Using Artificial Intelligence to Evaluate Pavement Condition and Safety

This fact sheet highlights the project sponsored by Exploratory Advanced Research (EAR), that seeks to wants to enhance automation of pavement information collection for use in pavement condition safety and evaluation at highway speed. Through this project, titled Artificial Intelligence Approaches to Multi-Object Evaluations of Pavement for Condition and Safety, Oklahoma State University (OSU) researchers are developing novel approaches to pavement engineering while increasing safety.

Publication Details

Journal
ROSA P
Published
2024-09-13
DOI
https://doi.org/10.21949/1521492
Primary Topic
Advanced Neural Network Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Artificial Intelligence to Evaluate Pavement Condition and Safety

ROSA P
Advanced Neural Network Applications
article

Using Artificial Intelligence to Evaluate Pavement Condition and Safety

article en

Abstract

This fact sheet highlights the project sponsored by Exploratory Advanced Research (EAR), that seeks to wants to enhance automation of pavement information collection for use in pavement condition safety and evaluation at highway speed. Through this project, titled Artificial Intelligence Approaches to Multi-Object Evaluations of Pavement for Condition and Safety, Oklahoma State University (OSU) researchers are developing novel approaches to pavement engineering while increasing safety.

ROSA P
Openalex Percentile: Top 64%
Advanced Neural Network Applications
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Using Artificial Intelligence to Evaluate Pavement Condition and Safety · ROSA P (2024) | TGRS Research Map | TGRS