Review of artificial intelligence-based bridge damage detection

Y Zhang, KV Yuen - Advances in Mechanical Engineering, 2022 - journals.sagepub.com
Bridges are often located in harsh environments and are thus extremely susceptible to
damage. If the initial damage is not detected in time, it can develop further causing safety …

Datasets and processing methods for boosting visual inspection of civil infrastructure: A comprehensive review and algorithm comparison for crack classification …

G Yang, K Liu, J Zhang, B Zhao, Z Zhao, X Chen… - … and Building Materials, 2022 - Elsevier
Deep learning breakthrough stimulates new research trends in civil infrastructure inspection,
whereas the lack of quality-guaranteed, human-annotated, free-of-charge, and publicly …

[HTML][HTML] Operationalizing Digitainability: Encouraging mindfulness to harness the power of digitalization for sustainable development

S Gupta, J Campos Zeballos, G del Río Castro… - Sustainability, 2023 - mdpi.com
Digitalization is globally transforming the world with profound implications. It has enormous
potential to foster progress toward sustainability. However, in its current form, digitalization …

GPR-based detection of internal cracks in asphalt pavement: A combination method of DeepAugment data and object detection

Z Liu, X Gu, W Wu, X Zou, Q Dong, L Wang - Measurement, 2022 - Elsevier
The lack of data and poor quality of ground penetrating radar (GPR) images have limited the
development of the object detection for internal cracks in asphalt pavement. To address this …

[HTML][HTML] Assessment of pavement structural conditions and remaining life combining accelerated pavement testing and ground-penetrating radar

Z Liu, Q Yang, X Gu - Remote Sensing, 2023 - mdpi.com
The inspection and monitoring of structural conditions are crucial for the maintenance of
semi-rigid base pavement. To achieve the inverse calculation of material parameters and …

[HTML][HTML] Combined use of GPR and other NDTs for road pavement assessment: An overview

A Elseicy, A Alonso-Díaz, M Solla, M Rasol… - Remote Sensing, 2022 - mdpi.com
Roads are the main transportation system in any country and, therefore, must be maintained
in good physical condition to provide a safe and seamless flow to transport people and …

Bayesian optimization based random forest and extreme gradient boosting for the pavement density prediction in GPR detection

Y Chen, F Li, S Zhou, X Zhang, S Zhang… - … and building materials, 2023 - Elsevier
The Ground penetrating radar (GPR) adopts non-destructive and continuous
electromagnetic (EM) monitoring technology that is influenced by the dielectric properties of …

Automatic detection and location of pavement internal distresses from ground penetrating radar images based on deep learning

X Xiong, A Meng, J Lu, Y Tan, B Chen, J Tang… - … and Building Materials, 2024 - Elsevier
Ground penetrating radar (GPR) has been prevailingly applied in nondestructive testing of
internal distresses within asphalt pavement. However, the interpretation of abnormal echo …

[HTML][HTML] Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management

M Koohmishi, S Kaewunruen, L Chang… - Automation in Construction, 2024 - Elsevier
Railway track health monitoring and maintenance are crucial stages in railway asset
management, aiming to enhance the train operation quality and service life. For this aim …

Efficient LBP-GLCM texture analysis for asphalt pavement raveling detection using eXtreme Gradient Boost

MH Daneshvari, E Nourmohammadi, M Ameri… - … and Building Materials, 2023 - Elsevier
The raveling of asphalt pavement is the primary cause of decreasing road safety, comfort,
and service life. Because of the asphalt's complex texture, automatic raveling detection from …