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Hybrid Human-Artificial Intelligence Approach for Pavement Distress Assessment (PICUCHA)

Description: 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
Item Type: Refine your search to only Article
Partner: UNT College of Merchandising, Hospitality and Tourism
open access

Impact of Image Resolution Pavement Distress Detection Using PICUCHA Methodology

Description: 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
Item Type: Refine your search to only Article
Partner: UNT College of Merchandising, Hospitality and Tourism
open access

Pavement Distress Detection with PICUCHA Methodology for Area-Scan Cameras and Dark Images

Description: 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
Item Type: Refine your search to only Article
Partner: UNT College of Merchandising, Hospitality and Tourism
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