Synthesis of Unmanned Aerial Vehicle Applications for InfrastructuresSource: Journal of Performance of Constructed Facilities:;2018:;Volume ( 032 ):;issue: 004DOI: 10.1061/(ASCE)CF.1943-5509.0001185Publisher: American Society of Civil Engineers
Abstract: This paper is intended to provide the state-of-the-art and of-the-practice on visual inspection, monitoring, and analysis of infrastructure using unmanned aerial vehicles (UAVs). Several researchers have inspected various civil infrastructures, including bridges, buildings, and other structures, by capturing close-up images or recording videos, while operating UAVs. Various image analysis tools, such as the algorithm Morphological Link for Crack (Morpholink-C), were able to conduct precise measurements of crack thickness and length. Corrosion has also been detected using texture and color algorithms to investigate UAV-based images. Other analysis methods include structurally integrated sensors, such as digital image correlation equipment, which have helped to capture structural behaviors using UAVs. After the literature review was completed, a nationwide survey was distributed to Departments of Transportation (DOTs) to evaluate the current UAV-enabled inspection techniques that different DOTs have used or are planning to use for visual damage assessment for critical transportation infrastructures, especially bridges. Furthermore, a pertinent UAV selection was completed to indicate suitable UAVs for bridge inspection. Primary findings have shown that UAV-enabled infrastructure inspection techniques have been successfully developed to detect a broad variety of damage (including cracks and corrosions), and a few DOTs have used UAVs to inspect bridges as a more economical and versatile tool.
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| contributor author | Duque Luis;Seo Junwon;Wacker James | |
| date accessioned | 2019-02-26T07:39:03Z | |
| date available | 2019-02-26T07:39:03Z | |
| date issued | 2018 | |
| identifier other | %28ASCE%29CF.1943-5509.0001185.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4248505 | |
| description abstract | This paper is intended to provide the state-of-the-art and of-the-practice on visual inspection, monitoring, and analysis of infrastructure using unmanned aerial vehicles (UAVs). Several researchers have inspected various civil infrastructures, including bridges, buildings, and other structures, by capturing close-up images or recording videos, while operating UAVs. Various image analysis tools, such as the algorithm Morphological Link for Crack (Morpholink-C), were able to conduct precise measurements of crack thickness and length. Corrosion has also been detected using texture and color algorithms to investigate UAV-based images. Other analysis methods include structurally integrated sensors, such as digital image correlation equipment, which have helped to capture structural behaviors using UAVs. After the literature review was completed, a nationwide survey was distributed to Departments of Transportation (DOTs) to evaluate the current UAV-enabled inspection techniques that different DOTs have used or are planning to use for visual damage assessment for critical transportation infrastructures, especially bridges. Furthermore, a pertinent UAV selection was completed to indicate suitable UAVs for bridge inspection. Primary findings have shown that UAV-enabled infrastructure inspection techniques have been successfully developed to detect a broad variety of damage (including cracks and corrosions), and a few DOTs have used UAVs to inspect bridges as a more economical and versatile tool. | |
| publisher | American Society of Civil Engineers | |
| title | Synthesis of Unmanned Aerial Vehicle Applications for Infrastructures | |
| type | Journal Paper | |
| journal volume | 32 | |
| journal issue | 4 | |
| journal title | Journal of Performance of Constructed Facilities | |
| identifier doi | 10.1061/(ASCE)CF.1943-5509.0001185 | |
| page | 4018046 | |
| tree | Journal of Performance of Constructed Facilities:;2018:;Volume ( 032 ):;issue: 004 | |
| contenttype | Fulltext |