Results 31 to 40 of about 2,463 (283)

A review on automated pavement distress detection methods

Cogent Engineering, 2017
In recent years, extensive research has been conducted on pavement distress detection. A large part of these studies applied automated methods to capture different distresses.
Tom B.J. Coenen, Amir Golroo
doaj   +1 more source

Pavement Distress Estimation via Signal on Graph Processing

Sensors, 2022
A comprehensive representation of the road pavement state of health is of great interest. In recent years, automated data collection and processing technology has been used for pavement inspection. In this paper, a new signal on graph (SoG) model of road pavement distresses is presented with the aim of improving automatic pavement distress detection ...
Salvatore Bruno, Stefania Colonnese, Gaetano Scarano, Giulia Del Serrone, Giuseppe Loprencipe   +4 more
openaire   +3 more sources

Modelling the effects of flexible pavement distresses in the long-term pavement performance database on performance [PDF]

, 2023
Evaluating flexible pavement performance is mandatory for managing transport infrastructure. This study focuses on modeling the relationships between international roughness index (IRI) and a total of 10 types of pavement distress, including alligator ...
Ufuk Kırbaş, Fazlullah Himat
core   +2 more sources

Comparison of Flexible Pavement Distresses Monitored by North Carolina Department of Transportation and Long-Term Pavement Performance Program [PDF]

, 2010
The Long-Term Pavement Performance (LTPP) program has collected pavement distresses for general pavement study (GPS) sites throughout the country. These sites were used in the initial calibration of the Mechanistic–Empirical Pavement Design Guide, so it
Fadi M. Jadoun, Jeffery Neil Mastin, Y. Richard Kim, Judith Corley-Lay   +3 more
core   +1 more source

LTPLN: Automatic pavement distress detection

PLOS ONE
Automatic pavement disease detection aims to address the inefficiency in practical detection. However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios.
Wen-Qing Huang, Liu Feng, Yuan-Lie He
openaire   +2 more sources

PaveSAM – segment anything for pavement distress

Road Materials and Pavement Design
Automated pavement monitoring using computer vision can analyze pavement conditions more efficiently and accurately than manual methods. Accurate segmentation is essential for quantifying the severity and extent of pavement defects and consequently, the overall condition index used for prioritizing rehabilitation and maintenance activities.
Neema Jakisa Owor, Yaw Adu-Gyamfi, Armstrong Aboah, Mark Amo-Boateng   +3 more
openaire   +2 more sources

Quantitative Evaluation of Internal Pavement Distresses Based on 3D Ground Penetrating Radar

The Baltic Journal of Road and Bridge Engineering
Asphalt pavement will inevitably produce internal distresses during service, which increases the risk of deterioration of pavement structural performance.
Yong Liu, Zhiwen Zhang, Yang Yuan, Yunsheng Zhu, Kaifeng Wang   +4 more
doaj   +1 more source

Pavement Distress Detection and Segmentation using YOLOv4 and DeepLabv3 on Pavements in the Philippines

CoRR, 2021
Road transport infrastructure is critical for safe, fast, economical, and reliable mobility within the whole country that is conducive to a productive society. However, roads tend to deteriorate over time due to natural causes in the environment and repeated traffic loads.
openaire   +2 more sources

Evaluation of deep learning models for classification of asphalt pavement distresses [PDF]

Transfer learning (TL) offers a convenient methodology for exploiting the capability of deep convolutional neural networks (DCNNs) for many image classification tasks including the classification of pavement distresses.
Apeagyei, Alex, Adom-Asamoah, M., Ademolake, Toyosi Elijah   +2 more
core   +1 more source

Characterization of concealed pavement distresses based on ground-penetrating radar: an integrated experimental and numerical study

Frontiers in Materials
IntroductionThis work aims to establish and validate the characteristic ground penetrating radar (GPR) signatures for three typical concealed pavement distresses, namely, cracking, loosening, and voiding, by integrating laboratory experiments and ...
Xiaodong Jiao, Xiaodong Jiao, Xiaodong Jiao, Shengjie Liu, Jianping Xiong, Jianping Xiong, Xiaochao Li, Hui Li, Jianan Liu   +8 more
doaj   +1 more source