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By John DavisPavement distresses accumulate as asphalt pavements age and traffic pounds them. If timely maintenance isn't performed, distresses are compounded. Cracks become potholes and potholes become craters. This article uses information from "MS-16 Asphalt in Pavement Preservation and Maintenance" to provide practical information …
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Traditional image processing methods have been difficult to meet the requirements of practical engineering. So, this paper proposes an improved pavement crack detection method based on deep convolution neural network model, to overcome the inaccurate segmentation caused by complex background and fuzzy crack edge in …
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Table 1 briefly describes the accomplishments and major limitations of previous research works. The hardware of early x–y table based pavement crack sealing systems was incomplete in the early stage. At the same time, the software for mapping and modeling the crack network to be sealed and path planning were not efficient in terms of …
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Road safety has always been one of the main concerns. With the development of deep learning, computer vision has begun to be used in road damage detection. It has the advantages of faster detection speed, lower cost, easier deployment, etc., which greatly reduces traffic accidents caused by the road. We design an automatic detection system …
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Section snippets History of automatic crack sealing. Many automated crack sealing systems have been developed in the last 20 years.Prominent among them are the Automated Crack Sealing Machine (ACSM) developed by the Advanced Highway Maintenance and Construction Technology (AHMCT) Research Center at the University …
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The router is used to prepare cracks by cutting a channel along the crack in a profile that allows for increased penetration and adhesion of the sealant. The router was developed …
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Expanded and applied appropriately, MixCrackNet has the potential to advance both cracks segmentation research and practical pavement management systems. CRediT authorship contribution statement Yingchao Zhang: Writing – review & editing, Writing – original draft, Visualization, Validation, Software, Methodology, …
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Crack images (2048 × 2048 256 × 256 pixel 2) were shot via an ORDRO AC7 camera at different times (i.e., AM and PM) of a day and in different weather (i.e., sunny days and cloudy days).This experiment mainly focused on common types of crack diseases. However, given the characteristics of asphalt pavement damage in the data …
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However, even though these models have been specifically designed for practical crack detection scenarios, they can only achieve the detection speed of 9.7 and 6 frames per second (FPS), respectively, which cannot meet the requirement for real-time applications. In general, there are two main difficulties for practical crack detection applications.
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This study constructs an automatic model for detecting and classifying asphalt pavement crack. Image processing techniques including steerable filters, projective integral of image, and an enhanced method for image thresholding are employed for feature extraction. Different scenarios of feature selection have been attempted to create data …
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1. Cut slots using a diamond-bladed slot cutting machine unless the pavement is to have a bonded concrete overlay, in which case a carbide milled slot is acceptable. 2. Remove …
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Thanks to the development of deep learning, the use of data-driven methods to detect pavement distresses has become an active research field. This research makes four contributions to address the problem of efficiently detecting cracks and sealed cracks in asphalt pavements. First, a dataset of pavement cracks and sealed cracks is …
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In this paper, we propose CrackGAN for pavement crack detection with the following contributions: (1) it solves a practical and essential problem,"All Black" issue, existing in …
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The application of machine learning techniques in pavement health monitoring based on computer vision has greatly improved the accuracy and efficiency in the detection of pavement distress levels and categories. However, a persistent challenge in this field is the issue of sample imbalance, primarily arising from the scarcity of …
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Semantic Scholar extracted view of "Chronological development history of X–Y table based pavement crack sealers and research findings for practical use in the field" by Y. S. Kim et al. ... Development of an Automated Pavement Crack Sealing Machine and Its Economic Feasibility Analysis. Jeong-ho Lee Junbok Lee Hyemi Jeong …
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Pavement crack detection algorithm based on pixel segmentation is mainly based on extracting the features of crack pixels from global images. It means that the crack region can be segmented from the background image of the road surface by different features. ... In order to categorise the crack types in this paper, a machine learning …
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This paper discusses a machine vision system that is used to find pavement cracks for a robotic crack sealing machine. The system includes a high-resolution digital camera which captures live or ...
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An automated crack sealing machine (ACSM) prototype has been developed to in order to: 1) minimise the exposure of workers to the dangers associated with working on a major highway; 2) considerably increase the speed of the operation; and 3) improve the quality and consistency of the resultant seal. Increasing the speed of the operation …
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If untreated, asphalt cracks can lead to potholes. That's why it's also important to have an excellent commercial quality asphalt crack filler on hand, along with asphalt cold patch. The product is easy to use and …
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This paper discusses a machine vision system that is used to find pavement cracks for a robotic crack sealing machine. The system includes a high-resolution digital camera which captures live or still images of the robot's 3.7 m by 4.3 m (12 ft by 14 ft) workspace. The live images are used for overall crack searching, whereas the higher ...
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Pavement defects such as cracks, net cracks, and pit slots can cause potential traffic safety problems. The timely detection and identification play a key role in reducing the harm of various pavement defects. Particularly, the recent development in deep learning (DL)-based convolution neural networks (CNNs) has shown competitive …
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With the advantages of smooth wear resistance (Zhou et al., 2018), noise reduction (Ling et al., 2021), skid resistance (Kogbara et al., 2016), and comfortable driving, asphalt mixture (Cheng et al., 2021a, 2021b) is usually used in high-grade pavement.However, some pavement distresses such as cracks, potholes, and rutting …
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As pavement cracking is the most common distress type, several efforts have been made with specific regard to crack detection and assessment, in particular real-time crack analysis [28,59], crack ...
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1. Introduction. Every nation's economy is significantly impacted by its transportation network, which is a priceless national asset [1].To maintain a sufficient level of service, this asset needs periodic maintenance as it deteriorates over time [2].If not, it imposes significant expenses on road agencies and users [3].Therefore, to stop …
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Pavement defects such as cracks, net cracks, and pit slots can cause potential traffic safety problems. The timely detection and identification play a key role in reducing the harm of various pavement defects. Particularly, the recent development in deep learning (DL)-based convolution neural networks (CNNs) has shown competitive performance in …
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The numbers 80, 40, and 20 represent the division of the pavement cracks image into grids of 80 × 80, 40 × 40, and 20 × 20 feature points, respectively. At this resolution, if a specific feature point aligns with a target object's corresponding box, it is utilized to predict the target pavement crack. 2.2.
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Some research works have been done in detecting cracks and potholes on asphalt roads Sato 1992, 1993;Tsao et al. 1994; Kim and Haas 2002; Koch and Brilakis 2011;Koch, Jog, and Brilakis 2013 ...
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4-5 Router Head and Machine 4-6 Pavement Sweeping 4-7 Compressed Air Cleaning of Crack 4-8 Crack Vacuum 4-9 Hot Air Lances 4-10 SealMaster Melter 4-11 Marathon Melter ... Treating cracks in asphalt pavements is a major part of every maintenance engineer's work. The objective of any crack treatment is to minimize the
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There are two stitching methods used to repair and strengthen cracks or joints in concrete pavement. The first, and most common, is cross-stitch-ing. Cross-stitching uses …
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This study establishes an intelligent approach for automatic recognition of pavement crack recognition that is compatible with EMMARM, and shows real-time and accurate detection of asphalt pavement crack. ... Image Processing-Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee …
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