Results 21 to 30 of about 36,097 (304)

Automatic Pavement Crack Recognition Based on BP Neural Network

open access: yesPromet (Zagreb), 2014
A feasible pavement crack detection system plays an important role in evaluating the road condition and providing the necessary road maintenance. In this paper, a back propagation neural network (BPNN) is used to recognize pavement cracks from images. To
Li Li   +3 more
doaj   +1 more source

Analysis and Optimization of the Causes of Cracks in the Pavement of Highway and Railway Intersections [PDF]

open access: yesE3S Web of Conferences
Firstly, an in-depth analysis is conducted on the principle of crack formation in the pavement panel of highway and railway level crossings and the reasons for cracks under load. Then, based on the characteristics of crack formation in the pavement panel,
Huang Xingqi   +3 more
doaj   +1 more source

Numerical Simulation on Reflective Cracking Behavior of Asphalt Pavement

open access: yesApplied Sciences, 2021
Cracks are one of the main problems that plague road workers. A correct understanding of the internal crack propagation mechanism of asphalt pavement will help road workers evaluate the road’s working status more comprehensively and make more reasonable ...
Houzhi Wang   +3 more
doaj   +1 more source

A Component Decomposition Model for 3D Laser Scanning Pavement Data Based on High-Pass Filtering and Sparse Analysis

open access: yesSensors, 2018
High-precision 3D laser scanning pavement data contains rich pavement scene information and certain components associations. Moreover, for pavement maintenance and management, there is an urgent need to develop automatic methods that can extract ...
Rong Gui   +6 more
doaj   +1 more source

A framework for pavement crack detection and classification

open access: yesIOP Conference Series: Materials Science and Engineering, 2020
Abstract Pavement damage detection is indeed a very important process for the management of roads. Nowadays, scholars are focusing on finding a simple and accurate way to detect road cracks aiming to increase its life span and improve its safety and quality.
Habib, Ahed, Kunt, Mehmet Metin
openaire   +2 more sources

Novel approaches and materials for healing asphalt cracks

open access: yesGrađevinar, 2023
Premature cracks in an asphalt pavement may damage its intact structure, substantially decrease its load-bearing capacity, degrade its driving comfort and safety, and even lead to total pavement failure.
Abdulgazi Gedik   +2 more
doaj   +1 more source

Pembinaan konstruk instrumen penilaian pasca penghunian untuk perumahan bertingkat yang dibina menggunakan kaedah Sistem Binaan Berindustri (IBS) [PDF]

open access: yes, 2021
Post Occupancy Evaluation (POE) is an activity of the building evaluation process with a focus on quality, operational performance and satisfaction of the occupants. The POE is important to evaluate completed and occupied buildings to identify weaknesses
A. Rahman, M. A.   +3 more
core   +2 more sources

Cracking of open traffic rigid pavement

open access: yesMATEC Web of Conferences, 2017
The research is done by observing the growth of real structure cracking in Natar, Lampung, Indonesia compared to C. Niken’s et al research and literature study. The rigid pavement was done with open traffic system. There are two main crack types on Natar
Niken Chatarina   +3 more
doaj   +1 more source

APLCNet: Automatic Pixel-Level Crack Detection Network Based on Instance Segmentation

open access: yesIEEE Access, 2020
The accurate and automatic detection of pavement cracks is essential for pavement maintenance. However, automatic crack detection remains a challenging problem due to the inconspicuous visual features of cracks in complex pavement backgrounds, the ...
Yuefei Zhang   +4 more
doaj   +1 more source

A specified procedure for distress identification and assessment for urban road surfaces based on PCI [PDF]

open access: yes, 2017
In this paper, a simplified procedure for the assessment of pavement structural integrity and the level of service for urban road surfaces is presented.
Loprencipe, Giuseppe   +1 more
core   +2 more sources

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