A novel approach for UAV image crack detection
Y Li, J Ma, Z Zhao, G Shi - Sensors, 2022 - mdpi.com
Cracks are the most significant pre-disaster of a road, and are also important indicators for
evaluating the damage level of a road. At present, road crack detection mainly depends on …
evaluating the damage level of a road. At present, road crack detection mainly depends on …
Crack detection and classification in moroccan pavement using convolutional neural network
Crack is a condition indicator of the pavement's structure. Generally, crack detection is an
essential task for effective diagnosis of the road network. Moreover, evaluation of road …
essential task for effective diagnosis of the road network. Moreover, evaluation of road …
[HTML][HTML] Autonomous detection of concrete damage under fire conditions
The rapid advancement in computer vision has facilitated new means for the automatic
assessment of structural damages. This study aims to develop a deep learning-based …
assessment of structural damages. This study aims to develop a deep learning-based …
Improved YOLOv5 network for real-time object detection in vehicle-mounted camera capture scenarios
Z Ren, H Zhang, Z Li - Sensors, 2023 - mdpi.com
Object detection in the process of driving is a convenient and efficient task. However, due to
the complex transformation of the road environment and vehicle speed, the scale of the …
the complex transformation of the road environment and vehicle speed, the scale of the …
A hybrid cracked tiers detection system based on adaptive correlation features selection and deep belief neural networks
Tire defects are crucial for safe driving. Specialized experts or expensive tools such as
stereo depth cameras and depth gages are usually used to investigate these defects. In …
stereo depth cameras and depth gages are usually used to investigate these defects. In …
What's cracking? A review and analysis of deep learning methods for structural crack segmentation, detection and quantification
Surface cracks are a very common indicator of potential structural faults. Their early
detection and monitoring is an important factor in structural health monitoring. Left untreated …
detection and monitoring is an important factor in structural health monitoring. Left untreated …
[HTML][HTML] Concrete and steel bridge Structural Health Monitoring—Insight into choices for machine learning applications
Abstract Structural Health Monitoring (SHM) systems have been installed on bridges across
the world at an increasing rate in recent years, providing vital data for bridge assessment …
the world at an increasing rate in recent years, providing vital data for bridge assessment …
CrackYOLO: Rural pavement distress detection model with complex scenarios
Y Li, S Sun, W Song, J Zhang, Q Teng - Electronics, 2024 - mdpi.com
The maintenance level of rural roads is relatively low, and the automated detection of
pavement distress is easily affected by the shadows of rows of trees, weeds, soil, and …
pavement distress is easily affected by the shadows of rows of trees, weeds, soil, and …
Image-based automated width measurement of surface cracking
The detection of cracks is an important monitoring task in civil engineering infrastructure
devoted to ensuring durability, structural safety, and integrity. It has been traditionally …
devoted to ensuring durability, structural safety, and integrity. It has been traditionally …
[HTML][HTML] Cascade refinement extraction network with active boundary loss for segmentation of concrete cracks from high-resolution images
Accurate extraction of cracks is important yet challenging in bridge inspection, particularly
that of tiny cracks captured from high-resolution (HR) images. This paper presents a crack …
that of tiny cracks captured from high-resolution (HR) images. This paper presents a crack …