Automated and accurate bridge deck crack inspection and mapping.

Sheng, Weihua; Ge, Jianjun; Ley, Tyler; Emerson, Robert

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Automated and accurate bridge deck crack inspection and mapping.

2012-10-01
By Sheng, Weihua ; Ge, Jianjun ; Ley, Tyler

File Language:

English

Details

Creators:

Sheng, Weihua ; Ge, Jianjun ; Ley, Tyler ; Emerson, Robert
Corporate Creators:

Oklahoma State University. School of Electrical and Computer Engineering
Corporate Contributors:

United States. Dept. of Transportation. Research and Innovative Technology Administration
Subject/TRT Terms:
Publication/ Report Number:

OTCREOS10.1-43-F
Resource Type:

Tech Report
Geographical Coverage:

Oklahoma
Corporate Publisher:

Oklahoma Transportation Center
Abstract:

One of the important tasks for bridge maintenance is bridge deck crack inspection. Traditionally, a human inspector detects cracks using his/her eyes and finds the location of cracks manually. Thus the accuracy of the inspection result is low due to the subjective nature of human cognition. We propose a system that uses a mobile robot to conduct the crack inspection, where the robot collects bridge deck images with a video camera. In this method, the Laplacian of Gaussian algorithm is used to detect cracks and the global crack map is obtained through camera calibration and robot localization. To ensure that the robot collects all the images on the bridge deck, we develop a complete coverage path planning algorithm for the mobile robot. We compare it with other path planning strategies. Finally, we validate our proposed crack inspection system through both indoor and outdoor experiments. The proposed research can significantly improve the accuracy of bridge deck inspection in an efficient way. Timely awareness of bridge structural health can make our transportation system much safer while man power will be significantly saved.
Format:

PDF
Funding:

DTRT06-G-0016
Download URL:

https://rosap.ntl.bts.gov/view/dot/27068/dot_27068_DS1.pdf
File Type:

[PDF - 4.17 MB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha256:809bf81586ce9b12d13e6d6c4b8ec21538e651094154dbf1d50d9d14d48ccb5d

File Language:

English

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