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Hybrid Human-Artificial Intelligence Approach for Pavement Distress Assessment (PICUCHA)
This article proposes a new method named PICture Unsupervised Classification with Human Analysis (PICUCHA) to circumvent many of the limitations of existing approaches, based on a combination of human and artificial intelligence.
Date:
July 2017
Creator:
Salini, Reus; Xu, Bugao & Carvalho, Regis
System:
The UNT Digital Library
Pavement Distress Detection with PICUCHA Methodology for Area-Scan Cameras and Dark Images
This article discusses the test of the PICture Unsupervised Classification with Human Analysis (PICUCHA) performance with images taken with area-scan cameras and flash light illumination over a pavement with dark textures.
Date:
April 2017
Creator:
Salini, Reus; Xu, Bugao & Paplauskas, Paulius
System:
The UNT Digital Library
Impact of Image Resolution Pavement Distress Detection Using PICUCHA Methodology
This article describes a study focused on the analysis of a newly-developed pavement distress classification algorithm, called the PICture Unsupervised Classification with Human Analysis (PICUCHA) method, particularly the impact of image resolutions on its classification accuracy.
Date:
December 2016
Creator:
Salini, Reus; Xu, Bugao & Souliman, Mena
System:
The UNT Digital Library