Machine learning techniques for pavement condition evaluation
Pavement management systems play a significant role in country's economy since road
authorities are concerned about preserving their priceless road assets for a longer time to …
authorities are concerned about preserving their priceless road assets for a longer time to …
Review of pavement defect detection methods
Road pavement cracks detection has been a hot research topic for quite a long time due to
the practical importance of crack detection for road maintenance and traffic safety. Many …
the practical importance of crack detection for road maintenance and traffic safety. Many …
Automated pavement crack detection and segmentation based on two‐step convolutional neural network
Cracking is a common pavement distress that would cause further severe problems if not
repaired timely, which means that it is important to accurately extract the information of …
repaired timely, which means that it is important to accurately extract the information of …
Crackformer: Transformer network for fine-grained crack detection
Cracks are irregular line structures that are of interest in many computer vision applications.
Crack detection (eg, from pavement images) is a challenging task due to intensity in …
Crack detection (eg, from pavement images) is a challenging task due to intensity in …
A research on an improved Unet-based concrete crack detection algorithm
L Zhang, J Shen, B Zhu - Structural Health Monitoring, 2021 - journals.sagepub.com
Crack is an important indicator for evaluating the damage level of concrete structures.
However, traditional crack detection algorithms have complex implementation and weak …
However, traditional crack detection algorithms have complex implementation and weak …
A cost effective solution for pavement crack inspection using cameras and deep neural networks
Automatic crack detection on pavement surfaces is an important research field in the scope
of develo** an intelligent transportation infrastructure system. In this paper, a cost effective …
of develo** an intelligent transportation infrastructure system. In this paper, a cost effective …
Automated pavement crack segmentation using u-net-based convolutional neural network
Automated pavement crack image segmentation is challenging because of inherent
irregular patterns, lighting conditions, and noise in images. Conventional approaches …
irregular patterns, lighting conditions, and noise in images. Conventional approaches …
Automatic detection and counting system for pavement cracks based on PCGAN and YOLO-MF
D Ma, H Fang, N Wang, C Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The regular detection of pavement cracks is critical for life and property security. However,
existing deep learning-based methods of crack detection face difficulties in terms of data …
existing deep learning-based methods of crack detection face difficulties in terms of data …
Concrete crack detection using context‐aware deep semantic segmentation network
Computer‐vision and deep‐learning techniques are being increasingly applied to inspect,
monitor, and assess infrastructure conditions including detection of cracks. Traditional vision …
monitor, and assess infrastructure conditions including detection of cracks. Traditional vision …
Unmanned aerial vehicle (UAV)-Based pavement image stitching without occlusion, crack semantic segmentation, and quantification
Unmanned Aerial Vehicle (UAV)-based pavement distress detection offers efficient and safe
advantages. However, obstructions from road vehicles and the slender shape of cracks in …
advantages. However, obstructions from road vehicles and the slender shape of cracks in …