UAS Image-Based Point Clouds to 3D Brim: 3D As-Is Bridge Model Generation [supporting datasets]

Turkan, Yelda; Xu, Yiye; Pacific Northwest Transportation Consortium (PacTrans) (UTC); University Transportation Center for Federal Region 10; University of Washington; Oregon State University. School of Civil and Construction Engineering

doi:10.7910/DVN/VLABDW

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UAS Image-Based Point Clouds to 3D Brim: 3D As-Is Bridge Model Generation [supporting datasets]

[PDF-167.71 KB]

English

Details Supporting Files Publications Related Documents You May Also Like

Details:

Alternative Title:

UAS images and generated point-cloud model of a concrete bridge in Corvallis, OR
Creators:

Turkan, Yelda ; Xu, Yiye

Turkan, Yelda ; Xu, Yiye Less -
Corporate Creators:

Pacific Northwest Transportation Consortium (PacTrans) (UTC) ; University Transportation Center for Federal Region 10 ; University of Washington ; Oregon State University. School of Civil and Construction Engineering

Pacific Northwest Transportation Consortium (PacTrans) (UTC) ; University Transportation Center for Federal Region 10 ; University of Washington ; Oregon State University. School of Civil and Construction Engineering Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Bridges Data Collection Drones Inspection Maintenance Management
DOI:

https://doi.org/10.7910/DVN/VLABDW
Resource Type:

Dataset
Geographical Coverage:

United States
Corporate Publisher:

Pacific Northwest Transportation Consortium (PacTrans) (UTC)
Abstract:

U.S. economic growth, as well as the mobility of people and goods across the country, are largely dependent on the health of the country’s transportation systems. Unfortunately, the U.S. infrastructure is aging and has been poorly maintained for decades. Bridge Information Models (BrIM) are seen as an effective method to improve the efficiency of current bridge inspection and management practices. However, the creation of such a model remains a manual process. Because there are a large number of bridges in the U.S., manually creating BrIMs would be time-consuming, labor-intensive, and expensive. Therefore, a new framework was proposed in this study to speed the creation of BrIMs. The proposed framework was implemented on an existing bridge. The illustrative case study provides a detailed explanation of unmanned aerial system imaging, point cloud generation, and BrIM creation and placement on the basis of the generated point-cloud model. The the case study demonstrated the feasibility of rapidly generating BrIMs using the proposed framework. The proposed framework showed potential to address some of the problems associated with the current BrIM generation process in terms of cost-efficiency and effectiveness.
Format:

ZIP
Funding:

69A3551747110
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:0ce10a75794ad2d7d9fd69dc20471dc04366942d5e9699d58a84ab63cfe1964a
Download URL:

https://rosap.ntl.bts.gov/view/dot/62274/dot_62274_DS1.pdf
File Type:

UAS Image-Based Point Clouds to 3D Brim

json

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