Unmanned Aerial Vehicle Based Pavement Crack Identification Method Integrated with Geographic Information Systems

Date

2017-01-12

Author

Ersöz, Ahmet Bahaddin
Pekcan, Onur

Metadata

Show full item record

Item Usage Stats

241
views

0
downloads

Building of an efficient pavement crack identification system is the challenge of developing a modern pavement management system (PMS). The aim of a PMS is to have autonomous inspections that work fast, accurate and robust when inspecting the in-service pavements compared to currently used ones which are labor intensive, biased and time consuming. Recently, the use of unmanned aerial vehicles (UAVs) increased in monitoring of civil infrastructures. In this study, UAVs were used to capture images of the pavement surface, from which pavement cracks were identified using certain features and a machine learning algorithm called Support Vector Machines (SVM). Preliminary operations were performed to make the images uniformly illuminated and noise free for segmentation. Comparatively darker features were obtained using automated thresholding algorithm. Image operations yield regions for potential cracks, categorized into four classes: transverse, longitudinal, alligator and non-crack. Crack candidate regions are classified according to their features using a SVM model. Geographic Information System (GIS) integration fulfills the last step of the proposed system by positioning classified crack images into Google Maps. A case study was performed to measure the performance of the method where 181 images were taken along a highly damaged pavement. The prediction results were quite successful. This system has a few benefits such as being cheap and computationally efficient when identifying multiple cracks in one image. Further work is on its way for identification of other types of distresses or implementing other tools into the system such as UAV mounted laser scanners.

URI

https://trid.trb.org/view.aspx?id=1438958
https://hdl.handle.net/11511/75011

Conference Name

Transportation Research Board 96th Annual Meeting, (8 - 12 Ocak 2017)

Collections

Department of Civil Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Development of UAV-based pavement crack identification system using artificial intelligence Ersöz, Ahmet Bahaddin; Pekcan, Onur; Department of Civil Engineering (2016) Building an accurate, robust and timely working Pavement Crack Identification System (PCIS) is one of the challenging components of Pavement Management Systems (PMSs). The ultimate aim of PCIS is to have autonomous inspection methods integrated into PMS. This way a modern PCIS may replace the currently used methods to eliminate their shortcomings such as being labor intensive, biased and time consuming. With the recent introduction of Unmanned Aerial Vehicles (UAVs), engineering research studies are incline...
Lean project management using unmanned aerial vehicles Ersöz, Ahmet Bahaddin; Pekcan, Onur; Tokdemir, Onur Behzat (null; 2018-11-18) Development of a lean and automated progress tracking system is one of the most challenging subjects in the construction industry. Since the current methods depend on individual and manual inspections of the site, they may have various problems. For instance, results include a natural bias since field personnel makes interpretations depending on their educational and expertise level. From the practical point of view, manual data collection and their comparison with construction drawings and schedules are in...
TEXTURE CHARACTERIZATION OF ROLLER COMPACTED CONCRETE PAVEMENTS BY AN IN-HOUSE DEVELOPED OPTICAL SURFACE PROFILER MAHYAR, MAHDİ; Yaman, İsmail Özgür; Aleessa Alam, Burhan; Department of Civil Engineering (2021-2-15) The use of concrete instead of traditional asphalt in road construction has been a challenge in the last century for road owners looking for a safe and sustainable solution. Very heavy expenditures of asphalt pavement rehabilitation during its lifetime, have made concrete the best choice for substitution. However, it is generally accepted that the initial construction costs of conventional concrete pavements are high. In concrete pavement construction, a competitive method for decreasing initial cost of con...
A BMS development project with an integrated inspection program Akgül, Ferhat (2012-07-12) A bridge management system is being developed together with an integrated inspection program. A pilot bridge group consisting of 200 bridges is selected for inspections which are located along the state and provincial roads in Turkey. In addition to visual inspections of the pilot bridges, detailed inspections for 10 deteriorated bridges will also be performed. Detailed inspections will be performed using non-destructive testing equipments. Visual inspections for the pilot bridge group have already been com...
Public transport improvement policies : assessment of the role of route and fare integration, modal reorganization with special emphasis to İzmir case Öncü, Mevlüde Ayça; Babalık, Ela; Department of Urban Policy Planning and Local Governments (2007) Public transport improvement and new public transport management approaches are accepted as the most effective tools in order to cope with the urban transportation problem threatening sustainable urban life and efficient functioning of urban areas. The need for new solutions to replace, or support, costly new capacities created two new concepts at the two ends of the transportation phenomenon; Travel Demand Management (TDM) on the demand side and Transportation System Management (TSM) at the supply side. Th...

Citation Formats

A. B. Ersöz and O. Pekcan, “Unmanned Aerial Vehicle Based Pavement Crack Identification Method Integrated with Geographic Information Systems,” presented at the Transportation Research Board 96th Annual Meeting, (8 - 12 Ocak 2017), Washington, DC. USA, 2017, Accessed: 00, 2021. [Online]. Available: https://trid.trb.org/view.aspx?id=1438958.