United States Department of Transportation
i
Evaluation of Pavement Performance Using Remote Sensing Techniques
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2019-02-22
[PDF-3.97 MB]
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Edition:Final Report
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Abstract:Infrastructure monitoring often requires interaction between the data collector and the traffic which leads to traffic delays as well as exposing the personnel to perilous conditions. Of late, different sensors like Light Detection and Ranging (LiDAR) and visible range cameras mounted on various platforms classified as terrestrial and aerial have been used to remotely inspect the infrastructure assets. Due to the advancement of these sensors, application of remote sensing techniques for monitoring infrastructure has gained lot of impetus in the past decade. The proposed research focused on monitoring the transportation infrastructure using terrestrial LiDAR and unmanned aerial vehicle-close range photogrammetry (UAV-CRP) technologies. The condition of the pavement infrastructure assets located in Dallas-Fort worth areas were monitored using these technologies. The soils in this area undergo swell-shrink behavior, causing premature failure of pavements resulting in several millions of dollars of expenditures annually for their rehabilitation works. The adopted procedures for the monitoring techniques and solutions can immediately benefit transportation agencies to easily obtain the valuable information in a safe manner.
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