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 …
[HTML][HTML] The state-of-the-art review on applications of intrusive sensing, image processing techniques, and machine learning methods in pavement monitoring and …
In modern transportation, pavement is one of the most important civil infrastructures for the
movement of vehicles and pedestrians. Pavement service quality and service life are of …
movement of vehicles and pedestrians. Pavement service quality and service life are of …
Pavement distress detection using convolutional neural networks with images captured via UAV
Pavement distress detection is crucial in the decision-making for maintenance planning.
Unmanned aerial vehicles (UAVs) are helpful in collecting pavement images. This paper …
Unmanned aerial vehicles (UAVs) are helpful in collecting pavement images. This paper …
Road condition monitoring using smart sensing and artificial intelligence: A review
Road condition monitoring (RCM) has been a demanding strategic research area in
maintaining a large network of transport infrastructures. With advancements in computer …
maintaining a large network of transport infrastructures. With advancements in computer …
Automated crack segmentation in close-range building façade inspection images using deep learning techniques
Nowadays, unmanned aerial vehicles (UAVs) are frequently used for periodic visual
inspection of building envelopes to detect unsafe conditions or vulnerable damages …
inspection of building envelopes to detect unsafe conditions or vulnerable damages …
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 …
Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms
Computer vision algorithms have been utilized for 3-D road imaging and pothole detection
for over two decades. Nonetheless, there is a lack of systematic survey articles on state-of …
for over two decades. Nonetheless, there is a lack of systematic survey articles on state-of …
Multi-scale feature fusion network for pixel-level pavement distress detection
Automatic pavement distress detection is essential to monitoring and maintaining pavement
condition. Currently, many deep learning-based methods have been utilized in pavement …
condition. Currently, many deep learning-based methods have been utilized in pavement …
Combined use of GPR and other NDTs for road pavement assessment: An overview
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 …
in good physical condition to provide a safe and seamless flow to transport people and …
Automated crack severity level detection and classification for ballastless track slab using deep convolutional neural network
W Wang, W Hu, W Wang, X Xu, M Wang, Y Shi… - Automation in …, 2021 - Elsevier
The classification and treatment of cracks with different severity levels based on the width
measurement is a critical consideration in maintenance of ballastless track slab. Existing …
measurement is a critical consideration in maintenance of ballastless track slab. Existing …