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Advances in Civil Engineering
Volume 2014, Article ID 483729, 14 pages
Research Article

Mobile Imaging and Computing for Intelligent Structural Damage Inspection

1Department of Civil and Mechanical Engineering, University of Missouri-Kansas City, 5100 Rockhill Street, Kansas City, MO 64110, USA
2Department of Computer Science Electrical Engineering, University of Missouri-Kansas City, 5100 Rockhill Street, Kansas City, MO 64110, USA

Received 7 February 2014; Revised 10 July 2014; Accepted 27 August 2014; Published 1 October 2014

Academic Editor: Ren-Jye Dzeng

Copyright © 2014 ZhiQiang Chen and Jianfei Chen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Optical imaging is a commonly used technique in civil engineering for aiding the archival of damage scenes and more recently for image analysis-based damage quantification. However, the limitations are evident when applying optical imaging in the field. The most significant one is the lacking of computing and processing capability in the real time. The advancement of mobile imaging and computing technologies provides a promising opportunity to change this norm. This paper first provides a timely introduction of the state-of-the-art mobile imaging and computing technologies for the purpose of engineering application development. Further we propose a mobile imaging and computing (MIC) framework for conducting intelligent condition assessment for constructed objects, which features in situ imaging and real-time damage analysis. This framework synthesizes advanced mobile technologies with three innovative features: (i) context-enabled image collection, (ii) interactive image preprocessing, and (iii) real-time image analysis and analytics. Through performance evaluation and field experiments, this paper demonstrates the feasibility and efficiency of the proposed framework.