Auto inspection system using a mobile robot for detecting concrete cracks in a tunnel

Yu, Seung-Nam; Jang, Jae-Ho; Han, Chang-Soo

doi:10.1016/j.autcon.2006.05.003

Cited by 307 publications

(141 citation statements)

References 7 publications

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“…A bridge inspection system that includes a specially designed car with a robotic mechanism and a control system for automatic crack detection is reported in [11], [12], [17]. Similar systems are reported in [13]- [15] for vision-based automatic crack detection and mapping and [24] to detect cracks on the bridge deck and tunnel. Edge/crack detection algorithms such as Sobel and Laplacian operators are used.…”

Section: Introductionmentioning

confidence: 90%

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Visual and Acoustic Data Analysis for the Bridge Deck Inspection Robotic System

La¹,

Gucunski

Kee

et al. 2014

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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-Bridge deck inspection is essential task to monitor the health of the bridges. This paper reports the data collection and analysis for bridge decks based on our novel robotic system which can autonomously and accurately navigate on the bridge. The developed robotic system can lessen the cost and time of the bridge deck data collection and risks of human inspections. The advanced software is developed to allow the robot to collect visual images and conduct nondestructive evaluation (NDE) measurements. The image stitching algorithm to build a whole bridge image from individual images is presented in detail. The impact-echo (IE) and ultrasonic surface waves (USW) data collected by the robot are analyzed to generate the delamination and concrete elastic modulus maps of the deck.

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Section: Introductionmentioning

confidence: 90%

“…Mobile robotic inspection and maintenance systems are developed for vision based crack detection and maintenance of highways and tunnels [18], [19], [23]. A robotic system for underwater inspection of bridge piers is reported in [3].…”

Section: Introductionmentioning

confidence: 99%

Visual and Acoustic Data Analysis for the Bridge Deck Inspection Robotic System

La¹,

Gucunski

Kee

et al. 2014

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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show abstract

“…Principal Component Analysis (PCA)-based algorithm coupled with linear structure modeling was proposed to detect cracks with linear structure in concrete bridge decks with the best detection accuracy of 73% [2]. For detecting concrete cracks in tunnel, a mobile robot system was built to acquire image data with a Charged Couple Device (CCD) camera [3]. Nevertheless, the mobile robot system was only validated in indoor experimental settings, so further research is encouraged.…”

Section: Introductionmentioning

confidence: 99%

Application of Computer Vision to Crack Detection of Concrete Structure

Su¹

2013

IJET

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Abstract-Most important civil infrastructures are made of concrete, so accurate information by routine inspection is necessary for structure maintenance. Sometimes temporarily erected scaffoldings are needed for infrastructure inspections. Bridge inspection for example, the inspectors must stand on the platform to examine the underside of a bridge, but such a procedure is risky. At present, several inspection systems coupled with Charge Coupled Devices (CCD) cameras have been developed and applied to infrastructure inspections in order to reduce the danger of accidents to the human inspectors. This paper proposes a computer vision technique based on CCD images to attempt to automatically detect cracks in concrete structure. The experimental result indicates that the optimal accuracies of 90% and 84% could be achieved for the training and testing samples, respectively.

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“…Based on study of different methods used for inspection and detection of crack author have suggested image processing technique is well suited for crack detection. [2] Author has proposed a system which can detect cracks in tunnel using a mobile robot employing an illuminator. System was limited by automation in an unpredictable environment therefore they have used semi-automated algorithms.…”

Section: Related Workmentioning

confidence: 99%

Autonomous Robot for Crack Detection and Mapping for Bridge Surface

Salman¹

2015

IJIRCCE

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ABSTRACT:Aim of this project is to inspect and detect the cracks on the bridge surface using of autonomous robot which is equipped with android phone having high resolution camera used to transmit the images wirelessly to the laptop through local host WAMP-Server. The main purpose of this research is to create 2-dimension crack map of the inspected area. For crack detection and Mapping, MATLAB tool is utilized. Image processing is being used as the technique to detect cracks. Edge detection algorithm is used in image processing technique where different preprocessing of image is done and morphological operations are performed to detect cracks. We have used prewitt operator for edge detection along with median filter. We can control motion of mobile robot via control panel is developed in MATLAB. Prior to this Android APK is developed and installed on phone which capture images and sends via WAMP-Server to the laptop where images are received and processed in MATLAB. Finally we have trying to create two dimensional map of crack detected image which will be very helpful to engineers who inspect and points cracks on bridge manually, locating position of crack.

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Auto inspection system using a mobile robot for detecting concrete cracks in a tunnel

Cited by 307 publications

References 7 publications

Visual and Acoustic Data Analysis for the Bridge Deck Inspection Robotic System

Visual and Acoustic Data Analysis for the Bridge Deck Inspection Robotic System

Application of Computer Vision to Crack Detection of Concrete Structure

Autonomous Robot for Crack Detection and Mapping for Bridge Surface

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