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Recent computer vision applications for pavement distress and condition assessment
Amidst the unprecedented demographic boom, coupled with climate change, more pressure
is being exerted on road networks. Asset managers are thus in search for time and cost …
is being exerted on road networks. Asset managers are thus in search for time and cost …
Deep metric learning-based for multi-target few-shot pavement distress classification
H Dong, K Song, Q Wang, Y Yan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Pavement distress detection is of great significance for road maintenance and to ensure
road safety. At present, detection methods based on deep learning have achieved …
road safety. At present, detection methods based on deep learning have achieved …
Beyond crack: Fine-grained pavement defect segmentation using three-stream neural networks
Y Zhang, J Wu, Q Li, X Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Pavement defect segmentation is a fundamental task in the field of transport infrastructure
inspection. Existing methods mainly focus on detection/segmentation for long and thin …
inspection. Existing methods mainly focus on detection/segmentation for long and thin …
Automatic pavement crack detection using multimodal features fusion deep neural network
The existing pavement crack detection algorithms are all dealing with detection and
segmentation separately, ignoring the feature correlation between the bounding box …
segmentation separately, ignoring the feature correlation between the bounding box …
PDNet: Improved YOLOv5 nondeformable disease detection network for asphalt pavement
Z Yang, L Li, W Luo - Computational Intelligence and …, 2022 - Wiley Online Library
In the daily inspection task of the expressway, accuracy and speed are the two most
important indexes to reflect the detection efficiency of nondeformation diseases of asphalt …
important indexes to reflect the detection efficiency of nondeformation diseases of asphalt …
Enhancing automated health monitoring of road infrastructure through a hierarchical robust deep learning approach
F Deng, J **, X Chen, Z An… - Structural Health …, 2024 - journals.sagepub.com
The life-cycle monitoring of road health conditions is crucial for precise and automated
maintenance of road infrastructure. Despite this importance, existing machine vision-based …
maintenance of road infrastructure. Despite this importance, existing machine vision-based …
DuFNet: Dual Flow Network of Real-Time Semantic Segmentation for Unmanned Driving Application of Internet of Things.
T Duan, Y Liu, J Li, Z Lian, Q Li - CMES-Computer Modeling …, 2023 - search.ebscohost.com
The application of unmanned driving in the Internet of Things is one of the concrete
manifestations of the application of artificial intelligence technology. Image semantic …
manifestations of the application of artificial intelligence technology. Image semantic …