liu J (2017) Unmanned aircraft system applications in construction. Procedia Eng 196:167–175. https://doi.org/10.1016/j.proeng.2017.07.187CrossRef

35.

Greenwood WW, Lynch JP, Zekkos D (2019) Applications of UAVs in civil infrastructure. ASCE J Infrastruct Syst 25:04019002. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000464CrossRef

36.

Dorafshan S, Maguire M (2018) Bridge inspection: human performance, unmanned aerial systems and automation. J Civ Struct Heal Monit 8:443–476. https://doi.org/10.1007/s13349-018-0285-4CrossRef

37.

Duque L, Seo J, Wacker J (2018) Synthesis of unmanned aerial vehicle applications for infrastructures. J Perform Constr Facil 32:04018046. https://doi.org/10.1061/(asce)cf.1943-5509.0001185CrossRef

38.

Candamo J, Kasturi R, Goldgof D (2009) Using Color Profiles for Street Detection in Low-Altitude UAV Video. In: Proceeding of SPIE 7307, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications. pp 730700–1

39.

Hart WS, Gharaibeh N (2011) Use of micro unmanned aerial vehicles in roadside condition surveys. Transp Dev Inst Cong 2011:80–92CrossRef

40.

Saad AM, Tahar KN (2019) Identification of rut and pothole by using multirotor unmanned aerial vehicle (UAV). Meas J Int Meas Confed 137:647–654. https://doi.org/10.1016/j.measurement.2019.01.093CrossRef

41.

Zhang C, Elaksher A (2010) 3D reconstruction from UAV-acquired imagery for road surface distress assessment. In: Aars. 31st Asian Conference of Remote Sensing. Hanoi, Vietnam

42.

Zhang C (2008) An UAV-based photogrammetric mapping system for road condition assessment. Int Arch Photogramm Remote Sens Spat Inf Sci 37:627–632

43.

Gillins MN, Gillins DT, Parrish C (2016) Cost-effective bridge safety inspections using unmanned aircraft systems (UAS). Geotechnical and structural engineering congress 2016. American Society of Civil Engineers (ASCE), Phoenix, pp 1931–1940CrossRef

44.

Metni N, Hamel T (2007) A UAV for bridge inspection: visual servoing control law with orientation limits. Autom Constr 17:3–10. https://doi.org/10.1016/j.autcon.2006.12.010CrossRef

45.

Guerrero JA, Bestaoui Y (2013) UAV path planning for structure inspection in windy environments. J Intell Robot Syst 69:297–311CrossRef

46.

Hallermann N, Morgenthal G (2014) Visual inspection strategies for large bridges using unmanned aerial vehicles (UAV). In: Proceeding of 7th IABMAS, international conference on bridge maintenance, safety and management, pp 661–667

47.

Ellenberg A, Branco L, Krick A et al (2014) Use of unmanned aerial vehicle for quantitative infrastructure evaluation. J Infrastruct Syst 21:04014054. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000246CrossRef

48.

Bolourian N, Soltani MM, Albahri A, Hammad A (2017) High level framework for bridge inspection using LiDAR-equipped UAV. In: Proceedings of the 34th international symposium on automation and robotics in construction (ISARC). Taipei, Taiwan, pp 1–6

49.

Kim S, Irizarry J, Costa DB (2016) Potential factors influencing the performance of unmanned aerial system (UAS) integrated safety control for construction worksites. Construction Research Congress 2016. American Society of Civil Engineers (ASCE), San Juan, pp 2614–2623CrossRef

50.

Blinn N, Issa R (2016) Feasibility assessment of unmanned aircraft systems for construction management applications. Construction Research Congress (CRC) 2016. San Juan, Puerto Rico, pp 2593–2603CrossRef

51.

Gheisari M, Irizarry J, Walker B (2014) UAS4SAFETY: the potential of unmanned aerial systems for construction safety applications. Construction Research Congress (CRC) 2014. Atlanta, GA, pp 1801–1810CrossRef

52.

de Melo RS, Costa DB, Álvares JS, Irizarry J (2017) Applicability of unmanned aerial system (UAS) for safety inspection on construction sites. Saf Sci 98:174–185. https://doi.org/10.1016/j.ssci.2017.06.008CrossRef

53.

Gheisari M, Esmaeili B (2016) Unmanned aerial systems (UAS) for construction safety applications. Construction research congress (CRC) 2016. San Juan, Puerto Rico, pp 2642–2650CrossRef

54.

Kim S, Irizarry J, Costa DB (2020) Field test-based UAS operational procedures and considerations for construction safety management: a qualitative exploratory study. Int J Civ Eng 18:919–933. https://doi.org/10.1007/s40999-020-00512-9CrossRef

55.

Han K, Degol J, Golparvar-Fard M (2017) Geometry- and appearance-based reasoning of construction progress monitoring. J Constr Eng Manag 144:04017110. https://doi.org/10.1061/(asce)co.1943-7862.0001428CrossRef

56.

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 Informatics 29:889–901CrossRef

57.

d’Oleire-Oltmanns S, Marzolff I, Peter KD, Ries JB (2012) Unmanned aerial vehicle (UAV) for monitoring soil erosion in Morocco. Remote Sens 4:3390–3416CrossRef

58.

Siebert S, Teizer J (2014) Mobile 3D mapping for surveying earthwork projects using an unmanned aerial vehicle (UAV) system. Autom Constr 41:1–14. https://doi.org/10.1016/j.autcon.2014.01.004CrossRef

59.

Oskouie P, Becerik-Gerber B, Soibelman L (2015) A data quality-driven framework for asset condition assessment using LiDAR and image data. 2015 ASCE international workship on computing in civil engineering. Austin, TX, pp 240–248CrossRef

60.

Barua A (2013) Methods for decision-making in survey questionnaires based on Likert scale. J Asian Sci Res 3:35–38

61.

Elo S, Kääriäinen M, Kanste O et al (2014) Qualitative content analysis: a focus on trustworthiness. SAGE Open 4:2158244014522633. https://doi.org/10.1177/2158244014522633CrossRef

62.

Kim S, Irizarry J, Kanfer R (2020) Multilevel goal model for decision-making in UAS visual inspections in construction and infrastructure projects. J Manag Eng 36:4020036. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000803CrossRef

Title: Exploratory study of user-perceived effectiveness of unmanned aircraft system (UAS) integration in visual inspections of transportation agency
Authors: Sungjin Kim
Javier Irizarry
Publication date: 01-12-2020
Publisher: Springer International Publishing
Published in: Innovative Infrastructure Solutions / Issue 3/2020
Print ISSN: 2364-4176
Electronic ISSN: 2364-4184
DOI: https://doi.org/10.1007/s41062-020-00355-2

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