Small Uncrewed Aircraft Systems-Based Orthophoto and Digital Elevation Model Creation and Accuracy Evaluation for Airfield Portland Cement Concrete Pavement Distress Detection and Rating
Publication: International Conference on Transportation and Development 2022
ABSTRACT
Early detection and repair of airfield pavement distresses are essential aspects of preserving airport pavements for the full spans of their design periods and maintaining their structural integrity, ride quality, and safety. In recent years, various studies have been conducted for pavement distress detection and mapping using alternate data collection methodologies, including small uncrewed aerial systems (sUAS). This study evaluates the usefulness of red-green-blue (RGB) orthophoto and digital elevation models (DEMs) generated from sUAS data in detecting various airfield Portland cement concrete (PCC) pavement distress. Fourteen airfield PCC pavement distresses with different severities were studied using RGB orthophotos with resolutions ranging from 0.8 mm/pixel to 21 mm/pixel and DEM resolutions ranging from 3.0 mm/pixel to 84 mm/pixel. The analysis showed that the RGB optical orthophotos and DEM were useful for detecting 13 out of 14 PCC pavement distresses and confirmation of the location of 11 out of 14 distresses, respectively.
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REFERENCES
Airsight. (2020). “Airfield pavement inspections using drones.” <https://www.airsight.de/projects/item/airfield-pavement-inspections-using-drones/>(Jan. 2, 2021).
ASTM International. (2020). D5340-20 Standard Test Method for Airport Pavement Condition Index Surveys. American Society for Testing and Materials, West Conshohocken, PA.
Banks, E., Cook, S. J., Fredrick, G., Gill, S., Gray, J., Larue, T., Milton, J., Tootle, A., and Wheeler, P. (2018). Successful Approaches for the Use of Unmanned Aerial System by Surface Transportation Agencies. Washington D.C.
De Blasiis, M. R., Benedetto, A. D., Fiani, M., and Garozzo, M. (2019). “Assessing the effect of pavement distresses by means of LiDAR technology.” Computing in civil engineering 2019: Smart cities, sustainability, and resilience, American Society of Civil Engineers Reston, VA, 146–153.
Booz Allen Hamilton Inc. (2019). Airports and Unmanned Aircraft Systems, Volume 3: Potential Use of UAS by Airport Operators. Airports and Unmanned Aircraft Systems, Volume 3: Potential Use of UAS by Airport Operators, National Academies of Sciences, Engineering, and Medicine, Washington D.C.
FAA (Federal Aviation Administration). (2014). Guidelines and Procedures for Maintenance of Airport Pavements., US Dept. of Transportation.
Mustaffar, M., Ling, T. C., and Puan, O. C. (2008). “Automated pavement imaging program (APIP) for pavement cracks classification and quantification-a photogrammetric approach.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Citeseer, 37(B4), 367–372.
Pietruszewski, P., Poświata, A., and Wesołowski, M. (2018). “Evaluation of airfield pavement evenness.” IOP Conference Series: Materials Science and Engineering, IOP Publishing, 12003.
USDOT and FAA (USDOT and Federal Aviation Administration). (2014). AC 150/5380-6C, Guidelines and Procedures for Maintenance of Airport Pavements Change. Washington D.C.
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International Conference on Transportation and Development 2022
Pages: 168 - 180
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Published online: Aug 31, 2022
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