Automatic Image Recognition of Pavement Distress for Improving Pavement Inspection

International Journal of GEOMATE - Japan
doi 10.21660/2020.71.96640
Full Text
Abstract

Available in full text

Date
Authors
Publisher

International Journal of Geomate

Related search

Impact of Image Resolution on Pavement Distress Detection Using Picucha Methodology

Civil Engineering Journal
CivilStructural Engineering
2016English

Pavement Distress Classification Using Deep Learning Method Based on Digital Image

2020English

Optical Microtopographic Inspection of Asphalt Pavement Surfaces

2017English

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

Civil Engineering Journal
CivilStructural Engineering
2017English

The Optimal Implementation Policy of Pavement Inspection With Deterioration Uncertainty

Journal of Japan Society of Civil Engineers, Ser. E1 (Pavement Engineering)
2011English

Rapid Inspection of Pavement Markings Using Mobile Lidar Point Clouds

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2016English

Improved Image Processing of Road Pavement Defect by Infrared Thermography

Selected Scientific Papers - Journal of Civil Engineering
2018English

Experimental Study on Use of Reclaimed Asphalt Pavement as Aggregate Substitution for Flexible Pavement

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2018English

Studies for the Introduction of a Visual Inspection of the Community Road Pavement Maintenance at Minokamo

Journal of Japan Society of Civil Engineers, Ser. E1 (Pavement Engineering)
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy