Investigation of UAS Platform and Personnel Development and Preparation through Lab and Site Testing

Almasi, Pouya; Zhang, Qianyun; Zhang, Su

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Investigation of UAS Platform and Personnel Development and Preparation through Lab and Site Testing

2024-12-01
By Almasi, Pouya ; Zhang, Qianyun ; Zhang, Su

File Language:

English

Details

Creators:

Almasi, Pouya ; Zhang, Qianyun ; Zhang, Su
Corporate Creators:

New Mexico State University. Department of Civil Engineering
Corporate Contributors:

New Mexico. Department of Transportation. Research Bureau
Subject/TRT Terms:
Publication/ Report Number:

R923070
Resource Type:

Tech Report
Geographical Coverage:

New Mexico ; United States
Edition:

Final Report
Corporate Publisher:

New Mexico. Department of Transportation. Research Bureau
Abstract:

We propose a pilot program to initialize the UAS-based bridge inspection program in component level to enhance the bridge inspection practice in New Mexico State. In the proposed program, UAS-based bridge inspection strategies, data interpretation frameworks, and implementation software for individual NBI classified bridge components will be developed. Advanced UAS platforms and high-resolution sensors will be utilized for automated data capturing. Novel image processing and machine learning algorithms will be investigated to interpret the collected data in a semi-auto/automated manner. Easy-to-use software based on the developed algorithms will be developed for implementation usage. In addition, workshops will be hosted for NMDOT personnel to demonstrate the research outcomes from the proposed project to extend the research impact. This project serves as an initialization stage of the proposed pilot program. In this project, an advanced UAS platform will be developed, pilots will be trained, laboratory flight and field tests has been performed to evaluate and optimize the UAS platform.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/85863/dot_85863_DS1.pdf
File Type:

[PDF - 2.72 MB]
Collection(s):

Artificial Intelligence Deployment Center of Excellence (AI COE) ; US Transportation Collection
Main Document Checksum:

urn:sha-512:e94153e8f2b92f9e67eae0e5eb3421be81aa9ff0662632d99f7ef7ba6202656dee0eda0456a6d0cee14e3a8e73f87b83dfc0d8d5059b1c4eeeb0243d4c45a1dc

File Language:

English

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