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• W3001600474 abstract "Hot Mixed Asphalt (HMA) is one of the most used materials in road construction. Toreceive a longer lifespan of asphalt and lower maintenance cost, quality control duringasphalt paving is crucial. The temperature of the asphalt mixture is considered a key factorthat impacts the final performance of the pavement. The temperature of the asphalt mix ischanging continuously during the compaction. If the asphalt is not compacted within asuitable temperature window, it will reduce cracking toughness and raise the chances ofcrack propagation. Researchers are currently using thermal sensors to monitor thetemperature both in paving and compaction process. Also, Global Positioning Systems(GPS) is used to monitor the movement of road construction equipment (i.e., pavers androllers). In these systems, the geo-referenced temperature data are displayed to operators,so that they can develop their strategies during the paving process. However, the currentmonitoring system has several limitations: (1) the system requires a high initial investment,(2) instruments need to be mounted on every machine, setup and adjustment of theseinstruments are time-consuming, and (3) high density of buildings and tall trees disturb oreven block GPS signals in some construction environments. On the other hand, UnmannedAerial Vehicles (UAVs) offer a potential solution to the three limitations. UAVs arebecoming increasingly more mature and available and they started to be used in the civilengineering industry as a data acquisition platform and an instrument for surveyingpurposes. This research aims to investigate the applicability of UAV-based monitoringsystems for paving operations. To this end, a UAV-based method for monitoring themovement of the paving machinery during road construction is developed. In this method,markers are placed on (1) static known locations on the site, and (2) moving equipment.Computer vision and photogrammetry methods are used to localize moving equipment ineach frame of the video based on location of known markers. The performance of theproposed method is tested in several case studies. The UAV based solution is found to bea promising method for tracking road construction machinery. The solution can reduceinitial investment and at the same time ensure adequate accuracy of tracking targets. Inaddition, UAVs allow adding or replacing several components based on demand. Forexample, onboard computer for real-time data processing and thermal camera fortemperature monitoring. Thus, the UAV based solution can be extended to both monitorpaving operations and temperature during road construction in the future." @default.
• W3001600474 created "2020-01-30" @default.
• W3001600474 creator A5050158111 @default.
• W3001600474 date "2019-01-01" @default.
• W3001600474 modified "2023-09-26" @default.
• W3001600474 title "A new method for monitoring machinery movement using an Unmanned Aerial Vehicle (UAV) system" @default.
• W3001600474 hasPublicationYear "2019" @default.
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