[HTML][HTML] Evaluation and optimisation of pre-trained CNN models for asphalt pavement crack detection and classification
S Matarneh, F Elghaish, FP Rahimian… - Automation in …, 2024 - Elsevier
This study explored the performance of ten pre-trained CNN architectures in detecting and
classifying asphalt pavement cracks from images. A comparison of eight optimisation …
classifying asphalt pavement cracks from images. A comparison of eight optimisation …
Automated detection and segmentation of cracks in concrete surfaces using joined segmentation and classification deep neural network
D Tabernik, M Šuc, D Skočaj - Construction and Building Materials, 2023 - Elsevier
Automated quality control of pavement and concrete surfaces is essential for maintaining
structural integrity and consistency in the construction and infrastructure industries. This …
structural integrity and consistency in the construction and infrastructure industries. This …
[HTML][HTML] Asphalt Pavement Damage Detection through Deep Learning Technique and Cost-Effective Equipment: A Case Study in Urban Roads Crossed by Tramway …
Asphalt pavements are subject to regular inspection and maintenance activities over time.
Many techniques have been suggested to evaluate pavement surface conditions, but most …
Many techniques have been suggested to evaluate pavement surface conditions, but most …
Feasibility of Advanced Reflective Cracking Prediction and Detection for Pavement Management Systems Using Machine Learning and Image Detection
SP Shin, K Kim, THM Le - Buildings, 2024 - mdpi.com
This research manuscript presents a comprehensive investigation into the prediction and
detection of reflective cracking in pavement infrastructure through a combination of machine …
detection of reflective cracking in pavement infrastructure through a combination of machine …