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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 …
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 …
DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism
Objective. Computer vision-based up-to-date accurate damage classification and
localization are of decisive importance for infrastructure monitoring, safety, and the …
localization are of decisive importance for infrastructure monitoring, safety, and the …
Deep learning-based road damage detection and classification for multiple countries
Many municipalities and road authorities seek to implement automated evaluation of road
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
Image-based crack detection approaches: A comprehensive survey
Automatic crack detection is a challenging task that has been researched for decades due to
the complex civil structures. Cracks on any structure are early signs of the deterioration of …
the complex civil structures. Cracks on any structure are early signs of the deterioration of …
Crack detection and analysis of concrete structures based on neural network and clustering
Y Choi, HW Park, Y Mi, S Song - sensors, 2024 - mdpi.com
Concrete is extensively used in the construction of infrastructure such as houses and
bridges. However, the appearance of cracks in concrete structures over time can diminish …
bridges. However, the appearance of cracks in concrete structures over time can diminish …
[HTML][HTML] Pothole detection using image enhancement GAN and object detection network
Many datasets used to train artificial intelligence systems to recognize potholes, such as the
challenging sequences for autonomous driving (CCSAD) and the Pacific Northwest road …
challenging sequences for autonomous driving (CCSAD) and the Pacific Northwest road …
Spatiotemporal kernel density clustering for wide area near Real-Time pothole detection
Identifying and fixing roadway potholes promptly can improve roadway safety and decrease
vehicular damage, which is essential in transportation infrastructure management …
vehicular damage, which is essential in transportation infrastructure management …
[HTML][HTML] An exploration of recent intelligent image analysis techniques for visual pavement surface condition assessment
Road pavement condition assessment is essential for maintenance, asset management, and
budgeting for pavement infrastructure. Countries allocate a substantial annual budget to …
budgeting for pavement infrastructure. Countries allocate a substantial annual budget to …
Image-based severity analysis of Asphalt pavement bleeding using a metaheuristic-boosted fuzzy classifier
Pavement management systems play a vital role in maintaining transportation infrastructures
by evaluating pavement distress to perform maintenance tasks efficiently. Severity analysis …
by evaluating pavement distress to perform maintenance tasks efficiently. Severity analysis …