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Jun 16, 2015
Pavement Surface Permanent Deformation Detection and Assessment Based on Digital Aerial Triangulation
Authors: Su Zhang [email protected], Susan M. Bogus [email protected], and Christopher D. Lippitt [email protected]Author Affiliations
Publication: Computing in Civil Engineering 2015
Abstract
Pavement surface distress information is essential to pavement management. Assessment of surface permanent deformation is particularly important given pavement’s ubiquitous use and that permanent deformation significantly influences its integrity and performance. However, current assessment methods are expensive, labor-intensive, time-consuming, and potentially dangerous to inspectors. Digital aerial triangulation (DAT) and unmanned airborne systems (UAS) provide a new method for detecting and assessing permanent deformation that hold potential to overcome these limitations. Using hyperspatial resolution multispectral digital aerial photography (HRM-DAP) acquired from an UAS as input, DAT was employed to generate digital surface models (DSMs) of the pavement surface. Permanent deformation distress estimates extracted from these DSMs were compared to ground reference data collected using standard protocols via orthogonal regression analysis. The results show that the aerial triangulation of HRM-DAP provides consistent and reliable data for permanent deformation detection and assessment.
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© 2015 American Society of Civil Engineers.
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Published online: Jun 16, 2015
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Ph.D. Candidate, Department of Civil Engineering, University of New Mexico, Albuquerque, NM 87131-0001. E-mail: [email protected]
Associate Professor, Department of Civil Engineering, University of New Mexico, Albuquerque, NM 87131-0001. E-mail: [email protected]
Assistant Professor, Department of Geography and Environmental Studies, University of New Mexico, Albuquerque, NM 87131-0001. E-mail: [email protected]
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