ADVANCED CONSIDERATIONS IN LIDAR TECHNOLOGY: APPLICATION ENHANCEMENT, INSPECTION WORKFLOW IMPLEMENTATION AND DATA COLLECTION QUALITY MANAGEMENT

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Bian, H. (2012). ADVANCED CONSIDERATIONS IN LIDAR TECHNOLOGY: APPLICATION ENHANCEMENT, INSPECTION WORKFLOW IMPLEMENTATION AND DATA COLLECTION QUALITY MANAGEMENT. Unc Charlotte Electronic Theses And Dissertations.
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Author

Bian, Haitao

Title

ADVANCED CONSIDERATIONS IN LIDAR TECHNOLOGY: APPLICATION ENHANCEMENT, INSPECTION WORKFLOW IMPLEMENTATION AND DATA COLLECTION QUALITY MANAGEMENT

Physical Description

1 online resource (113 pages) : PDF

Date

2012

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Bridge inspection is a critical topic in infrastructure management and is facing unprecedented challenges as the public is concerned more about bridge safety after a series of bridge failures. LiDAR based remote sensing is recommended as a way in supplementing the prevailing visual inspection to quantify critical bridge information. In this research, focus will be placed on the advanced considerations of LiDAR technology in bridge inspection, including the application evaluation, inspection workflow implementation, and data collection quality management. Particularly, efforts on improving the computational performance of the original damage detection algorithm have been carried out and the use of reflectivity data is introduced as a new feature to enhance the algorithm`s capability in defect recognition. The specific applications that using LiDAR technology to evaluate bridge deck joint and monitoring simulated slope erosion have been studied. This research further studied the inspection workflow implementation and the sources of errors in the LiDAR bridge inspection. Quality management has also been considered to improve the bridge inspection data quality besides the development of advanced inspection technology. In the end, cost-benefit analysis is conducted to determine the savings for implementing LiDAR technology into bridge inspection workflow.

Genre

doctoral dissertations

Subjects--Topics

Civil engineering

Degree

Ph.D.

Subject Area

Infrastructure & Environmental Systems

Advisor(s)

Chen, Shen-En

Committee Members

Chen, Shen-En
Hauser, Edd
Kane, Martin
Sireli, Yesim
Chen, Don

Degree Note

Thesis (Ph.D.)--University of North Carolina at Charlotte, 2012.

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Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Bian_uncc_0694D_10403

Permalink

http://hdl.handle.net/20.500.13093/etd:662