Assessment of Pavement Geometric Characteristics Using UAV-CRP Data
In the USA, the infrastructure is aging rapidly due to a combination of factors including loading, materials, weather, and other environmental conditions. This is evident from ASCE’s recent report card on the infrastructure condition. Roads, which form the backbone of the infrastructure and provide connectivity to remote areas, were graded “D” overall. The current situation necessitates the selection and adoption of proper pavement management practices and related data collection tools to support proactive monitoring that can help in preventive maintenance. In recent times, there has been a rise in holistically analyzing and visualizing transportation infrastructure assets using intuitive models. These are being accomplished using unmanned aerial vehicle (UAV) platforms mounted with various compact sensors like visible, infrared, multi-spectral, and hyperspectral cameras; and LiDAR. Over a period, the initial geometric design conditions deteriorate and further lead to distresses on the pavement. In this study, close-range photogrammetry, accomplished using a visible camera mounted on a UAV, is used to study geometrical features and assessments of the pavement condition. The collected aerial images are processed to build three-dimensional (3D) models for assessing the current condition of the design features of pavements including longitudinal and lateral slope information. One of the key benefits of this approach is the facility it provides to analyze a single 3D model for different pavement attributes. This technology is expected to complement the existing traditional monitoring methods and quickly identify problematic sections of pavements for future repairs.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784483534
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Supplemental Notes:
- © 2021 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Congress, Surya Sarat Chandra
- Puppala, Anand J
- Kumar, Prince
- Patil, Ujwalkumar D
- Publication Date: 2021
Language
- English
Media Info
- Pagination: pp 332 - 343
- Monograph Title: International Conference on Transportation and Development 2021: Transportation Operations, Technologies, and Safety
Subject/Index Terms
- TRT Terms: Aging (Materials); Condition surveys; Deterioration; Drones; Geometric elements; Infrastructure; Laser radar; Mathematical models; Pavement management systems; Pavement performance; Preventive maintenance; Sensors
- Geographic Terms: United States
- Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Pavements; Vehicles and Equipment;
Filing Info
- Accession Number: 01777556
- Record Type: Publication
- ISBN: 9780784483534
- Files: TRIS, ASCE
- Created Date: Jul 23 2021 3:26PM