Mobile Imaging and Computing for Intelligent Structural Damage Inspection
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 com...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2014/483729 |
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| _version_ | 1849387238788431872 |
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| author | ZhiQiang Chen Jianfei Chen |
| author_facet | ZhiQiang Chen Jianfei Chen |
| author_sort | ZhiQiang Chen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2d2d489cb2004e5796a87dc93c8b715f |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-2d2d489cb2004e5796a87dc93c8b715f2025-08-20T03:55:17ZengWileyAdvances in Civil Engineering1687-80861687-80942014-01-01201410.1155/2014/483729483729Mobile Imaging and Computing for Intelligent Structural Damage InspectionZhiQiang Chen0Jianfei Chen1Department of Civil and Mechanical Engineering, University of Missouri-Kansas City, 5100 Rockhill Street, Kansas City, MO 64110, USADepartment of Computer Science Electrical Engineering, University of Missouri-Kansas City, 5100 Rockhill Street, Kansas City, MO 64110, USAOptical 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.http://dx.doi.org/10.1155/2014/483729 |
| spellingShingle | ZhiQiang Chen Jianfei Chen Mobile Imaging and Computing for Intelligent Structural Damage Inspection Advances in Civil Engineering |
| title | Mobile Imaging and Computing for Intelligent Structural Damage Inspection |
| title_full | Mobile Imaging and Computing for Intelligent Structural Damage Inspection |
| title_fullStr | Mobile Imaging and Computing for Intelligent Structural Damage Inspection |
| title_full_unstemmed | Mobile Imaging and Computing for Intelligent Structural Damage Inspection |
| title_short | Mobile Imaging and Computing for Intelligent Structural Damage Inspection |
| title_sort | mobile imaging and computing for intelligent structural damage inspection |
| url | http://dx.doi.org/10.1155/2014/483729 |
| work_keys_str_mv | AT zhiqiangchen mobileimagingandcomputingforintelligentstructuraldamageinspection AT jianfeichen mobileimagingandcomputingforintelligentstructuraldamageinspection |