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    3D Dense Reconstruction for Structural Defect Quantification 

    Source: ASCE OPEN: Multidisciplinary Journal of Civil Engineering:;2024:;Volume ( 002 ):;issue: 00:;page 04024001-1
    Author(s): Rishabh Bajaj; Zaid Abbas Al-Sabbag; Chul Min Yeum; Sriram Narasimhan
    Publisher: ASCE
    Abstract: Recent advancements in vision-based visual inspection enable the identification, localization, and quantification of damage on structures. However, existing damage quantification methods are limited to measuring one- or ...
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    Automated Recovery of Structural Drawing Images Collected from Postdisaster Reconnaissance 

    Source: Journal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 001
    Author(s): Chul Min Yeum; Alana Lund; Shirley J. Dyke; Julio Ramirez
    Publisher: American Society of Civil Engineers
    Abstract: A large volume of images is collected during postdisaster building reconnaissance. For both older and new buildings, the structural drawings are an essential record of the structural information needed to extract valuable ...
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    Postevent Reconnaissance Image Documentation Using Automated Classification 

    Source: Journal of Performance of Constructed Facilities:;2019:;Volume ( 033 ):;issue: 001
    Author(s): Chul Min Yeum; Shirley J. Dyke; Bedrich Benes; Thomas Hacker; Julio Ramirez; Alana Lund; Santiago Pujol
    Publisher: American Society of Civil Engineers
    Abstract: Reconnaissance teams are charged with collecting perishable data after a natural disaster. In the field, these engineers typically record their observations through images. Each team takes many views of both exterior and ...
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    Multioutput Image Classification to Support Postearthquake Reconnaissance 

    Source: Journal of Performance of Constructed Facilities:;2022:;Volume ( 036 ):;issue: 006:;page 04022063
    Author(s): Ju An Park; Xiaoyu Liu; Chul Min Yeum; Shirley J. Dyke; Max Midwinter; Jongseong Choi; Zhiwei Chu; Thomas Hacker; Bedrich Benes
    Publisher: ASCE
    Abstract: After hazard events, large numbers of images are collected by reconnaissance teams to document the post-event state of structures, and to assess their performance and improve design procedures and codes. The majority of ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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