Employing Artificial Intelligence (AI) To Enhance Infrastructure Inspections [Fact Sheet]

United States. Department of Transportation. Federal Highway Administration

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Employing Artificial Intelligence (AI) To Enhance Infrastructure Inspections [Fact Sheet]

2024-07-01
By United States. Department of Transportation. Federal Highway Administration

English

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Details:

Corporate Creators:

United States. Department of Transportation. Federal Highway Administration
Corporate Contributors:

United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center ; United States. Federal Highway Administration. Exploratory Advanced Research Program

United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center ; United States. Federal Highway Administration. Exploratory Advanced Research Program Less -
Subject/TRT Terms:

[+]

Artificial Intelligence Infrastructure Inspection Reinforced Concrete
Publication/ Report Number:

FHWA-HRT-24-055
Resource Type:

Brief
Right Statement:

Public Domain
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Federal Highway Administration
Abstract:

This fact sheet highlights the employing of artificial intelligence (AI) can be used to enhance infrastructure inspections. Assessing reinforced concrete structures for cracking, crack widths, patterns, and orientations usually involves some form of visual inspection. The Advanced Vision-Based Assessment of Infrastructure Systems project is developing technologies to help with visual bridge component inspection. These technologies will automatically and quantitatively assess transportation infrastructure maintenance needs in real-time.
Format:

PDF
Collection(s):

Federal Highway Administration
Main Document Checksum:

[+]

urn:sha-512:0e12e50a4a27d14ec1862abf50aa3977ed2258ea17c21d06f6c2a7787797f66c3532357a4416bc3642e8ce7b272f2c5faa7c32bc6a69a4c2241b1260aa5ea86f
Download URL:

/view/dot/81936/dot_81936_DS1.pdf
File Type:

[PDF-2.82 MB]